Tuesday, December 3, 2013

BI and big data analytics force an overdue reckoning between IT and business interests

Listen to the podcast. Find it on iTunes. Read a full transcript or download a copy. Sponsor: Dell Software.

The relationship between enterprise IT and lines of business leadership has not always been rosy. Sometimes IT holds the upper hand, and sometimes the business does an end-run around IT to use new tools or processes. They might even call it innovation.

Today, with the push toward big data and business intelligence (BI), a new chasm is growing between enterprise IT groups and business units. But, in this case, it could be disastrous because IT should be a big part of the big data execution.

The next BriefingsDirect discussion therefore examines how an ebb and flow between IT centralization and decentralization that swings in the direction of business groups, and even shadow IT, now runs the risk of neglecting essential management security and scalability requirements.

Indeed, big data and analytics should actually force more collaboration and lifecycle-based relationships among and between business and IT groups. For those organizations -- where innovation is being divorced from IT discipline -- we'll explore ways that a comprehensive and virtuous adoption of rigorous and protected data insights can both make the business stronger and make IT more valued.

To get to the bottom of why, BriefingsDirect recently sat down with John Whittaker, Senior Director of Marketing for Dell Software's Information Management Solutions Group. The discussion is moderated by me, Dana Gardner, Principal Analyst at Interarbor Solutions. [Disclosure: Dell Software is a sponsor of BriefingsDirect podcasts.]

Here are some excerpts:
Gardner: John, we seem to go back and forth between resources in organizations being tightly controlled and governed by IT, and then resources and control resting largely with the line of business or even, as I mentioned, with a shadow IT group of some sort. So over the past 20 or more years, why has this problem been so difficult to overcome? Why is it persistent? Why do we keep going back and forth?

Whittaker: That’s an interesting question, and I agree. I've been in IT for longer than 20 years and certainly in your study of history you can see that this ebb and flow of centralized management to gain some constraints or some controls in governance and security has been one of the primary motivators of IT. It’s one of the big benefits they provide, but in the backdrop, you have lines of business that want to innovate and want to go in new directions.

Whittaker
We’re entering one of those times right now with big data and the advent of analytics, and it’s driving lines of business to push into these new technologies, and maybe  in ways that IT isn’t ready for just yet.

This, as you mentioned, has been going on for some time. The last iteration where this occurred was back in the ’90s when e-commerce and the Web captured the imagination of business. We saw a lot of similarities to what's occurring today.

Big-data push

It ultimately caused some problems back in the ’90s around e-commerce and leveraging this great new innovation of the Internet, but doing it in a way that was more decentralized. It was a little bit more of the Wild West-based approach and ultimately led to some pretty significant issues that I think we are going to see out of the big data and analytics push that’s occurring right now.

Gardner: I suppose to be fair to each constituency here, it’s the job of IT to be cautious and to try to dot all the i’s and cross the t’s. There were a lot of people in 1996-97 who didn’t necessarily think the Internet was going to be that big of a thing, it seemed to have lots of risk associated with it. So, I suppose due diligence needed to be brought to bear.

http://software.dell.comOn the other hand, if the businesses didn’t recognize that this could be a huge opportunity and we needed to take those risks -- create a website, and enter into a direct dialogue with customers to a new channel -- they would have missed a big opportunity. So these are sort of natural roles, but they can’t be too brittle.

Whittaker: You’re absolutely right. At their core, both groups had, and have, good motivations. IT lives in a world of constraints, of governance, security, and of needing to deliver something that’s going to be stable, that’s going to scale, that’s going to be secure, and that’s not going break governance.
Nobody in either group is trying to harm the business or anything close to it.

Those are laudable goals to have in mind. From the line-of-business perspective, the business wants to innovate and doesn’t want to be outmoded by its competitors. They rightfully see that all these great innovations are coming, and analysts, pundits, and experts are talking about how this is going to make a huge difference for businesses.

So they inevitably want to embrace those, and you have this cognitive dissonance occurring between the IT goals around constraints and the desire to keep things running in a clean and efficient manner. IT is seeing this new technology and saying, “Hold on. We don’t necessarily want to jump into this. This is going to break our model.”

Ultimately, IT gets to a point where maybe they suggest we shouldn’t do it or we should push it off for some time. That’s where the chasm between the two gets started. From the business perspective, the answer “no” is unacceptable, if they feel that’s what they need to do to achieve success in business. They own the profit and loss responsibilities. That’s where these problems come from.

Nobody in either group is trying to harm the business or anything close to it. They just have different motivations and perspectives on how to approach something, and when one gets wildly far apart from the other, that’s where these problems tend to occur. Again, when these big innovation cycles happen, you’re more likely to see a lot of these problems start to occur.

I definitely remember back in 1996-1997. We didn’t call it shadow IT at the time, but you saw IT-like personnel being hired into functional business areas to institute these new technologies, and that ultimately led to a pretty serious hangover at the end of that innovation cycle.

Gardner: What’s the risk of ignoring IT, doing an end-run around them, or downplaying the role? What form does it take?

On their own

Whittaker: Ignoring IT can have some pretty serious problems. It all starts with the fact that, and by and large, businesses can embrace these new technologies without the aid of IT.  Cloud-based implementations have made it possible for lines of business to rapidly deploy some of these new big data technologies, and you have vendors in some cases telling them they don’t need IT’s help. So it’s not all that difficult for lines of business to go out on their own and implement a big data technology.

But they don’t typically have the discipline to apply across-the-board governance capabilities and discipline into their deployment and that leads to potential issues with regulatory requirements. It also leads to security issues, and ultimately can lead to problems where you have seriously bad data management issues.

You have data sunk in silos, and maybe the CEO wants to know how much business we’re doing with x, y, and z. No one can deliver that, because we call x, y, and z, something in one system, a different name in another system, and a different name in the third system. Trying to pull that data together becomes really difficult. When you have lines of business independently operating disparate solutions, those core governance issues tend to break down.

Additionally, although they are great at spotting innovation opportunities, line of business people are not necessarily in the business of building scalable, secure, stable environments. That’s not the core of, say, marketing. They need to understand how the technology can be leveraged, but maintaining and managing it is not core to their charter. It tends to be ignored.
There are a lot of lessons that can be learned from the concept of working closely together, iterating rapidly, and being open to innovation and the idea that changes occur.

Gardner: John, it strikes me that there are some examples within IT that help understand this potential problem and even grab some remediation, and that’s in software development. We’ve seen the complexity in groups working without a lot of coordination and shared process insights and have run aground.

For many years, we saw a very high failure rate among software development projects, but more recently, we’ve seen improvements -- agile, scrum, opening up the process, small iterative steps that then revert back to an opportunity to take stock and know what everyone is doing, checking in, checking out with centralization -- but without stifling innovation. Is there really a lesson here in what’s happened within software development that could be brought to the whole organization?

