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For the past couple of years I’ve been pointing to the importance of in-memory computing to the future of business applications. It’s an integral part of Ventana Research’s business and finance research agenda for 2013, and it’s one of the core technologies that senior executives should have an appreciation for because it can transform all core business processes, especially those that are analytic in nature.

SAP just announced that it’s SAP Business Suite can now run on its HANA in-memory computing platform. HANA became generally available as a standalone database in mid-2011, and SAP states that it has almost a thousand customers. I have already written about how SAP has taken HANA into finance with new applications that use this technology. In-memory databases and processing use main memory rather than hard drives for data storage, which enables much faster response times. Online transaction processing systems such as Business Suite collect data about accounting entries, sales calls and inventory movements. With disk-based systems, the data created by these transactions winds up in multiple tables and databases. Getting information from these data stores often involves a delay because of the physical process of reading and writing disk-based storage and (especially in larger companies) because of the need to process data in batches. By keeping all of the data in its main, solid-state memory and applying massively parallel processing techniques, HANA can execute queries and perform analyses far faster than disk-based systems; SAP says it can be 10 to 1,000 times faster.

In-memory computing can make the analytical applications associated with Business Suite much more interactive in working with very large data sets, which in turn enables analysts in every part of the business to work faster and smarter. ERP systems in the 1990s evolved from earlier ones created to help manufacturers and other businesses that deal in physical goods to optimally manage their inventories. With disk-based databases, inventory-related calculations can take hours to complete, especially in larger companies. This may not be an issue when things are running smoothly, but it can be problematic if, say, there is a supply chain disruption. With an in-memory system it’s possible to quickly perform analyses of such an incident’s impact on future deliveries, work through alternative allocations based on customer value and calculate the financial impact of each option. Every business can benefit from in-memory computing because, for example, it can transform a monthly budget review into a more collaborative, interactive and forward-looking activity. Instead of focusing mainly on past events, organizations can make changes to forecasts, examine the impact of alternative future actions and immediately see how the changes affect revenues, expenses, cash flow and the balance sheet. Most companies don’t do that already because with systems that use disk storage, it can take minutes, hours, days or even weeks to get answers back from even a straightforward business question.

Companies can deploy HANA on premises or use SAP’s cloud platform as my colleague has already assessed. As with other platform-as-a-service offerings, the latter approach is designed to give organizations the ability to create and deploy scalable applications at a lower cost, and readily support mobile devices.

The press conference held to showcase the announcement highlighted John Deere as an early adopter. That company is considering how it can use SAP Business Suite on HANA to provide users of its farm equipment with a broader set of information-based services. The raw material for such services is the sensor-generated data that these machines routinely collect about engine performance, soil conditions and the weather, to name just three. This is a proven business strategy. Jet engines are routinely monitored in flight to detect patterns and anomalies that require attention when the plane lands. This is possible because of the relatively small number of aero engines in operation at any time, and cost-effective because of the heavy expense associated with aircraft downtime. As the cost of tracking and analyzing sensor-generated data drops and information is available in real time, it becomes increasingly feasible for machinery and device manufacturers to offer monitoring and data services to customers to generate revenue, promote customer loyalty and enhance customer satisfaction.

While highlighting all of the advantages of HANA as the computing platform for Business Suite, SAP was quick to emphasize that customers are free to keep whatever SQL database they currently use, and detailed the ways in which it is attempting to keep the choice of database a non-issue from a technical standpoint.

Applications that use in-memory storage and processing are not new, but the scope and scale of Business Suite and its centrality to running any business make this a noteworthy step in business computing. SAP is offering services that will enable customers to accelerate adoption of HANA. It will offer a rapid-deployment solution designed to enable customers to go live in less than six months, and that includes a full set of preconfigured software, implementation services, training and content for a fixed price.

For the moment, SAP is ahead of its rivals, but it is unlikely to enjoy this lead for long; other vendors have plans to offer in-memory applications. Despite the manifold benefits of in-memory systems, I don’t see these systems generating meaningful incremental demand over the next two years, as companies are risk-averse and will want to evaluate the experience of early adopters. Thereafter, I expect a renaissance in business software driven by in-memory and other technologies as well as a generational shift in the expectations and demands of software users.

Regards,

Robert Kugel – SVP Research

Businesses always see a lag between when technology makes some advance possible and when a majority of companies actually adopt it. There’s even a longer lag between the emergence of an advance in a business process or technique and the time it takes to become mainstream. When we write our research agendas at the top of each year, we have to strike a balance between focusing on the new and different, which is still many years away from general acceptance, and the mainstream, which has been anticipated for so long that it almost seems passé. Our research agenda for office of finance to support business for 2013, which I just finalized, is once again an attempt to balance the leading edge and the mainstream with an eye to practical solutions.

I expect the pace of change in business computing will accelerate over the next several years, reflecting the cumulative impact of a decade’s worth of technology evolution and, increasingly, the demographic shift from executives and managers from the baby boom generation to those who grew up with computer technology. These demographic shifts will drive demand for a new generation of software, one that emphasizes mobility and agility.

Our research focus for office of finance in 2013 will cover three main areas.

First, we’ll look at the application of financial performance management (FPM) to achieve consistently better results. Ventana Research defines FPM as the process of addressing the often overlapping issues that affect how well finance organizations support the activities and strategic objectives of their companies and manage their own operations. FPM deals with the full cycle of the finance department’s functions, including corporate and strategic finance, planning, forecasting, analysis, closing and reporting. It involves a combination of people, processes, information and technology. We see information technology as a particular focus of FPM because we find that most finance organizations are not using IT assets as fully as they could. In particular, too often they focus only on efficiency and neglect opportunities to use IT to enhance their effectiveness, which can make a difference in their overall results.

