Business Intelligence Data Warehousing
Business Intelligence Data Warehousing is the optimization of large volumes of data for analysis.
As organizations capture more information on more dimensions over longer periods of time, they generate volumes of data that grow exponentially. While simple analyses can be performed on transactional data, greater value is derived from increasingly sophisticated metrics when applied to a broader scope of business activity, or over a longer time period.
Data Warehousing: Optimizing Data for Analysis
Significant value is derived from analysis of the data in a data warehouse. Data models and schemas significantly benefit from optimization, as improvements enable higher quality metrics and increases in metric sophistication and data volumes over time. Once these data warehousing and optimization principles are applied, business intelligence software is best positioned to leverage this investment.
Business Intelligence across the entire Data Warehouse
Organizations derive great value by using MicroStrategy for powerful analysis of their entire data warehouse. MicroStrategy provides a unique way to apply superior metrics at any level of data, even drilling down to transactional levels of attribute and metric detail for an individual customer order. Users have superior metric flexibility, combined with the freedom of drilling anywhere in the data warehouse to all dimensions of data at all levels.
Applications of Business Intelligence Data Warehousing
To derive maximum value from investments in data warehousing, businesses require a business intelligence solution to extend the analytics used on one application to all applications. By extending these analytics across applications enterprise-wide, businesses provide a “single version of the truth” to all employees, rather than disparate versions of the same metrics and analysis from application to application. MicroStrategy enables enterprise class BI analysis through a foundation of common business definitions stored in a single scalable and secure metadata.