Whittaker: Absolutely. In fact, within Dell Software itself we embrace agile and use scrum internally. There are a lot of lessons that can be learned from the concept of working closely together, iterating rapidly, and being open to innovation and the idea that changes occur.

Particularly in these major innovation cycles, it’s important to go with the flow and implement some of these new technologies and new capabilities early, so you can have that brain trust built internally among the broad team. You don’t want IT to hold the reins entirely, and at the same time, you don’t want line of business to do it.

We really need to break that model, that back and forth, centralization-decentralization swing that keeps occurring. We need to get to a point where we really are partnering and have good collaboration, where innovation can be embraced and adopted, and the business can meet its goals. But it has to be done in a way that IT can implement sound governance and implement solutions that can scale, are stable, are reliable, and are going to lead to long-term success.

Back-and-forth

Gardner: What’s different this time, John? Are the stakes higher because we’re talking about data analysis? That’s basically intelligence about what’s going on within your markets, your organization, your processes, your supply chain, your ecosystem, all of which could have a huge bearing.

We have the ability now to tackle massive amounts of data very rapidly, but if we don’t bring this together holistically, it seems as if there is a larger risk. I’m thinking about a competitive risk. Others that do this well could enter your market and really disrupt.

Whittaker: You’re absolutely right. There’s great potential benefit that organizations receive or can get out of leveraging big data and analytics, that of being able to determine predictively what is going to occur in their business and what are the most efficient routes to market and what areas of improvements can occur.

The businesses that leverage this are going to outmode, outperform, and ultimately win in the markets currently dominated by organizations who aren’t paying attention and who aren’t implementing solutions today. They’re getting a little bit ahead of this cycle so that they are ready and are able to be successful down the road.
We’re really moving into an era where the context of what’s happening is critically important.

We’re really moving into an era where the context of what’s happening is critically important. A data-driven management model is going to be embraced and it’s ultimately going to lead to more successful organizations. Companies and organizations that embrace this today are going to be the winners tomorrow.

If you’re ignoring this or putting this off, you’re really taking a tremendous risk, because this next iteration of innovation that’s occurring around analytics applies to large data sources. It’s being able to build the correlations and determine that this is a more efficient approach, or conversely, that we have a problem with this outlier that’s going to give us issues down the road.

If you’re not doing that as an organization, you really are running a pretty tremendous risk that somebody else is going to walk in and be able to make smarter decisions, faster.

Gardner: At the same time, your customers are gaining insights into how to procure all the better. And so any rewards that might be out there, if you are in a sales role of any kind, would become much more apparent.

Whittaker: That’s definitely true as well. The construct and the conversation has really shifted. With the advent of social media and the pace at which information is shared and opinions are made, it’s no longer the company that is the primary voice about its products and its capabilities or its positions and point of views.

Customers more empowered

It needs to have those. It needs to get them out. It needs to push them. But in this new world we live in, the customers are so much more empowered than they have ever been before, and it should be a good thing. For companies that are delivering great products and solving real problems for their customers, this should be great news.

If you’re not listening to what your customers are saying in social media and if you’re not paying attention to the ongoing story line and conversation of your firm in the social sphere, you’re really putting yourself at risk. You’re missing out on a tremendous opportunity to engage with your customers in a new, interesting, and very useful way.

That’s a lot of what we built. We have a lot of capabilities here at Dell Software around data management, data integration, and data analysis. On the analysis side, we spend a great deal of time with products like Kitenga and our social networking analytics platforms to do that semantic analysis and look into that form of big data.

But big data is more than just social. It’s also sensor data. The iterative thing is another area where businesses should be innovating and organizations should be pushing to take advantage of it. That’s where line of business should be saying, “We need to get out into this area, or if we don’t, we’re going to be outmoded by our competitors.” And IT should be encouraging it. They should be pushing for more innovation, bringing new ideas, and being a real partner and collaborator at the table within the business and organization. That’s the right way to do this.
IT could use big data analytics to improve its own environment and to answer this crisis of confidence that exists.

And IT itself should be applying some of these technologies. In fairness to line of business, there exists a bit of a crisis of confidence in IT, and there’s really no better way to push against that or fight against that then to be able to run analytics on the solutions you’re providing. How well is IT performing? Are you benchmarking against past performance? How do you benchmark against your industry?
That’s another component. Big-data analytics can be utilized by IT not just to deliver capabilities to the organization or push out and help with connecting to the customer. IT could use big data analytics to improve its own environment and to answer this crisis of confidence that exists.

You could turn these tools internally and look at rates of response as compared to your industry, how your network is performing, how your database is performing, or how the code you write is performing. Are your developers efficient in building clean code?

Everybody has been watching the major shift in the healthcare environment in North America. A big component of that probably should have been more benchmark analysis, analytics on code quality, and things of that nature. That’s a great current and topical example of how IT should be utilizing some of these technologies, not just externally, not just bringing it to line of business, but within its own environment, to prove that it’s building systems that are going to be scalable, secure, and stable.

Gardner: What needs to take place in order for this higher level of coordination and collaboration to take place? Are there any key steps that you have in mind for embarking on this?

Four key areas

Whittaker: I think that there are four key areas that need to occur for this collaboration to happen. Number one, senior executives need to be aligned to what the organization is trying to achieve. They need to articulate a common vision that accounts for the shared interest of both IT and line of business and make it clear that they expect collaboration. That should come at the top of the organization.

We need to get out of the smoke-stacked, completely siloed, organizational approaches and get to something that’s far, far more collaborative, and that needs to come from the top. The current approach is not acceptable. These groups need to work together. That’s a key component. If you don’t have buy-in at the top, it makes it really hard for this collaboration to occur.

Number two, IT needs to get its house in order. This means many things, but primarily, it means overcoming the crisis of confidence line of business has in IT by coming to the table with an approach that works for line of business, something that business aligns with such that it feels like it has IT involvement and that they’re buying into the future that the business wants to head towards. IT needs to show that they have a plan that does not compromise the innovations that the business needs.

IT absolutely can no longer just say no. That’s not an acceptable position. Certainly, if you look back, there were IT organizations that were saying, “No, we’re not going to connect to the Internet. It’s not secure. The answer is just going to be no.”

That didn’t work out for them and it’s not going to work out here either. They should be embracing this shift. We shouldn’t perpetuate this cycle by driving more shadow IT and creating ultimately more for IT down the road as inevitable problems start to emerge.
We shouldn’t perpetuate this cycle by driving more shadow IT and creating ultimately more for IT down the road as inevitable problems start to emerge.

