The Insider's Guide to Next-Generation BPM
By Michael Lock, Research Analyst, Aberdeen Group , 02/26/2009
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The case for collaboration
Properly implemented business intelligence (BI) tools are instrumental in promoting faster, more informed and accurate decision making. Historically, BI has been used in a relatively stove-piped manner. Typically, data is collected, analyzed, and delivered to just one individual or group for visibility into one area of the business.
Recently, the application of BI has expanded in scope and has become relevant to more front line workers in the organization. This expansion has paved the way for a new collaborative style of analytics that fosters a mutual and simultaneous improvement in BI utilization and business visibility. In other words, as users collaborate on the analysis of critical business metrics and showcase the potential of BI, other non-technical users follow suit, ultimately leading to a much clearer picture of how the business is performing.
In order to harness that full potential of a BI solution, Aberdeen's research findings suggest that it must be deployed collaboratively and with the input and insight residing in the minds of its key decision makers. Aberdeen's April 2008 report, Financial Planning and Budgeting, validates this assertion in demonstrating that 42 percent of Best-in-Class companies were involving more decision makers in the budgeting process as a top strategic action.
If market volatility is the overarching trend compelling strategic initiatives, then the struggle to improve decision making is the specific business driver behind collaborative initiatives. Organizations these days are exploring ways to find more relevant information and deliver it to the right people within the organization within an advantageous timeframe, i.e. better decisions, faster. These two concepts are in fact what drive more organizations to focus efforts on analytical collaboration. Respondents were asked to select the top two pressures driving their initiatives and need for greater BI collaboration capabilities (Figure 1).
Figure 1: Top Drivers of BI Collaboration
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