You are currently browsing the tag archive for the ‘IBM’ tag.

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.

VR Logo Bug Square BufferYet few business users are tapping the full potential of today’s systems. Most organizations have been slow to integrate IT innovation into their core processes. Companies have made considerable investments in information technology, but their business methods have been slow to adapt to the resources available. For instance, software for incentive compensation software and for planning and budgeting has made it possible to improve these processes, but most companies manage compensation, budget and plan in much the same way they did decades ago. To be sure, it’s much easier for individuals to adopt new tools for themselves than it is to align groups and executives in corporations to change proven approaches – even mediocre ones. But it’s also the case that business software must make it easier for individuals to realize more of the potential of information technology. And this part of the evolution of business software is only beginning. This is the context in which I took note of two emerging capabilities of IBM’s business software. One is its Concert user experience software and the other its emerging application (not yet officially named) designed to make advanced analytics more consumable. These are two important capabilities IBM highlighted at its recent Insight user group meeting and Big Data and Analytics analyst summit.

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.

vr_NG_Finance_Analytics_14_innovative_companies_adapt_betterThe challenge for many companies is that big data and advanced analytics are not readily consumable. Our research on finance analytics finds that fewer than one-third (29%) of companies use big data to support their finance analytics, even though this technology can handle the flood of data into today’s businesses and can help produce more useful analytics and advanced techniques. Although analytics is essential to finance departments, their focus remains on the basics. Fewer than half (44% each) use the proven newer techniques of predictive analytics and leading indicators. Nearly three out of four (73%) do not assess relevant economic or market data and trends, and fewer than half assess customer and product profitability; any of these could make analyses more relevant to the overall success of the company. The ability of finance organizations to master analytical techniques – especially advanced ones – ought to be a priority for senior executives because our research shows a correlation between competence in utilizing big data and analytics and the ability to adapt quickly to changing business and economic conditions.

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

The proliferation of chief “something” officer (CxO) titles over the past decades recognizes that there’s value in having a single individual focused on a specific critical problem. A CxO position can be strategic or it can be the ultimate middle management role, with far more responsibilities than authority. Many of those handed such a title find that it’s the latter. This may be because the organization that created the title is unwilling to invest the necessary powers and portfolio of responsibilities to make it strategic – a case of institutional inertia. Or it may be that the individual given the CxO title doesn’t have the skills or temperament to be a “chief” in a strategic sense.

In business, becoming a chief anything means leaving behind most of the hands-on specific skills that made one successful enough to receive the promotion. This is often the hardest requirement, especially for those coming from an administrative or a highly technical part of a business. Take the chief financial officer position. The person who gets that job often was a controller – an individual who must be able to manage the minutiae of a finance organization. Most of the detailed skills required of a great controller are counterproductive for a CFO, who must focus on the big picture, work well with all parts of the business and be the face of the company to bankers and investors. People who can’t leave the details behind are by definition not strategic CFO material. Similarly, the job of the chief information officer ultimately is not about coding, technical knowledge or project management. It’s about understanding and communicating how the most important issues facing the business can be addressed with technology, ensuring that the IT organization understands the needs of the business and delivering value for the money spent on IT.

The same distinction applies to newer C-level titles. For example, since the financial crisis a few years ago, there has been a growing recognition that banks must manage risk more comprehensively. In response, a number of banks have created the position of chief risk officer or, if they already had one, have invested a broader range of responsibilities in that office. Managing risk strategically has gained importance in financial markets as rising capital requirements and increased regulation force banks to structure their asset portfolios and manage their assets more carefully to maximize their return on equity (ROE). In most banks, optimizing risk – getting the highest return at any given level of risk – and managing risk more dynamically over a credit cycle requires a strategic CRO to lead the effort. Even so, in many organizations the office of the CRO doesn’t have the weight it needs to make such a difference. Here are the most important requirements for chief risk officers who want to transform a middle management job into something more strategic.

Approach risk management as if it were a four-dimensional chessboard. Having the proverbial “seat at the table” (a hackneyed business phrase that’s shorthand for being taken seriously by the senior leadership group) means being able to bring something of value to the table. While an appreciation of the overall business and its strategy is necessary as one rises through the ranks, a purely functional position usually doesn’t require an especially deep understanding of the other parts of the business. For a chief risk officer to play more than a titular role, however, he or she must have a solid understanding of all the major operating pieces of the business on both sides of the balance sheet and a knowledge of the industry’s competitive dynamics – three dimensions of the chessboard. This is particularly important because risk is just a constraint, not the sole consideration in decision-making. That is, the role of the CRO is not simply to enforce constraints that minimize risk – it’s about optimizing risk within the context of the corporate strategy. Stiffer capital requirements are a defining characteristic of today’s banking industry, especially in the United States. Optimizing risk is a necessary condition for optimizing return on equity and the long-term success of the bank. Moreover, the role requires thinking ahead several steps and understanding the dynamics of the business – that’s the fourth dimension. A solid grasp of credit and financial market cycles is essential in leading a risk organization. The ability to use past experience to forecast the consequences of even disparate sets of actions makes the risk organization strategic.

