Planning for Fixed-Asset Investment Requires the Right Tool, Not Just a Spreadsheet
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.
Spreadsheets are handy because most people already have them installed on their computer and have the basic skills to use them. They facilitate ad-hoc analysis and modeling. People who understand a business process and business objectives can quickly translate this knowledge into formulas and numbers. More formal software, such as dedicated planning applications, demand some degree of additional training for business users and may also require some ongoing involvement by the IT department to set up and maintain models and analyses. Thus for many departments and individuals this creates a barrier, and they conclude that it’s just faster, easier and cheaper to work with spreadsheets.
Yet spreadsheets fall apart as a modeling and analysis tool when used in repetitive collaborative enterprise-wide activities. Asset-intensive companies almost always have a high degree of centralization in making capital allocation decisions, so individual spreadsheets must be “rolled up” to gain a consolidated view of the investments. Our research shows that even people who are highly experienced in using spreadsheets find it difficult to combine more than a couple of them at a time. Since they lack referential integrity, models are brittle – meaning that when rows and columns are changed in one, it creates an error in the consolidated view. Spreadsheets have limited dimensionality and are not inherently time-aware. Yet one of the most important characteristics of capital investment analysis and management is the timing of the various activities and the cash flows associated with them. It’s therefore difficult (although not impossible) to impose global assumptions across multiple users and extremely difficult to manage the time dimension of investment modeling. more





