MicroStrategy 8 delivers a truly extensive array of analysis to business users, including simple slice-and-dice OLAP analysis, full investigative drilling through the entire data warehouse, set analysis for generating and analyzing lists, and predictive analysis that anticipates future events. MicroStrategy makes all of this analytical power available as a seamless extension to our standard Monitoring and Reporting functionality. With MicroStrategy 8, users can start their day reviewing their standard scorecards and dashboards, drill down to detailed reports for more information, and then drill to full analysis functionality to uncover the root causes of a problem.

Detailed Speed-of-thought Analysis Delivering “Speed of Thought” Analysis for Business People, Down to the Transaction-level of Detail   Business users value MicroStrategy’s simple slice-and-dice OLAP-style of analysis that allows people to view sets of data from many different perspectives with a click of the mouse. This gives ordinary business people the ability to really see and understand what is going on within the business. Even more importantly, MicroStrategy’s renowned relational OLAP technology goes even further by opening up the entire depth and breadth of the data warehouse for full investigative drilling, down to the transaction-level of detail in necessary. And yet still uses the same OLAP features with which business users are familiar.   Powerful Predictive Analysis Bring the Predictive Power of Data Mining into Everyday Reports   For the first time in the industry, MicroStrategy introduces a technology that merges best-of-breed data mining analysis within mainstream BI applications. MicroStrategy 8’s Data Mining Services allows the most sophisticated data mining models created by tools like SAS, SPSS, IBM Data Miner, and Teradata to be incorporated into normal business-person level reporting and analysis. This opens up a whole new door for the popularizing of truly predictive metrics, and puts them in the hands of everyday business people. Typical Predictive Analysis Based on Regression: Typical Predictive Analysis Based on Regression: Determine Who is Likely to: Functions Used: » Achieve Revenue » Stay in Budget » Be Profitable » Be On Time » Respond » Purchase » Defraud » Neural Networking » Clustering Algorithms » Tree Algorithms » Multi-variant Regression Integration of Analysis & Reporting Seamlessly Integrate Analysis With Reporting and Scorecarding   MicroStrategy makes all of this power available as a seamless extension to our standard Monitoring and Reporting functionality. With MicroStrategy 8, users can start their day reviewing their standard scorecards and dashboards, drill down to detailed reports for more information, and then drill to full analysis functionality to uncover the root causes of a problem, and then establish a new subscription that constantly monitors a newly-fond metric that is pivotal to the correction of the problem.

Include Analysis in Everyday Reports Include Sophisticated Analyses for Everyday Reporting and Scorecards   Analysts appreciate the extensive range of statistical functions, math functions, and financial functions that ship with every copy of MicroStrategy 8. With this range of functionality, analysts can embed the most sophisticated insight into everyday MicroStrategy 8 reports and scorecards. The financial functions allow MicroStrategy 8 to generate a full range of Financial Reports and allow users to conduct full investigative financial analyses in support of Sarbanes Oxley compliance.   Analyze & Discover Business Performance Trends Standard Call Center Report Augmented with Statistical Insight:  A full range of statistical analysis can be easily added to everyday  reports. This report uses A) Lognormal Cumulative Distribution, B)  Binomial Distribution Probability, and C) Normal Cumulative Distribution. Over 50 Statistical Functions Available Out-of-the-Box: Standard Deviation   Intercept Point   Variance   Inverse of Lognormal   Geometric Mean   Cumulative Distribution   Average Deviation   Inverse of Lognormal   Kurtosis   Linear Regression   Skew   Inverse of F Probability   Beta Distribution   Distribution Inverse of Fisher   Beta Inverse   Inverse of the Std Normal   Binomial Distribution Probability Inverse of the t-Distribution   Chi Distribution   Variance Test   Chi Inverse   Lognormal Cumulative Distr. Chi Test (Independence)   Mean t-Test   Confidence   Negative Binomial Distribution   Correlation Coefficient   Normal Cumulative Distribution Covariance   Normal Distribution Inverse   Critical Binomial Distribution   Number of Permutations   Cumulative Binomial Distribution   Paired t-Test   Exponent Distribution   Poisson Distribution   F-Probability Distribution   Pearson Product Moment   F-Test   Correlation Coefficient   Fisher Transformation   R Squared (Square of Pearson)   Gamma Transformation   Slope of Linear Regression   Gamma Inverse   STEYX   Multi-variate Regression   Standardize   Homoscedastic t-Test   Std Normal Cum Distribution   Heteroscedastic t-Test   t-Distribution   Hypergeometric Distribution