You are currently browsing the monthly archive for December 2011.

Rather than make predictions for 2012, which are everywhere right now, I want to look back at some of the surprising events of 2011. I think it’s worth considering what happened that wasn’t expected and what these things might tell us about the information technology market. Here, in no particular order, are the most important ones I see.

The Arab Spring

Although the Arab Spring movement began at the very end of last year, it’s fair to say that its main impact occurred this year. Social media played a significant role in these protests as a way of not only organizing protestors but also globally communicating instantly what was happening. Early this year Ventana Research had identified social media as one of five key technologies causing a revolution of a different kind within the business intelligence and information management communities, but the speed of adoption and reach of social media have exceeded most expectations. Social media also is part of a trend toward consumerization of IT in which adoption of certain types of technology originate with consumers and then work their way into enterprise IT infrastructures.

Enterprises are still grappling with the implications of both of these issues. We are beginning to see effective use of social media as a vehicle for collaboration within business intelligence processes. You could say the genie is out of the bottle with respect to social media, but we still have a long way to go in making it a part of most enterprise IT infrastructures.

RIM Stumbles in Mobile Technology

The mobile market, in a state of upheaval, continues to evolve rapidly. BlackBerry devices brought mobile technology and enterprise IT together several years ago, but their manufacturer, RIM, stumbled this year. First Apple with its iOS devices and then devices powered by Google’s Android operating system have become the market leaders. These changes were driven by an unusual force in enterprise IT: consumer purchasing behavior. The influx of these devices into office environments forces enterprise IT organizations to grapple with BYOD (bring your own device) issues. Apple iPad sales skyrocketed, attracting other tablet manufacturers and fueling demand for BYOD support. But other tablet manufacturers, including RIM, struggled to produce a device that could capture enough hearts, minds and wallets of either consumers or enterprises. We saw the demise of one device, HP’sTouchPad, and heard rumors of the RIM PlayBook’sdemise. The mobile and social media markets helped blur the lines between consumer and enterprise technologies and in the process established a real focus on the consumer. This focus should benefit end users as it drives up the importance of ease of use.

An Elephant in the Room

Although it was clear if you looked in the right places, the rise in importance of big data caught many by surprise. While big data and Hadoop are not necessarily synonymous, our benchmark research shows that Hadoop has enabled organizations to do things with big data that they couldn’t do with other technologies. Analyzing more data at a greater level of detail and employing advanced analytics has enabled two-thirds of the organizations using Hadoop to create new products or services.

The Hadoop market has attracted a bevy of competition. Yahoo spun out its Hadoop team as a separate entity called Hortonworks. MapR entered the market with its own distribution of Hadoop that is part of EMC Greenplum’s big data offerings. Even Oracle announced its intention to distribute Hadoop as part of a big-data appliance offering. Other NoSQL solutions for big data such as Cassandra, Couchbase and MongoDB have enjoyed success as well; it now seems clear that big data will be a fixture on the enterprise IT landscape for the foreseeable future.

A Bookstore Outage Affects Millions

A few years ago who would have thought a bookseller’s website outage would affect millions of people? OK, Amazon is much more than a book-seller today, and its Amazon Web Services (AWS) has become the leading public cloud service provider. Many Internet-based businesses rely on AWS as part of the backbone for their IT infrastructures. Some of these are popular social media sites such as Four Square, HootSuite, Quora and Zynga. In fact, in Zynga’s SEC filing for its initial public offering, it cited as a risk that “a significant portion of our game traffic is hosted by Amazon Web Services.” AWS experienced two major outages this year, one of which lasted four days.

Two lessons should be drawn from this experience. First, the cloud has become a major source of IT infrastructure. Our Business Data in the Cloud benchmark research shows significant penetration of cloud-based applications into enterprises. Across eight different line of business functions, at least 40% of participants either already use cloud-based services or expect to be using them within a year. Second, if you rely on a cloud service provider for any mission-critical functions, you need to understand the vendor’s service level agreements and make sure you and they have contingency plans in place to deal with outages. You wouldn’t want to be out of business for several days as was the case with the AWS outage earlier this year.