Number three, clear the air and put the executive plan in place. Tensions between IT and line of business have gotten to the point where they can’t be ignored any more. Put the stakeholders together in a room, air out the difficulties, and move forward with a clean slate. This is a tremendous opportunity to build a plan that meets both parties’ needs and allows them to start executing on something that’s really going to make a huge impact for the business.

Finally, the fourth point, seek solutions that emphasize collaboration between IT and the business. Many vendors today are encouraging groups to go rogue and operate in silos, and that’s causing a lot of the problem. At Dell, we’re much more about pushing a more collaborative approach. We think IT is terrific, but business has a point. They need innovation and they need IT to step up. And the business needs to embrace IT.

Instead of conflicting with each other and doing your own thing, back up your commitment to collaboration and utilize tools that empower it. That’s where we’re going to win, and that’s how business is going to succeed in the future.

This isn’t something that the G20, the Fortune 500, or Fortune 2000 alone can benefit from. This goes way down in the hierarchy, in the stack, certainly down to the small- and medium-sized business (SMB) level. And maybe even lower. If you’re a data-intensive small business, you probably need to start implementing and taking a look at big data and what analytics based approaches and data-driven decision making opportunities exist within your organization, or you will be outmoded by organizations that do embrace that.

Cloud-based approach

More and more, we’re seeing, particularly in the mid-market, embracing of a cloud-based approach. It's important to point out that that approach is fine and terrific. We love the cloud and we’re big proponents of it, but using a cloud-based solution doesn’t free line of business from the need to collaborate with IT. It will not eliminate this problem.

We’re seeing terrific IT departments and leadership starting to take a larger role, starting to ultimately become drivers of innovation. That’s really what we want to see. All businesses want the same thing. They want to find sustainable competitive advantages. They want to control spending. They want to reduce risk to the business.
And the most effective and efficient path to achieving all three is getting IT and the business aligned and allowing that collaboration to occur. That’s really at the crux of how businesses are going to gain competitive advantage out of technology in the future.

Embrace new technology

The big points are, embrace the new technology that’s coming out. The innovation is going to make your business far more successful, and your organization will prosper from these new innovations that will occur.

Number two, do it in a manner that is collaborative between IT and line of business. The CIO, the CMO, the CFO, the CEO, the heads of all of the functional departments, whether you are in sales, marketing, finance, operation, wherever you are, should be aligning with their IT counterparts. It's the combined collaborative approach that’s going to win the day.

And finally, this should really be driven top-down. Senior executives, this is an opportunity to get everybody on the same page to go after and leverage a pretty enormous opportunity before it becomes a huge problem. Let’s get out there right now. We’re still in the early days, but that doesn’t mean there’s not a lot to be gained. And ultimately, in the long-term, we’re going to have more successful organizations able to achieve even greater output through this collaboration and the leveraging of big data analytics.

Monday, November 18, 2013

Enterprise Tablets: Choose a Device Nature That Best Supports Cloud Nurturing

Now that server hardware decisions are no-brainers (thanks to virtualization and the ubiquity of multi-core 64-bit x86), deciding on the enterprise-wide purchase of a tablet computer types will be the biggest hardware choice many IT leaders will make.

So what guides these tablet decisions? Do the attributes of the mobile device and platform (the nature of the thing) count most? Or is it more important that it conforms to the fast-changing needs of the back-end services and cloud ecosystem? Can the tablet be flexible and adaptive, to act really as many client types in one (the nurture)?
Can the tablet be flexible and adaptive, to act really as many client types in one (the nurture)?

Given how the requirements from enterprise to enterprise vary so much, this is a hugely complex issue. We've seen a rapidly maturing landscape of new means to the desired enterprise tablet ends in recent years: mobile device management (MDM), containerization and receiver technology flavors, native apps, web-centric apps, recasting virtual desktop infrastructure (VDI). It is still quite messy, really, despite the fact that this is a massive global market, the progeny of the PC market of the past 25 years.

Some think that bring your own device (BYOD) will work using these approaches on the user’s choice of tablet. If so, IT will be left supporting a dozen or more mobile client device types and/or versions. You and I know that can’t happen. The list of supported device types needs to be under six, preferably far less, whether it’s BYOD or quasi-BYOD.

Ticking time bomb

Yet enterprises must act. Users are buying and making favorites. Mobility is an imperative. These tablet hardware decisions must be made.

Think of it. You’re an IT leader at a competitive enterprise and rap, rap, rapping on your Windows to get in ASAP are BYOD, mobile apps dev, Android apps, iOS apps, and hybrid-cloud processes.

You have a lot to get done fast amid complex overlaps and interdependencies from your choices that could haunt you — or bless you — for years. And, of course, you have a tight budget as you fight to keep operating costs in check, even as scale requirements keeping rising.
Back-end strategy and procurement decisions count more than at any time in the last 12 years.

Somewhere in this 3D speed chess match against the future there are actual hardware RFPs. You will be buying client hardware for the still large (if not predominant) portion of the workforce that won’t be candidates for BYOD alone. And a sizable portion of these workers are going to need an enterprise tablet, perhaps for the first time. They want you to give it to them.

This cost-benefit analysis vortex is where I decided to break from my primary focus on enterprise software and data-center infrastructure to consider the implications of the mobile client hardware. My dearly held bias is that the back-end strategy and procurement decisions count more than at any time in the last 12 years.

Better not brick

But at the end of the network hops, there still needs to be a physical object, on which the user will get and put in the work that matters most. This object cannot, under any circumstances, become a weak link in the hard-won ecosystem of services that support, deliver, and gather the critical apps and data. This productivity symphony you are now conducting from amid your legacy, modern data center, and cloud/SaaS services must work on every level — right out to those greasy fingertips on the smart tablet glass.

Yes, the endpoint must be as good as the services stream behind them, yet not hugely better, not a holy shiny object that tends to diminish the rest, not just a pricey status symbol — but a workhorse that can be nurtured and that can adapt as demanded.
There still needs to be a physical object, on which the user will get and put in the work that matters most.

So I recently received and evaluated a Levono ThinkPad Tablet 2 running Windows 8 as well as an iPad Air running iOS 7. I wanted to get a sense of what the enterprise decisions will be like as enterprises seek the de facto standard mass-deployed tablet for their post-PC workforce. [Disclosure: Intel sent me, for free, a Lenovo ThinkPad as a trial, and I bought my own iPad Air. I do not do any business with Apple, Lenovo, or Intel.]

Let’s be clear, I’m a long-time Apple user by choice, but still run one instance of Windows 7 on a PC just in case there are Windows-only apps or games I need or want access to. This also keeps up my knowledge on Windows in general.

Good enough is plenty

Here’s what I found. I personally love the iPad Air, but the Lenovo ThinkPad Tablet 2 was surprisingly good, certainly good enough for enterprise uses. I will quibble with efficacy of the stylus, that the Google Chrome browser is better on it than Microsoft IE, that the downloads for both are a pain, and that battery life is a weakness on Lenovo — but these are not deal breakers and will almost certainly get better.

