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March 08, 2006

CFO Research: Forecasting still Blurry

Interesting stuff uncovered by the research folks at CFO magazine.

They sought to explore finance executives' views on their ability to report and analyze financial information. What do their companies do well? Which stakeholders are well- or ill-served with information and analysis tools? And what barriers do companies face when trying to improve their financial reporting and analysis capabilities?

CFO Research executed an electronic survey to readers of CFO magazine in November 2005. They gathered a total of 164 responses from senior finance executives — more than half from companies with $1 billion or more in annual revenue.

The respondents' titles breakdown:

- chief financial officer (30 percent),
- vice president or director of finance (33 percent)
- controller (16 percent)

Here are two snapshots of what they uncovered:

and

Looks like the intelligent economy still has a ways to go. A majority of survey respondents say their processes and systems to allow what-if scenario analysis and to give end users flexible desktop access to additional information needed improvement.

Read the report here >>

February 08, 2006

Keeping Score

Performance scorecards and dashboards have the potential to make actionable intelligence available throughout the enterprise -- at both executive and operational levels. Rather than lining up for reports produced by IT analysts, performanace management solutions of this kind make the insights and analysis available on-demand, according to Wayne Eckerson, director of Research and Services for the Data Warehousing Institute and the author of Performance Dashboards: Measuring, Monitoring, and Managing Your Business.

"Dashboards and scorecards can help transform underperforming organizations into high fliers," he writes in Intelligent Enterprise. "They help you focus on the key objectives and provide timely alerts so you can fix problems or exploit opportunities before it's too late. As the name suggests, dashboards provide controls that executives can use to change the direction of an organization and get everyone headed in the same direction. "

Eckerson sees multiple layers in a performance management system:

Monitoring layer -- uses dashboards, scorecards or alerts to notify users of material changes in the performance of processes and activities.
Analysis layer -- lets users drill down into exception conditions and explore a problem's root cause using multidimensional analysis.
Reporting layer -- provides users with detailed operational data (such as a list of defective parts and the customers who received them) so they can take prompt action.
Planning layer -- lets managers employ the output of their analyses to create plans, models and scenarios, which are then fed back into the monitoring layer and encoded as targets and thresholds.

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Eckerson warns us that there are "pseudo performance dashboards" on the market today. The key weaknesses to watch out for: too flat (inadequate data or analytic capabilities); too manual (requiring too much manual data collection and massaging); and too isolated (misaligned with the strategic objectives of the enterprise).

As he concludes, "Performance dashboards and scorecards are part of a layered set of analytical applications running on a common set of BI services; they let users measure, monitor and manage the processes and activities for which they are accountable. Don't forget that the system is dependent on a robust data management architecture that delivers actionable information to users on demand. Dashboards and scorecards should translate the organization's strategy into objectives, metrics, initiatives and tasks customized to each group and individual in the organization."

Read the whole piece here.

February 04, 2006

HP & Business Intelligence

From time to time, we're going to take a look at what various vendors are up to in the Intelligent Economy.

In this case we'll take a look at HP's vision for Business Intelligence.

Yale Tankus spells it out for us in his blog. It's all about "synchronizing strategy & execution."

But how?

If you look beyond the sales-talk, you'll see there is flesh on the bones. HP has built an enterprise management framework around "process aware" business intelligence. Admittedly it's still somewhat IT-centric, but they're headed in the right direction, with partnerships with SAS, Cognos, and Hyperion among others.

What's going to tie all of this together in a manageable way? SOA. And according to HP, their SOA Manager product.

Let's watch the fun. The first step will be getting HP consulting up to speed on SOA. The challenge is not in the vision, but in the execution. The first integrator to get their talent base up to snuff is going to win this game.

Are you listening, IBM Global Services?

February 02, 2006

Interactive Strategy Modeling

Here's some "intelligent economy" thinking from the folks at MercerMC.

The article is called "Uncovering the Hidden Drivers of Demand" and presents a good example of how a data-driven business model works to maximize profit.

Here's how they describe it:

"It's not enough to know what makes demand happen. Executives also need to know the variable costs of acting on that information so that they can determine whether a given move will make or lose money. Linking the information about each demand driver directly to the variable costs of the business answers questions such as: If the brand matters most, where should we invest to improve brand equity and what will it cost? If external influencers matter, should we shift the marketing mix away from golf tournaments and toward better relations with trade journalists? If customer acquisition cost determines most of the lifetime value of that customer, how do we adjust our channel mix to ensure a profitable relationship? If customer service matters, what exactly merits investment--a shorter wait on the phone, the knowledge of call center representatives, or the speed of technician response? If the customer is asking for 24-hour delivery of a turbine, what are the economic implications?"

Decisions are based on data and "profound knowledge" (hat tip to the late, great Deming) to embed the key value drivers and business economics data into a graphical representation of a company's business model, an Interactive Strategy Model, they call it.

Here's a "dashboard" of how this might look:

Doesn't that make you want to read the whole article?