A Machine Wins on Jeopardy

Earlier this year, IBM Watson competed against two Jeopardy champions and won a nationally televised contest. This event was the culmination of many years of effort on the part of IBM Research Labs, but it’s potentially just the beginning in a series of offerings from IBM and probably others that combine big data and predictive analytics. It was a brilliant marketing move as well as a significant technical accomplishment. Through its involvement in Jeopardy, IBM gave these two relatively “geeky” subjects an audience with the mass market, paving the way for expectation of similar capabilities in a variety of applications, some of which may even be consumer-facing. Without an explanation of the inner workings of big-data processing or predictive analytics algorithms, millions of people now know they can deliver impressive results.

By the way, we’re analyzing and writing our benchmark research on how organizations are adopting predictive analytics. We’ll share those results soon, but there are many signs in addition to Watson’s Jeopardy appearance that predictive analytics are onthe rise. If you’re not using predictive analytics, don’t be intimidated by Watson. It has become much more accessible with cloud-based and service-based offerings as well as improved software products that can make the capabilities much easier to use.

We have been and will continue to be researching these topics throughout the coming year. We’ll let you know what surprises we find and what they mean for your organization.


David Menninger – VP & Research Director

Collaborative and mobile technologies continue to influence business intelligence (BI) software products. The recent release of Yellowfin 6 embraces these innovations in a visually appealing, end-user-oriented BI product. Yellowfin is an independent BI software vendor based in Australia that was recently recognized, along with its customer Macquarie University, as a Ventana Leadership Award winner for the use of location–based aspects of its technology for effective planning and student acquisition initiatives.

As I’ve written previously in “The Consumerization of Collaborative BI Has Arrived,” we have begun to see more collaborative capabilities incorporated into BI applications and process. Our firm will soon launch a benchmark research program on this topic to develop understanding of how collaborative and mobile capabilities can enhance an organization’s BI activities.

Yellowfin 6 has a well-integrated set of collaborative and mobile capabilities designed to enhance BI processes. This release incorporates an inbox and activity stream, which enable users to comment on and subscribe to relevant analyses. As consumers move from email-based to collaboration-based communications that use social networking tools, we expect to see the same shift in enterprise communications. Yellowfin incorporates these concepts in its proprietary collaboration technology; I would like to see the company support commercial tools as well, because that would broaden the dissemination of the information. Users can subscribe to analyses based on a time interval, such as every day or week, or based on values crossing a certain threshold. For example, users can have the software send a report if the average hold time in the customer support center exceeds 60 seconds.

Release 6 provides dashboard syndication so that entire dashboards can be embedded in other Web pages. For example, an intranet or wiki page can display a Yellowfin dashboard of relevant information if you copy and embed in it a code snippet, in much the same way you can embed a Google calendar in a Web page. Since Yellowfin’s architecture is entirely Web-based, users have full access to all dashboard functionality, not just to a limited subset.

The new drill-down capabilities in this release will be important to existing Yellowfin users, but these capabilities are common in other BI tools. The company has put some effort into exposing drill-down capabilities in a way that end users will understand. As the designer of a dashboard, you can decide what types of drill paths will be exposed, including a new “drill anywhere” option that lets users pick from a pop-up menu of relevant options. Other elements of the interface have been enhanced, and present a clean and userfriendly experience. In particular, I like the series selection tiles used to display and pick dimension values. They include a sparkline, a value and a trend indicator that provides a lot of useful information in a compact representation. Report previews, another nice feature in this release, show a thumbnail of each report along with its description when a user needs to select one report from a list.

This release also includes native iPad application support. You can try it for yourself here. Not all Yellowfin 6 features are supported in the version currently downloadable, but the company says it will make a new version available early next year that supports the drill-anywhere features, which will greatly aid navigation on the iPad version. Yellowfin also expects to provide a native Android version. In the meantime, the browser-based version of the product runs on mobile platforms.

Though it offers many enhanced features, Yellowfin still has some gaps in product functionality compared to other BI products. For example, Yellowfin does not support planning and whatif analysis. Nor does it support brushing, which would enable users to select a subset of data in one part of the dashboard and see the relevant selection reflected as a subset of the other portions of the dashboard.

Despite these limitations, I expect we’ll see more of Yellowfin. It has amassed 500 customers and more than 100 OEMs and resellers. If you are looking for a user-friendly tool with collaborative and mobile capabilities that I refer to as the next generation of BI software, take a look at Yellowfin.


David Menninger – VP & Research Director

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