What’s key here is that the apps I wanted were easily accessed. There’s a store for that, regardless of the device. Netflix just runs. The cloud services and my data/profile/preferences were all gained quickly and easily. The synching across devices was quickly running. Never having used Windows 8, although familiar with Windows 7, was not an issue. I picked it up quickly, very quickly.
So the nature of the device is not the major factor, not a point of lock-in, or even a decision guide.

Any long-time Windows user, the predominant enterprises worker, will adapt to an Intel-powered Lenovo device running Windows quite well. And enterprise IT departments already know the strengths and weaknesses of Windows, be it 7 or 8, and they know they will have to pay Microsoft its use taxes for years to come in any event, given their dependence on Microsoft apps, servers, services and middleware.

But that same enterprise tablet user will graft well to an Android device, an iOS device (thanks to market penetration of iPod, iTunes and iPhone), or perhaps a Kindle Fire. Users will have their personal cloud affiliations and the services can be brught to any of these devices and platforms. It can be both a work and a personal device. Or you could easily carry two, especially if the company pays for one of them. As has been stated better elsewhere, these tablets are pretty much the same.

So the nature of the device is not the major factor, not a point of lock-in, or even a decision guide. Because of the single-sign-on APIs from cloud and social media providers, you can now go from tablet to tablet, find your cloud of choice — be it Google, Apple, Microsoft, Facebook, Yahoo, or Amazon. You know how you can just rent bicycles in many cities now and just ride it and drop it off? Same for everyone. This is the future of tablet devices too. Quite soon, actually. Rent it, log in, use it, move on.

Perhaps enterprises should just lease these things?

Enterprises must still choose

Which tablets then will connect back best to the enterprise? Will the business private cloud services be as easily assimilated as the public cloud ones? What of containerization support, isolation and security features, and/or apps receiver technology flavors? Apple’s iOS 7 goes a long way to help enterprises run their own identity and access management (IAM) and isolate apps and run a virtual private connection. Windows 8 has done this all along. Google and Amazon are happy to deliver cloud services just as well. There are the three or four flavors.

After using the Lenovo ThinkPad Tablet 2 running Windows 8, it astounds me that Microsoft lost this market and has to claw back from such low penetration in the mobile market. This should have been theirs by any reckoning. Years ago.

Now it’s too late for the device and client platform alone to dictate the market direction. It’s now a function of how the business cloud services can best co-exist with a personal device instance. Because this coexistence will be a must-have capability, it doesn’t really matter what the device is. Any of the top three or four will do.

The ability of the device to best nurture the business and the end-users -- both separate while equal in the same hardware -- that’s the ticket. The rest is standard feature check-offs.

You may also be interested in:

Wednesday, November 13, 2013

Cardlytics on HP Vertica powers millions of swiftly tailored marketing offers to bank card consumers

Listen to the podcast. Find it on iTunes. Read a full transcript or download a copy. Sponsor: HP.

The next edition of the HP Discover Podcast Series delivers an innovation case study interview that highlights how data-intensive credit- and debit-card marketing services provider, Cardlytics, delivers millions of highly tailored marketing offers to banking consumers across the United States.

Cardlytics, in adopting a new analytics platform, gained huge data analysis capacity, vastly reduced query times, and swiftly met customer demands at massive scale.

To learn how, we sat down with Craig Snodgrass, Senior Vice President for Analytics and Product at Cardlytics Inc., based in Atlanta. The discussion, which took place at the recent HP Vertica Big Data Conference in Boston, is moderated by me, Dana Gardner, Principal Analyst at Interarbor Solutions. [Disclosure: HP is a sponsor of BriefingsDirect podcasts.]

Here are some excerpts:
Gardner: At some point, you must have had a data infrastructure or legacy setup that wasn't meeting your requirements. Tell us a little bit about the journey that you've been on gaining better analytic results for your business.

Snodgrass: As with any other company, our data was growing and growing and growing. Also growing at the same time was the number of advertisers that we were working with. Since our advertisers spanned multiple categories -- they range from automotive, to retail, to restaurants, to quick-serve -- the types of questions they were asking were different.

Snodgrass
So we had this intersection of more data and different questions happening at a vertical level. Using our existing platform, we just couldn't answer those questions in a timely manner, and we couldn't iterate around being able to give our advertisers even more insights, because it was just taking too long.

First, we weren’t able to even get answers. Then, when there was the back-and-forth of wanting to understand more or get more insight it just ended up taking longer-and-longer. So at the end of the day, it came down to multiple and unstructured questions, and we just couldn't get our old systems to respond fast enough.

Gardner: Who are your customers, and what do you do for them?

Growing the business

Snodgrass: Our customers are essentially anybody who wants to grow their business. That's probably a common answer, but they are advertisers. They're folks who are used to traditional media, where when they do a TV or radio ad. They're hitting everybody, people that were going to come to their store anyways and people who probably weren’t going to come to their store.

We're able to target who they want to bring into their store through looking at both debit-card and credit-card purchase data, all in an anonymized manner. We’re able to look at past spending behavior, and say, based on those spending behaviors, that these are the types of customers that are most likely to come to your store and more importantly, most likely to be a long-term customer for you.

We can target those, we can deliver the advertising in the form of a reward, meaning the customer actually gets something for the advertising experience. We deliver that through their bank.

The bank is able to do this for their customers as well. The reward comes from the bank, and the advertiser gets a new channel to go bring in business. Then, we can track for them over time what their return on ad-spend is. That’s not an advantage they’ve had before with the traditional advertising they’ve been doing.
It works inside of retail, just as well as restaurants, subscriptions, and the other categories that are out there as well.

Gardner: So it sounds like a win, win, win. As a consumer, I'm going to get offers that are something more than a blanket. It's going to be something targeted to me as the bank that’s providing the credit card. They're going to get loyalty by having a rewards effort that works. Then, of course, those people selling goods and services have a new way of reaching and marketing those goods and services in a way they can measure.

Snodgrass: Yeah, and back to this idea of the multiple verticals. It works inside of retail, just as well as restaurants, subscriptions, and the other categories that are out there as well. So it's not just a one-category type reward.

A customer will know quickly when something is not relevant. If you bring in a customer for whom it may not be relevant or they weren’t the right customer, they're not going to return.
The advertiser isn't going to get their return on ad-spend. So it's actually in both our interests to make sure we choose the right customers, because we want to get that return on ad-spend for the advertisers as well.

Gardner: Craig, what sort of volume of data are we talking about here?

Intersecting growth

Snodgrass: We're doing roughly 10 terabytes a year. From a volume standpoint, it's a combination of not just the number of transactions we're bringing in, but the number of requests, queries, and answers that we’re having to go against it. That intersection of growth in volume and growth in questions is happening at the same time.

