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Business Intelligence Topics and Solutions

Implementation
» MicroStrategy OLAP Services gives both MicroStrategy Web and MicroStrategy Desktop users access to Intelligent Cubes, letting them slice and dice data without having to re-execute SQL against the data warehouse. Intelligent Cubes facilitate ad hoc query and analysis, allowing users to add and hide objects, create derived metrics, subtotal rows, and filter data
» Intelligent Cubes hold data on the MicroStrategy Intelligence Server. Intelligent Cube definitions are saved as reports in the metadata. Intelligence Server utilizes its Analytical and multi-pass SQL generation engines to perform ROLAP operations against the data warehouse.

Statistical Software

What is Statistical Software?

Statistical Software provides functionality to apply statistical theory to data. These statistical functions can range from concepts as simple as a running sum through to advanced financial or probability calculations.

Statistical Metrics and Analytical Functions

It is not sufficient for an enterprise-class BI platform simply to retrieve information from a data source. Business users must be able to apply analytical richness to the data to gain additional insight for accurate, data-driven corporate performance monitoring and decision making.

MicroStrategy enables questions such as how the business is doing, what problems exist, how to solve them, and how to improve operations to be asked at the enterprise level with a consolidated view. To achieve this, the MicroStrategy BI platform:

  • Supports a wide range of analytical functions
  • Applies these functions across all data sources in the enterprise
  • Supports commonly used analytical techniques
  • Performs predictive data mining
  • Offers rich presentation methods for easy data consumption

MicroStrategy Statistical Software capabilities

Using the Statistical Software capabilities within MicroStrategy, users can pick from more than 270 mathematical, OLAP, financial, and statistical functions. Users then can apply these functions on the fly to any set of enterprise data without any administrative help. These functions range from simple database concepts such as running totals, to full Mathematical functions such as sum, count, average, correlation, slope, and standard deviation; to OLAP functions such as rank, running sum, and exponential moving average; to Financial functions such as internal rate of return and accrued interest; and to Statistical functions such as chi-squared and exponential distributions, kurtosis, skew, and t-tests, among a host of others.

Statistical Packages Included in MicroStrategy BI Platform

Basic Functions
Average
Count
Geometric Mean
Greatest
Maximum
Median
Minimum
Mode
Product
Standard Deviation
Variance

OLAP Functions
Exponential Weight Moving Average
Exponential Weight Running Average
First Value in Range
Last Value in Range
Moving Average
Moving Count
Moving Difference
Moving Maximum
Moving Minimum
Moving Standard Deviation of Population
Moving Standard Deviation of Sample
Moving Sum
Running Average
Running Count
Running Maximum
Running Minimum
Running Total
Running Standard Deviation of Population
Running Standard Deviation of Sample
Running Sum
Rank and NTile Functions
N-Tile
N-tile by Step
N-tile by Value
N-tile by Step and Value
Percentile
Rank
Mathematical Functions
Absolute
Arc cosine
Arc cosine hyperbolic
Arc sine
Arc sine hyperbolic
Arc tangent
Arc tangent2
Arc tangent hyperbolic
Ceiling
Combine
Cosine
Cosine hyperbolic
Degrees
Exponent
Factorial
Floor
Integer
Log
Log Base 10
Modulus
Natural Log
Power
Quotient
Radians
Random Number Between
Round
Round with Precision
Sine
Sine hyperbolic
Square Root
Tangent
Tangent hyperbolic
Truncate
Statistical Functions
Average Deviation
Beta Distribution
Binomial Distribution
Chi-Square Distribution
Chi-Square Test
Confidence Interval
Correlation Coefficient
Covariance
Criterion Binomial Distribution
Exponential Distribution
Fisher Transformation
F-Probability Distribution
F-Test
Gamma Distribution
Heteroscedastic Ttest
Homoscedastic Ttest
Hypergeometric Distribution
Intercept
Inverse of Beta Distribution
Inverse of Chi-Square Distribution
Inverse of F Probability Distribution
Inverse of Fisher Transformation
Inverse of Gamma Distribution
Inverse of Lognormal Cumulative Distribution
Inverse of the Normal Cumulative Distribution
Inverse of the Standard Normal Cumulative Standard
Inverse of T-Distribution
Kurtosis
Lognormal Cumulative Distribution
Mean
Mean T-Test
Negative Binomial Distribution
Normal Cumulative Distribution
Paired T-test
Pearson Product Moment Correlation Coefficient
Permutation
Poisson Distribution
RSquare
Skew
Slope of Linear Regression
Standardize
Standard Normal Cumulative Distribution
Standard Error of Estimates
T-Distribution
Variance Test
Weibull Distribution

Data Mining Functions
Clustering, Numeric
Clustering, Non-Numeric
General Regression, Numeric
General Regression, Non-Numeric
Mining Model, Numeric
Mining Model, Non-Numeric
Neural Network, Numeric
Neural Network, Non-Numeric
Regression, Numeric
Regression, Non-Numeric
Train Regression Model
Train Regression Model with Tree
Tree Model, Numeric
Tree Model, Non-Numeric