The developed world has an embarrassment of riches when it comes to information technology. Individuals walk around with far more computing power and data storage in their pockets than was required to send men to the moon. People routinely hold on their laps what would have been considered a supercomputer a generation ago. There is a wealth of information available on the Web. And the costs of these information assets are a tiny fraction of what they were decades ago. Consumer products have been at the forefront in utilizing information technology capabilities. The list of innovations is staggering. The “smart” phone is positively brilliant. Games are now a far bigger business than motion pictures.
Integrating processes and data across a business has long been a challenge for IT departments. Some decades ago the issue of “islands of automation” emerged as companies implemented stand-alone business applications one by one to perform some function but then realized that it would be handy if these could share data and manage processes from start to finish. Initial progress toward this goal was made in the form of applications such as ERP that offer integrated functionality and enterprise data stores, although these often were difficult to implement and complex to maintain. Lately, software vendors have been refocusing to provide users with ways of facilitating end-to-end process management and making data more accessible.
IBM Concert is such an attempt. Announced in November 2013, it is a user interface IBM designed to be the central touch point across multiple applications and data stores. (It’s possible to link Concert to other vendors’ software, but it’s unlikely that a company would buy it on its own to link other applications.) It’s meant to replace menu-driven interactions between the user and the system with “I want to do this process” and a “day in the life” approach to organizing how individuals access applications and data. IBM Concert is an example of how we are only now beginning to achieve the longstanding objective of having IT systems conform to the user’s needs rather than the opposite. On a single screen Concert organizes personal task lists and presents metrics, conditions and dashboard elements configured to an individual’s preferences so the user can easily monitor conditions and enable more management by exception. Users can organize the data they need to support a given process right in front of them rather than having to go to some other application to fetch that data.
IBM Concert also has a social component that provides the ability for users to collaborate in context. Social applications generally have improved organizations’ connectedness. They offer greater immediacy than “copy all” email, greater inclusiveness than chat software and better communication in a mobile and geographically dispersed workforce. Initially, social applications took a broadcast approach similar to an unfiltered Twitter feed but as I pointed out at the time, that wasn’t a useful approach. As anyone who has used Twitter during an event can attest, the volume of messages quickly exceeds one’s ability to pick out the important ones. Moreover, not everyone wants to share information broadly, especially, for example, finance departments. Concert by contrast “understands” the area in which the individual is working and connects him or her to the conversations of others who are part of the group that needs to collaborate on that specific task. Users also apply hashtags to add a specific context to the message.
I think that Concert has the potential to become the nexus of business people’s computing environments and a sidekick that helps them stay organized and informed, get alerts, collaborate, find answers and explore their workday world.
Both at Vision and again at the Big Data and Analytics analyst summit, IBM previewed Project Catalyst Insight which is a not-yet-named application that is a significant advancement from its SPSS Analytic Catalyst software. Making big data and analytics more useful and consumable by the white-collar workforce (and even some of the blue collars) would be provide a major boost to organizational performance. By itself, a mass of data is not especially useful, and there are significant challenges to teasing out insights from large data sets, especially when that requires sophisticated analytical techniques. Another as-yet-unnamed application from IBM is designed to make big data and analytics more consumable and more useful. Typically large volumes of data are now accessible mainly to those with Ph.D.s in statistics or otherwise highly trained. The main objective of this project is to package advanced analytics routines for use, after limited training, by ordinary business analysts working in any department in any industry.
Big data has always been with us; it is just a question how much “big” is. Today the term refers to data sets so large and complex that organizations have difficulty processing them using standard database management systems and applications. Technology for handling big data has crossed a threshold, becoming more capable and cost-effective. Companies can now to tap into much larger amounts of structured and unstructured data. Big data has potential – and potential pitfalls – for improving a company’s performance, as I have noted. Big data is of little use unless organizations have the ability to use analytics to achieve insights not available through more conventional techniques. The ability to sift through large quantities of business-related data rapidly could set in motion fundamental changes in how executives and managers run their business. Properly deployed, big data can support a more forward-looking and agile management style even in very large enterprises. It will allow more flexible forms of business organization. It can give finance organizations greater scope to play a more strategic role in corporate management by changing the focus of business reviews from backward-looking assessments of what just happened to emphasis on what to do next.
IBM SPSS Analytic Catalyst Insight is designed to make it easier for business users who are not trained statisticians to create predictive analytical models just by answering a few preliminary questions about what they want to accomplish using the data. The new incarnation with IBM Project Catalyst Insight aims to simplify the process even further to bring it into the reach of a wider set of business users. It does so by packaging a range of standard routines that would be applied to data sets and providing even more guidance to analysts and even some business managers that know what they want to know but have a limited grasp of the analytical techniques necessary to find meaning in a mass of data. If IBM can create an application that enables more business users to utilize predictive analytics and other advanced analytical techniques, it would represent a big step forward in making big data a useful tool for many more functional areas than it is today.
Both IBM Concert and the new business analytics tool called Project Catalyst Insight “to be officially named later” reflect IBM’s strategy of achieving product differentiation in a rapidly evolving software market. The first decades of packaged business applications were characterized by a race to create new categories and load them with distinguishing features and functions. In the next decade competitive advantage will fall to software vendors that – in addition to features and functions – can provide business people with a user experience that is easily molded to how they naturally work. IBM Concert is a useful first step that is likely to be further refined. The new analytical environment derived from IBM SPSS Modeler and SPSS Analytic Catalyst Insight looks and sounds like a good idea, and it will be interesting to see how it develops when it is generally available.
Regards,
Robert Kugel – SVP Research