Data Aggregation & Analysis

Companies today are faced with reporting and data analysis applications that are hamstrung by performance. Market and regulatory pressures are placing company CIOs in difficult positions. Furthermore, the amount of data being collected is increasing—as are the demands for more detailed analysis and reporting. Among the areas hardest hit by these challenges are:

  • The need for timely financial close reporting
  • Accurate sales and marketing data to develop more profitable customers, and
  • Real-time disclosure to meet compliance regulations.

In response, organizations have resorted to all manners of stop-gap measures to coax performance out of BI applications—with little to no success.

What Is Data Aggregation and Why Should You Care?

Data aggregation is any process in which information is expressed in a summary form for purposes such as reporting or analysis. Ineffective data aggregation is currently a major component that limits query performance. And, with up to 90 percent of all reports containing aggregate information, it becomes clear why proactively implementing an aggregation solution can generate significant performance benefits, opening up the opportunity for companies to enhance their organizations’ analysis and reporting capabilities.

But how do you go about selecting an effective aggregation solution? First, let’s review the typical quick fixes that are used to improve query performance today. Then we’ll review the seven key criteria that will help companies evaluate an effective data aggregation solution.

An effective data aggregation solution can be the answer to your query performance problems. Free your organization from the arbitrary restrictions placed on your BI infrastructure as a result of quick fixes, and turn reporting and data analysis applications into strategic, corporate-wide assets.
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