Learn another language. Understanding of other parts of the business goes a long way toward being able to work more effectively, and a CRO should be to translate risk jargon into words and concepts that are relevant to specific parts of the business. It works both ways, too. Understanding the objectives, objections and concerns of other executives means being able to grasp the nuances of their questions and comments. It also helps in explaining the thinking behind the trade-offs necessary to optimize a balance sheet to achieve an optimal ROE for the level and structure of the risk. It’s also essential to be able to communicate the essence of risk management to laymen, for example, by distilling the complexities of a black-box risk strategy into an elevator pitch. All risk models are translatable into easy-to-comprehend concepts. A CRO must be able to do this and even develop an institutional shorthand within the organization that everyone understands – the functional equivalent of describing a feature film as “a car-chase buddy movie.”

Assert leadership when it’s needed. Some leaders are born, but everyone else needs to unlearn habits that detract from their effectiveness as a leader. People in risk or compliance roles may have a harder time than others because the basic skills necessary to excel in this area tend to be found in less introspective souls. Those who work in a compliance function can fall into the trap of using “the rules” as a cudgel for wielding power rather than persuading and gaining assent. Joining the senior leadership team, though, transforms the CRO from a simple enforcer to one who works with others to find solutions.

Beyond these three personal and interpersonal requirements, appropriate use of information technology – data and software – is essential to strategic risk management in banks (and other financial services companies). Successfully exploiting the advantages that can be had with advanced IT is fundamental requirement of making the role of a CRO strategic. SuccessfulCROs must weigh the make-or-break information technology issues of mastering data quality and using the right software tools.

Data is the lifeblood of risk management. The credibility of the risk organization is based on accuracy and availability of data. Bad data drives bad decisions and undermines the authority of the risk organization. As data sets proliferate, grow larger and increasingly incorporate external data feeds (not just market data but news and other unstructured data), the challenge increases. The proverbial garbage-in-garbage-out (GIGO) becomes Big GIGO, as I have written. vr_infomgt_06_data_fragmentation_is_an_issueData quality must be built into all of the systems. Speed in handling data is essential. The pace of transactions in the financial markets and the banking industry continues to increase, and their risk systems must keep up. Our benchmark research shows that financial services has to deal with more sources of data than other industry sectors.

Yet beyond these maxims is the reality that all large financial institutions fall short in their ability to handle data. “You can have your answers fast or you can have them accurate,” is often said in jest, but it reflects the business reality that analyses often are not black-and-white – utterly reliable or completely false. They may have to be based on information that to varying degrees is incomplete, ambiguous, dated or some combination of these three. Adapting to this reality, new tools utilizing advanced analytical techniques can qualify the reliability of a bit of analysis. It’s better to get some assessment and see that it’s 33 percent reliable than to get no answer or – worse – get an answer without qualification. In most cases, it’s better to get an approximate answer now than to wait for an ironclad answer in a day or two. The decision-makers have an idea of the risk they’re taking if they act on the result, or they can take a different approach to look for a way to get an answer that is more reliable.

Software is essential to risk management and optimization. Technology can buy accuracy, speed, visibility and safety. Many banks ought to do more dynamic risk management. Analytical applications using in-memory processing can substantially reduce the time it takes to run even complex models that utilize very large data sets. This not only improves the productivity of risk analysts but it makes scenario analysis and contingency planning more accessible to those outside the risk organization. If you can run a complex, detailed model and immediately get an interactive report (one that enables you to drill back and drill around), you can have a business conversation about its implications and what to do next. If you have to wait hours or days as you might using a spreadsheet, you can’t.

Desktop spreadsheets have their uses, but in risk management the road to hell begins in cell A1. Spreadsheets are the right tool for prototyping and exploratory analysis. They are a poor choice for ongoing risk management modeling and analytics. They are error-prone, lack necessary controls and have limited dimensionality. The dangers of using spreadsheets in managing risk exposure were laid bare by the internal investigation conducted by JP Morgan, which I commented on at the time. There are many alternatives to desktop spreadsheets that are affordable and require limited training. For example, many financial applications for planning and analysis have Excel as their user interface. There are more formal tools, such as a multidimensional spreadsheet, that are relatively easy for risk modelers to use and offer superior performance and control compared to desktop spreadsheets.

Automate and centralize. Information technology delivers speed, efficiency and accuracy when manual tasks are automated. The payoff from automating routine reporting and analytics may seem trivial, but this is usually because people – especially managers – underestimate the amount of time spent as well as the routine errors that creep into manual tasks (especially if they are performed in a desktop spreadsheet). The need for automation and centralization especially applies to regulatory and legal activities, such as affirmations, attestations, signoffs and any other form of documentation. Especially in highly regulated industries such as financial services, there is no strategic value in meeting legal requirements, but there is some in doing so as efficiently as possible and limiting the potential for oversights and errors. Keeping all such documentation in a central repository and eliminating the use of email systems as a transport mechanism and repository for compliance documentation saves time of highly compensated individuals when inevitable audits and investigations occur and limits the possibility that documents cannot be found when needed.

Senior executive sponsorship is also a critical need if the chief risk officer is to be a strategic player. If the CRO has done all of the above, that’s not going to be a problem because the CRO’s objectives and the CEO’s objectives will be largely aligned. True, that’s not always a given. Some organizations will not embrace the notion that managing risk can be strategic. CROs who find themselves in an organization where their aspirations to serve a strategic role are not met should find another one that appreciates the value they can bring to the table.

Regards,

Robert Kugel – SVP Research

Twitter Updates

Stats

  • 82,226 hits
Follow

Get every new post delivered to your Inbox.

Join 71 other followers

%d bloggers like this: