The 5 Styles of Business Intelligence

MicroStrategy at AccTech SYstems

Successful organizations maximize the use of their data assets through business intelligence technology. The first data warehousing and decision support tools introduced companies to the power and benefits of accessing and analyzing their corporate data. Business users at every level found new, more sophisticated ways to analyze and report on the information mined from their vast data warehouses. Demand grew for an increasingly more powerful business intelligence solution that put the right information into the hands of every user within the enterprise.

BI technology has evolved from these ever-increasing user demands to support five distinct application patterns — or styles. These five styles represent the complete spectrum of BI functionality required to support the monitoring, reporting and analytical needs of each and every business user. Most companies looking for a complete BI solution had to rely on multiple products from different niche vendors who supported only a single Style of BI.

 

Microstrategy Scorecards and Dashboards

Scorecards & Dashboards

Microstrategy Enerprise Reporting

Enterprise Reporting

Microstrategy OLAP Analysis

OLAP Analysis

Microstrategy Advanced & Predictive Analysis

Advanced & Predictive Analysis

Microstrategy Alerts & Proactive Notification

Alerts & Proactive Notification

Pixel-perfect report formats with the broadest visual appeal that convey information “at-a-glance” for managers and executives Print-perfect report formats that deliver more detailed operational information than a scorecard or dashboard in a concise format that can be consumed by all business users Slice-and-dice analysis with drilling, pivoting, page-by and sorting capabilities for the manager or business user who needs to perform analyses beyond standard operational reports Full investigative query against the data warehouse down to the transaction level, allowing power users and professional analysts to perform extensive predictive and statistical analyses Information delivery to very large user populations both internal and external to the enterprise based on schedules, business exceptions or demand