For us right now, our data is structured. I know a lot of companies are working on the unstructured piece. We're in a world where in the payment systems and banking systems, the data is relatively structured and that's what we get, which is great. Our questions are unstructured. They're everywhere from corporate real estate types of questions, to loyalty, to just random questions that they've never known before.

One key thing that we can do for advertisers is, at a minimum, answer two large questions. What is my market share in an area? Typically, advertisers only know when customers come into their store with that transaction. They don't know where that customer goes and, obviously, they don't know when people don’t come into their store.

We have that full 360-degree view of what happens at the customer level, so we can answer, for a geographic area or whatever area that an advertiser wants, what is their market share and how is their market share trending week-to-week.

The other piece is that when we do targeting, there could be somebody that visits a location three times over a certain time period. You don't know if they're somebody who shops the category 30 times or if they only shop them three times. We can actually answer share-of-wallet for a customer, and you can use that in targeting, designing your campaigns, and more importantly, in analysis. What's going on with these customers?
For us, with Vertica, one of the key components isn't just the speed, but how quick we can scale if the number of queries goes up.

Gardner: So the better job you do, the more queries will be generated.

Snodgrass: It's a self-fulfilling prophesy. For us, with Vertica, one of the key components isn't just the speed, but how quick we can scale if the number of queries goes up. It's relatively easy to predict what our growth and data volume is going to be. It is not easy for me to predict what the growth in queries is going to be. Again, as advertisers understand what types of questions we can answer, it's unfortunately a ratio of 10 to 1. Once they understand something, there are 10 other questions that come out of it.

We can quickly add nodes and scalability to manage the increase in volumes of queries, and it's cheap. This is not expensive hardware that you have to put in. That is one of the main decision points we had. Most people understand HP Vertica on the speed piece, but that and the quick scalability of the infrastructure were critical for us.

Gardner: Just as your marketing customers want to be able to predict their spend and the return on investment (ROI) from it, do you sense that you can predict and appreciate, when you scale with HP Vertica what your costs will be? Is there a big question mark or do you have a sense of, I do this and I have to pay that?

Snodgrass: It is the "I do this and I'll have to pay that," the linearness. For those who understand Vertica, that’s a bit of a pun, but the linear relationship is that if we need to scale, all we need to do is this. It's very easy to forecast. I may not know the date for when I need to add something, but I definitely know what the cost will be when we need to add it.

Compare and contrast

Gardner: How do you measure, in addition to that predictability of cost, your benefits? Are there any speeds and feeds that you can share that compare and contrast and might help us better understand how well this works?

Snodgrass: There are two numbers. During the POC phase, we had a set of 10 to 15 different queries that we used as a baseline. We saw anywhere from 500x to 1,000x or 1,500x speed in return of getting that data. So that’s the first bullet point.

The second is that there were queries that we just couldn't get to finish. At some point, when you let it go long enough, you just don't know if it is going to converge. With Vertica, we haven't hit that limit yet.

Vertica has also allowed to have varying degrees of analysts’ capabilities when it comes to SQL writing. Some are elegant and they write fantastic, very efficient queries. Others are still learning the best way to go put the queries together. They will still always return with Vertica. In the legacy world prior to Vertica, those are the ones that just wouldn't return.
In a SaaS shop, there are a lot of things that you're going to do in SaaS that you are not going to go do in SQL

I don’t know the exact number for how much more productive they are, but the fact that their queries are always returning, and returning in a timely manner, obviously has dramatically increased their productivity. So it's a hard one to measure, but forget how fast the queries have returned, the productivity of our analyst has gone up dramatically.

Gardner: What could an analytics platform do better for you? What would you like to see coming down the pipeline in terms of features, function, and performance?

Snodgrass: If you could do something in SQL, Vertica is fantastic. We'd like more integration with R, more integration with software as a service (SaaS), more integration with these sophisticated tools. If you get all the data into their systems, maybe they can manipulate it in a certain way, but then, you are managing two systems.

Vertica is working on a little bit better integration with R through distributed R, but there's also SaaS as well. In a SaaS shop, there are a lot of things that you're going to do in SaaS that you are not going to go do in SQL. That next level of analytics integration is where we would love to go see the product go.

Gardner: Do you expect that there will be different types of data and information that you could bring to bear on this? Perhaps some sort of camera, sensor of some sort, point-of-sale information, or mobile and geospatial information that could be brought to bear? How important is it for you to have a platform that can accommodate seemingly almost any number of different information types and formats?

Snodgrass: The best way to answer that one is that we don't ever want to tell business development that the reason they can't pursue a path is because we don't have a platform that can support that.

Different paths

Today, I don't know where the future holds from these different paths, but there are so many different paths we can go down. It's not just the Vertica component, but the HP HAVEn components and the fact that they can integrate with a lot of the unstructured, I think they call it “the human data versus the machine data.”

It's having the human data pathway open to us. We don't want to be the limiting factor for why somebody would want to do something. That's another bullet point for HP Vertica in our camp. If a business model comes out, we can support it.
Listen to the podcast. Find it on iTunes. Read a full transcript or download a copy. Sponsor: HP.

You may also be interested in:

Wednesday, November 6, 2013

Efficient big data capabilities help Cerner drive needed improvements into healthcare outcomes

Listen to the podcast. Find it on iTunes. Read a full transcript or download a copy. Sponsor: HP.

The next edition of the HP Discover Podcast Series delves into how a healthcare solutions provider leverages big-data capabilities. We’ll see how Cerner has deployed the HP Vertica Analytics platform to help their customers better understand healthcare trends, as well as to help them better run their own systems.

To learn more about how high-performing and cost-effective big data processing forms a foundational element to improving healthcare quality and efficiency, join Dan Woicke, Director of Enterprise Systems Management at Cerner Corp. based in Kansas City, Missouri.

The discussion, which took place at the recent HP Vertica Big Data Conference in Boston, is moderated by me, Dana Gardner, Principal Analyst at Interarbor Solutions. [Disclosure: HP is a sponsor of BriefingsDirect podcasts.]

Here are some excerpts:
Gardner: We're going through some major transitions in how healthcare payments are going to be made -- and how good care is defined. We're moving from pay for procedures to more pay for outcomes. So tell me about Cerner, and why big data is such a big deal.

Woicke: The key element here is that the payment structure is changing to more of an outcome model. In order for that to happen, we need to get all the sources of data from many, many disparate systems, bring them in, and let our analysts work on what the right trends are and predict quality outcomes, so that you can repeat those and stay profitable in the new system.

