Robert Kugel's Analyst Perspectives

I believe that one of the more important analytical applications that a company can implement is profitability management. IBM Cognos offers Profitability Modeling and Optimization as part of its Cognos 10 offering that my colleague has assessed. As I’ve noted, most people in a corporation are focused on profitability, but not necessarily in a way that optimizes results across the organization in a day-to-day, consistent fashion. Those responsible for each component piece that contributes to...

Right after I posted my blog about the dearth of useful content for the line-of-business and finance audience at this year’s Oracle Open World, I attended a truly useful session. (Of course, it had been shunted to the next-to-last time slot on the final day of the event.) It was a case study presented by AT&T’s tax group, discussing its use of Oracle Hyperion Financial Management to manage the corporation’s tax data.

Risk has always been an integral part of business, but dealing effectively with risk is a progression. Indeed, history shows businesses adapting and coping better with risk through innovation. The importance of using information technology to manage risk is growing because today’s systems can automatically measure and analyze a much broader set of risk factors than individuals can, and do so more reliably. But a key challenge companies face in implementing enterprise risk management is...

As Workday continues to expand and the likelihood of its IPO becomes a more frequent topic of discussion, so does the movement of ERP systems to the cloud. Thus far, only a minority of companies have chosen to put their ERP and accounting systems in the cloud, but the numbers are growing and there’s evidence of success. NetSuite, for example, reported a 26 percent increase in its revenues to $145 million in the nine months up to Sept. 30, 2011. To be sure, this is not close to Salesforce.com’s...

At first thought, it seems as if having a mountain of cash to manage is a problem most companies would like to have, but it’s a real problem nevertheless. To be sure, the large majority of companies are able to deal with their cash and short-term and longer-term monetary investments because the amounts are small enough to be manageable. Indeed, many companies, especially smaller ones, face the opposite problem and spend more time focused on their uncertain funding requirements. Still, over the...

Host Analytics is taking advantage of one of the inherent advantages that vendors of software as a service (SaaS) have compared to on-premises ones: It’s easier for them to offer their customers data services and shared data repositories. The company’s  Decision Hub has been available since last summer. Although it doesn’t break new ground, it is a solid offering of this type and its value should be considered in any evaluation of Host’s offering.

As its name suggests, demand-based pricing is a method that uses the buyer’s demand, based on an estimate of a good’s or service’s perceived value to the buyer, as the central element in setting price. Pricing strategies are most important because they can have a disproportionate impact (positive and negative) on a company’s bottom line. Managing prices has always been an activity of keen interest, but it has become even more so over the past decade as a result of the constrained pricing...

I recently attended Kinaxis’ users’ group meeting and learned some interesting things. The company, which has been around since 1995, provides software for large corporations with complex supply chains. Over the past decade its product has evolved well past its roots as a material requirements planning (MRP) support tool. It is now an analytics suite that facilitates supply and demand planning, analysis and optimization with a focus on sales and operations planning (S&OP). This is a discipline...

In today’s economy, all companies are contending with a dynamic business environment characterized by volatile commodity prices and exchange rates, a shaky global financial system and slow growth in many countries. Many of them rely heavily on desktop spreadsheets to support the data collection and analysis related to their capital-asset planning. However, spreadsheets have inherent limitations that make them the wrong choice.

I hadn’t thought about the exact definition of “driver-based planning” until the question came up in the context of our planning benchmark research showing that only 6% of companies with more than 100 employees do driver-based planning. Broadly defined, the term could be applied to the use of any spreadsheet-planning model because these almost always have built-in volume-times-price formulas, which are components of driver-based plans. However, this is not what most people have in mind when...