Several technologies will be particularly important in transforming the finance function during this decade. Consider in-memory computing. Because of its ability to rapidly process computation of even complex models with large data sets, in-memory computing can change the nature of planning, budgeting, forecasting and reviews. It enables organizations to run more simulations to understand trade-offs and the consequences of specific events, as well as change the focus of reviews from what-just-happened to what-do-we-do-next. In-memory computing may also drive more companies to trade in their desktop spreadsheets for dedicated planning applications. Our recent planning benchmark research revealed that a majority of midsize and larger companies continue to use spreadsheets for planning, forecasting and budgeting – and these companies continue to suffer the consequences, such as an inability to do effective contingency planning or drill down into underlying data to have true visibility into root causes of opportunities or issues.

Predictive analytics is another technique that companies can utilize to achieve better results. Although it can be used to create more accurate or nuanced projections of future outcomes, predictive analytics is especially useful in quickly finding divergences from expectations to create more timely alerts. Rather than having to wait until the end of a month to look at actual results and then initiate a course of action, early in the month a corporation could spot and therefore be able to address a probable revenue shortfall in a specific product line, or change production rates or shipments to avoid a likely regional stock-out caused by stronger than expected demand. Technology for human capital management (HCM) is evolving to address the far more complex employment environment that exists today and the persistent need to manage people resources more effectively without unduly burdening managers.

A second area where technology will play an expanding role in business computing is in guiding operations. Software that helps manage pricing and profitability has been used in hospitality, transportation, retailing and consumer financial services for years. Adoption in other areas – especially in business-to-business industries – will increase through the rest of the decade. Used properly, this type of software enables a company to tailor its control of individual decisions regarding pricing, discounts and other terms to achieve results that are best suited to its strategy. In some businesses, pricing has to be centrally controlled, while in others some level of discretion must be given. Pricing systems can guide pricing decisions to follow a volume-leader strategy, a high-margin strategy or something in between. Rather than constraining businesses to wait weeks or months to make changes to price lists or pricing policy, these systems can continuously make adjustments consistent with longer-term objectives in response to market conditions. Increasingly companies are using expense management systems to gain greater control over aggregate spending and vendor selection. These sorts of systems can provide controllers and treasurers with greater forward visibility into future outlays, ensure volume discounts are utilized and honored, and help streamline the accounts payable process to earn early-pay discounts.

Taxes are one of a company’s biggest expenses, yet direct (income) tax management is still in its infancy. All larger and even some midsize corporations can benefit from a dedicated tax data warehouse to help automate tax planning and provisioning. Today, most organizations use desktop spreadsheets to manage their direct tax analytics and provisioning, a time-consuming process that fails to deliver transparency or the ability to manage tax risk exposure effectively. They would do well to adopt technology more conducive to a strategic approach to managing income taxes.

A third area where technology can help senior executives achieve better results is in implementing fundamental changes in business management. For example, we are just completing benchmark research into long-range planning, an area where better management of technology and information can support improved alignment between strategy and execution. As well, far from simply being a technology concern, cloud computing enables corporations to cut costs and gain access to more sophisticated technology than what they could feasibly support in an on-premises deployment. Using the right technology can boost performance. The improper use of spreadsheets continues be an unseen killer of corporate productivity. Desktop spreadsheets are excellent for individual, ad-hoc analysis, modeling and data management. They were not designed for use in collaborative, repetitive enterprise-wide processes because they have inherent defects that significantly reduce users’ efficiency in these tasks. Increasingly companies have inexpensive options that are easier to use and enable them to go beyond desktop spreadsheets for modeling, analysis and reporting.  Managing operational risk outside of financial services is still pretty hit and miss, as our recent governance, risk and compliance benchmark research showed. Occasionally major disasters occur to remind executives that they are exposed. Non-financial businesses rarely manage risk as well as they should, because usually risk is not explicitly measured or not measured well, and therefore is not formally considered as a trade-off in making decisions. To address this issue, risk must be part of any balanced scorecard.

Overall, finance and line-of-business operations still focus heavily on improving the efficiency of the mechanics of day-to-day operations, and often fail to use available technology to support more effective approaches. Executives in finance and business must look at their existing IT systems with an eye to making better use of them to automate repetitive tasks and speed execution of cross-departmental functions. Doing that can free up time and money better spent on activities that return value, such as more insightful and actionable analyses or more accurate forecasting and planning.

Information technology is an essential element of business management. Yet, too many senior executives and managers have too narrow and too limited an understanding of IT’s full potential, much as those managing corporate information technology usually don’t appreciate business issues and how IT can address them. The business/IT divide is a barrier that prevents most companies from achieving their true performance potential. The divide has remained a constant impediment since the dawn of business computing six decades ago. It’s not necessary for a CEO or executive of a company to be able to write Java code or master the intricacies of an ERP or sales compensation application. However, each CEO and executive should master the basics of IT just as he must understand the fundamentals of corporate finance, the production process and – at least at a high level – the technologies that support that process. My research agenda for 2013 continues to focus on the major issues that confront businesses where IT plays a key role in addressing those issues.

Come read and download the full research agenda.

Regards,

Robert Kugel – SVP Research

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