My direct responsibility is to bring in massive amounts of performance data. This is how our Cerner Millennium systems are running.
We have hundreds of clients, both in the data center and those that manage their own systems with their own database administrators (DBAs). The challenge is just to have a huge system like that running with tens of thousands of clinicians on the system.

We need to make sure that we have the right data in place in order to measure how systems are running and then be able to predict how those systems will run in the future. If things are happening that might be going negative, how can we take the massive amounts of data that are coming into our new analytical platform, correlate those parameters, predict what’s going to happen, and then take action before there is a negative?

Effect change

We want to be able to predict what’s happening, so that we can effect change before there is a negative impact on the system.

Gardner: How does big data and the ability to manage big data get you closer to the real-time and then, ultimately, proactive results your clients need?

Woicke: Since January we've begun to bring in what we call Response Time Measurement System (RTMS) records. For example, when a doctor or a nurse is in our electronic medical record (EMR) system is signing an order, I can tell you how long it took to log into the system. I can tell you how long you were in the charting module.

Woicke
All those transactions produce 10 billion timers, per month, across all of our clients. We bring those all into our HP Vertica Data Warehouse. Right now, it’s about a two-hour response time, but my goal, within the next 12 months, is to get it down to 10 minutes.

I can see in real time when trends are happening, either positive or negative, and be able to take action before there is an issue.

Gardner: Tell us more about about Cerner -- what you do in IT.

Woicke: We run the largest EMR in the world. We have well over 400 domains to manage  -- we call them domains -- which allows us to hook up multiple facilities to those domains. Once we have multiple facilities connecting into those domains, at any given time, there are tens of thousands clinicians on the system at one time.

We have two data centers in Kansas City, Missouri and we host more than half for our clients in those data centers. The trend is moving toward being remote-hosted managed like that. We still have a couple of hundred clients that are managing their own Millennium domains. As I said before, we need to make sure that we provide the same quality of service to both those sets of clients.

Single database

Cerner Millennium is a suite of products or solutions. Millennium is a platform where the EMR is placed into a single database. Then, we have about 55 different solutions that go on top of that platform, starting with ambulatory solutions. This year was really neat. We were able to launch our first ambulatory iPad application.

There are about 55 different solutions, and it's growing all the time with surgery and lab that fit into the Cerner Millennium system. So we do have a cohesive set of data all within one database, which makes us unique.

Gardner: Where does the data come from primarily, and how much data we are talking about?

Woicke: We're talking about quite a bit of data, and that’s why we had to transform something away from a traditional OLTP database into an MPP type database, because those systems that are now sending data to Cerner. 

We have claims data, and HL7 messages. We're going to get all our continuous care records from Millenium. We have other EMRs. So that’s pretty much the first time that we're bringing in other EMR records.

You’ll have that claim data that comes in from multiple sources, multiple EMRs, but the whole goal of population health is to get a population to manage their own health. That means that we need to give them the tools in their hands. And they need to be accurate, so that they can make the right decisions in the future. What that's going to do is bring the total cost of your healthcare down, which is really the goal.
What that's going to do is bring the total cost of your healthcare down, which is really the goal.

We have health-plan enrollments, and then of course, within Millennium, we're going to drill down into outcomes, re-admissions, diagnosis, and allergies. That’s the data that we need to be able to predict what kind of care we are going to have in the future.

Gardner: So it seems to me that we talk about "Internet of things." We're also going to the "Internet of people." More information from them about their health comes back and benefits you and benefits the healthcare providers. But ultimately, they can also provide great insights to the patients themselves.

Do you see, in the not too distant future, applications where certain data -- well-protected and governed of course -- is made into services and insights that allow for a better proactive approach to health?

Proactive approach

Woicke: Without a doubt. We're actually endorsing this internally within the company by launching our own weight-loss challenges, where we're taking our medical records and putting them on the web, so that we have access to them from home.

I can go on the site right now and manage my own health. I can track the number of steps I'm doing. Those are the types of tools that we need to launch to the population, so that they endorse that good behavior, which will ultimately change their quality of life.

Right now, we're in production with the operation side that we talked about a little bit about earlier. Then, we are in production with what we call Health Facts, a huge set of blinded data. We hire a team of analysts and scientists to go through this data and look for trends.
You can see what that’s going to do for the speed of the amount of analysis we could do on the same amount of data. It’s game changing.

It’s something we haven’t been able to do until recently, until we got HP Vertica. I am going to give you a good example. We had analysts log a SQL query to do an exploratory type of analysis on the data. They would log that at 5 p.m., then issue it, and hopefully, by the time they came back at 8 a.m. the next day, that query would be done.

In Vertica, we've timed those queries at between two and five seconds. So you can see what that’s going to do for the speed of the amount of analysis we could do on the same amount of data. It’s game changing.

There were a lot of competitors that would have worked out, but we had a set of criteria that we drilled down on. We were trying to make it as scientific as possible and very, very thorough. So we built a score sheet, and each of us from the operation side and Health Facts side graded and weighted each of those categories that we were going to judge during the proof of concept (POC). We ended up doing six POCs.
We got down to two, and it was a hard choice. But with the throughput that we got from Vertica, their performance, and the number of simultaneous users on the system at a given period of time, it was the right choice for us.

Gardner: And because we're talking about healthcare, costs are super important. Was there a return on investment (ROI) or cost benefit involved as well?

Extremely competitive

Woicke: Absolutely. You could imagine that this would be the one or two top categories weighted on our score sheet, but certainly HP Vertica is extremely competitive, compared to some of the others that we looked at.

Gardner: Dan, looking to the future, what do you expect your requirements to be, say, two years from now? Is there a trajectory that you need to take as an organization, and how does that compare to where you see Vertica going?

Woicke: Having Vertica as a partner, we navigate that together. They invited me here to Boston to sit on the user board. It was really neat to sit right there with [HP Vertica General Manager] Colin Mahony at the same table and be able to say, "This is what we need. These are our needs coming around the corner," and have him listen and be able to take action on that. That was pretty impressive.

To answer your question though, it’s more and more data. I was describing the operations side, where we bring in 10 billion RTMS records. There's going to be another 10 billion type of records coming in from other sources, CPU, Memory, Disk I/O, everything can be measured.

We want to bring it into Vertica, because I'm going to be able to do some correlation against something we were talking about. If I know that the RTMS records show a negative performance that's going to happen within the next 10-15 minutes, I can figure out which one of those operational parameters is most affecting that outcome of that performance, and then can send the analyst directly in to mitigate that problem.
By bringing in more and more data and being able to correlate it, we're going to show all the clients, as well as the providers, how their system is doing.

On the EMR side, it’s more data as well. On the operations side, we're going to apply this to other enterprises to bring in more data to connect to the experts. So there is always somebody out there. That’s the expert. What we're going to do is connect the provider with the payers and the patient to complete that triangle in population health. That’s where we're going in the next few months.

Gardner: I certainly think that managing data effectively is a huge component of our healthcare challenge here in the United States, and of course, you're operating in about 19 countries. So this is something that will be a benefit to almost any market where efficiency, productivity, quality of care come to bear.

Woicke: At Cerner Corp., we're really big on transparency. We have a system right now called the Lights On Network, where we are taking these parameters and bringing them into a website. We show everything to the client, how they're performing and how the system is doing. By bringing in more and more data and being able to correlate it, we're going to show all the clients, as well as the providers, how their system is doing.
Listen to the podcast. Find it on iTunes. Read a full transcript or download a copy. Sponsor: HP.

You may also be interested in:

Monday, November 4, 2013

Different paths to cloud and SaaS enablement yield similar major benefits for Press Ganey and Planview

Listen to the podcast. Find it on iTunes. Read a full transcript or download a copy. Sponsor: VMware.

The next VMworld innovator panel discussion focuses on how two companies are using aggressive cloud-computing strategies to deliver applications better to their end users.

We'll hear how healthcare patient-experience improvement provider Press Ganey and project and portfolio management provider Planview are both exploiting cloud efficiencies and agility. Their paths to the efficiency of cloud have been different, but the outcomes speak volumes for how cloud transforms businesses.

To understand how, we sat down with Greg Ericson, Senior Vice President and Chief Innovation Officer at Press Ganey Associates in South Bend, Indiana, and Patrick Tickle, Executive Vice President of Products at Planview Inc. in Austin, Texas.

The discussion, which took place at the recent 2013 VMworld Conference in San Francisco, is moderated by Dana Gardner, Principal Analyst at Interarbor Solutions. [Disclosure: VMware is a sponsor of BriefingsDirect podcasts.]

Here are some excerpts:
Gardner: We heard a lot about cloud computing at VMworld, and you're both going at it a little differently. Greg, tell us a bit about the type of cloud approach you’re taking at Press Ganey.

Ericson: Press Ganey is the leader in a patient-experience analytics. We focus on providing deep insight into the patient experience in healthcare settings. We have more than 10,000 customers within the healthcare environment that look to us and partner with us around patient-experience improvement within the healthcare setting.

Ericson
We started this cloud  journey in July of 2012 and we set out to achieve multiple goals. Number one, we wanted to position Press Ganey's software as solution products of the next generation and have a platform that was able to support them. 

We went through a journey of consolidating multiple data centers. We consolidated 14 different storage arrays in our process and, most importantly, we were able to position our analytic solutions to be able to take on exponentially more data and provide that to our clients.

Gardner: Patrick, how has cloud helped you at Planview? You were, at one time, a fully a non-cloud organization. Tell us about your journey.

Tickle: Planview has been an enterprise software vendor, a classic best-of-breed focused enterprise software vendor, in this project and portfolio and resource management space for over 20 years.

Tickle
We have a big global customer base of on-premise customers that built up over the last 23 years. Obviously, in the world of software these days, there's a fairly seismic big shift about being in software as a service (SaaS) and how you get to the cloud, the business models, and all those kinds of things.

Conventional wisdom is for a lot it was that you can't get there unless you start from scratch. Obviously, because this is the only thing we do, it was pretty imperative that we figure out a way to get there.

So two or three years ago, we started trying to make the transition. There were a lot of things we had to go through, not just from an infrastructure standpoint, but from a business model and delivery standpoint, etc.

The essence was here. We didn’t have time to rewrite a code base in which we've invested 10-plus years and hundreds of thousands of hours of customer experience to be a market-leading product in our space. It could take five years to rewrite it. Compared to where we were 10 years ago, when you and I first met, there are a lot more tools in the bag for people to get to the cloud that there were then.

So we really went after VMware and did the research sweep much more aggressively. We started out with our own kind of infrastructure that we bolted together and moved to a FlexPod in our second generation.

We have vCloud Hybrid Services now, and leveraging our existing code base, and then the whole suite of VMware products and services, we have transformed the company into a cloud provider. Today, 90 percent of all our new Planview customers are SaaS customers. It's been a big transition for us, but the technology from VMware has been right in the center of making it happen.

Business challenges

Gardner: Greg, tell us a little bit about some of the business challenges that are driving your IT requirements that, in turn, make the cloud model attractive. Is this a growth issue? Is this a complexity issue? What are your business imperatives that make your IT requirements?

Ericson: That’s a great question. Press Ganey is a 25-year-old organization. We pioneered the concept of patient experience and the analytics, and insight into the patient experience, within the healthcare setting. We have an organization that's steeped in history, and so there are multiple things that we're looking at.

Number one, we have one of the largest protected health information (PHI) databases in the United States. So we felt that we had to have a very secure and robust solution to provide to our clients, because they trust us with their data.

Number two, with the healthcare reform, the focus on patient experience is somewhat mandatory, whereas before, it was somewhat voluntary. Now, it's regulated or it's part of the healthcare reform. When you look at organizations, some were actually coming to us and saying, "We want to get however many patient surveys out that we need to satisfy our threshold."
Our scientists are also finding a correlation between the patient experience results and clinical and quality outcomes.

Our philosophy is why would you want to do that? We believe that if you can understand and leverage the different media to be able to fill that out, you can survey your entire population of patients that are coming into not only your institution but, in the accountable care organization, the entire ecosystem that you’re serving. That gives you tremendous insight into what's going on with those patients.

Our scientists are also finding a correlation between the patient experience results and clinical and quality outcomes. So, as we can tie those data sets together in those episodic events, we're finding very interesting kinds of new thought, leading thought, out there for our clients to look at.

So for us, going from minimally surveying your population to doing census survey, which is your entire population, represents an exponential growth. The last thing is that, for our future, in terms of going after some of those new analytics, some of the new insight that we want to provide our clients, we want to position the technology to be able to take us there.

We believe that the VMware vCloud Suite represents a completeness of vision. It represents a complete a single pane of glass into managing the enterprise and, longer-term, as we become more sophisticated in identifying our data and as the industry matures, we think that a public cloud, a hybrid cloud, is in the future for us, and we're preparing for that.

Gardner: And this must be a challenge for you, not only in terms of supporting the applications, but also those data sets. You're getting some larger data sets and they could be distributed. So the cloud model suits your data needs over time as well?

Deeper insights

Ericson: Absolutely. It gives us the opportunity to be able to apply technology in the most cost-value proposition for the solutions that we’re serving up for our customers.

Our current environment is around 600 server instances. We have about 300 terabytes (TB) running in 20 SaaS applications, and we're growing exponentially each month, as we continue to provide that deeper insight for our customers.

Gardner: Patrick, for your organization what are some of the business drivers that then translate into IT requirements?

Tickle: From an IT perspective, it changed the culture of the company, moving from being a on-premise perpetual kind of "ship the software and have a customer care organization that focuses on bug and break-fix" to a service-delivery model. There were a lot of things that rippled through that whole thing.
We had to move from an IT culture to an OPs culture and all the things that go along with that, performance and up time.

At the end of the day, we had to move from an IT culture to an operations culture and all the things that go along with that, performance and up-time. Our customer base is global. So it was being able to provide that around the globe is. All those things were pretty significant shifts from an IT perspective.

We went from a company that had a corporate IT group to a company that has a hosting and DevOps and Ops team that has a little bit of spend in corporate IT.

Out of the gate, the first step at Planview was moving to colo. SunGard has been a great partner for us over the last couple of years as our ping, power, and pipe. Then, in our first generation, we bolted together some of our storage and computer infrastructure because it wasn’t quite all the way there. Then, in our most recent incarnation of the infrastructure we’re using FlexPods at SunGard in Austin, Texas and London.
OPEX spend

We're always having to evaluate future footprints. But ultimately, like many companies, we would like to convert that infrastructure investment from a capital spend into an OPEX spend. And that’s what’s compelling with vCloud Hybrid Service.

What we've been excited about hearing from VMware is not just providing the performance and the scalability, but the compatibility and the economic model that says we’re building this for people who want to just move virtual machines (VMs). We understand how big the opportunity is, and that’s going to open up more of a public cloud opportunity for us to evaluate for a wide variety of use cases going forward.

Gardner: How big a deal is it when we can, with just a click of a mouse, move workloads to any support environment we want?

Tickle: It's a huge deal. Whether it’s a production environment or disaster recovery (DR) environment, at the end of the day it's a big deal for both of us. For a SaaS company the only matter is renewals. It’s happy customers that renew. That transition from perpetual-plus maintenance to a renewal model, where you're on the customer service watch at another level, and it's every minute of every day.

Everything that we can do to make the customer experience, not just from our UI and our software, but obviously the delivery of the service, as compelling as possible, allows us to run our business. That can be a disaster scenario or just great performance across our geography where we have customers and then to do that in a cost effective way that operates inside our business model, our profit and loss.

So our shareholders are equally pleased with their turn off. We can't afford to have half of the company’s OPEX go into IT, while we’re trying to make customers as successful as they possibly can. We continue to be encouraged that we’re on a great path with the stack that we're seeing to get there.

Gardner: I think it's fair to say that cloud is not just repaving old cow paths, that cloud is really transforming your entire business. Do you agree, Greg?

Rejuvenate legacy

Ericson: I agree. It allows us, especially an organization that’s 25 years steeped in history, to be able to rejuvenate our legacy applications and be able to deliver those with maximum speed, maximizing our resources, and delivering them in a secure environment. But it also allows us to be able to grow, to flex, and to be able to rejuvenate and organically transform the organization. It's pretty exciting for us and it adds a lot of value to our clients indirectly.

Gardner: Greg,what are some of the more measurable pay-offs when you go to cloud? Are these soft payoffs of productivity and automation or are there hard numbers about return on investment (ROI) or moving more to a operation cost versus capital cost? What do you get when you do cloud right?

Ericson: We justify the investment based on consolidation of our data centers, consolidation and retirement of our storage arrays, and so on. That’s from a hard-savings perspective. From a soft-savings perspective, clearly in an environment that was not virtualized, virtualizing the environment represented a significant cost avoidance.
Our focus is on a complete solution that allows us to really focus in on what's important for us, what's important for our clients.

Longer-term, we're looking at how to position the organization with a robust, virtual secured infrastructure that runs with a minimum amount of technical resources, so that we can focus most of our efforts on delivering innovative applications to our clients.

The biggest opportunity for us is to focus there. As you look at the size of the data set and the growth of those data sets, positioning infrastructure to be able to stay with you is exciting for us and it’s a value proposition for our clients.

Entire environment

With a minimum amount of staff, we were able to move in nine months and virtualize our entire environment. When you talk about 600 servers and 300 TB of data, that's a pretty sizable enterprise and we're fully leveraging the vCloud Suite.

Our network is virtualized, our storage is virtualized, and our servers are virtualized. The release of vCloud Suite 5.5 and some of the additional network functionality and storage functionality that’s coming out with that is rather exciting. I think it's going to continue to add more value to our proposition.

Gardner: Some people say that a single point of management, when you have that comprehensive suite approach, comes in pretty handy, too.

Ericson: It does, because it gives you the capability of managing through a single pane of glass across your environments. I was going to accentuate that we’re about 50 percent complete in building on our catalog.

For our next steps, number one is that we’re looking at building upon the excellence of Press Ganey and building our next-generation enterprise data warehouse. We’re looking at leveraging from a DevOps perspective the VMware vCloud Suite, and we already have some pilots that are up and running. We'll continue to build that out.
Not only are we maximizing our assets in delivering a secure environment for our clients, but we're also really working toward what I call engineering to zero.

As we deploy, not only are we maximizing our assets in delivering a secure environment for our clients, but we're also really working toward what I call engineering to zero. We’re completely automating and virtualizing those deployments and we're able to move those deployments, as we go from dev to test, and test to user acceptance testing, and then into a production environment.

Tickle: As we all know, there are lot of hypervisors out there. We can all get that technology from a wide variety of sources. But to your question about the value with the stack, that’s what's we look at and again. What's important now is not just the product stack, but the services stack.

We look at a company like VMware and say, "Site Recovery Manager in conjunction with vCloud Hybrid Services brings a DR solution to me as SaaS vendor and that fits with my architecture and brings that service stack plus."

There's no comparing another hypervisor vendor to build out that stack of service. Again, we could probably talk about probably numerous, but that’s when I listen to the things that go on at the event and get to spend time with the people at VMware. That whole value stack that VMware is investing in is what looks so much more compelling than just picking pieces of technology.

Gardner: Looking to the future, Greg, based on what you've heard at VMworld about the general availability of vCloud Hybrid Services and the upgrade to the suite of private cloud support, what has you most excited? Was there something that surprised you? What is in the future road map for you?

A step further

Ericson: A couple of different things. The next release of NSX is exciting for us. It allows us to be able to take the virtualization of our network a step further. Also to be able to connect hypervisors into a hybrid-cloud situation is something that, as we evolve our maturity in terms of managing our data, is going to be exciting for us.
One of the areas that we're still teasing out and want to explore is how to tie in that accelerator for a big-data application into that. Probably, in 2014, what we're looking at is how to take this environment and really move from a DR kind of environment to a high-availability environment. I believe that we’re architected for that and because of the virtualization we can do that with a minimum amount of investment.
Listen to the podcast. Find it on iTunes. Read a full transcript or download a copy. Sponsor: VMware.

You may also be interested in: