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Corporations build business intelligence and data warehouse systems to gain competitive advantage. DB2 helps you create business intelligence and data warehouse systems that give the performance corporations need by providing many industry leading features.
Combine DB2 MQTs for DB2 Business Intelligence Databases
In other posts I talked about DB2 business intelligence and data warehouse designs that combine multiple DB2 materialized query tables (DB2 MQTs). Combining these DB2 MQTS with different Weekly, Monthly, Quarterly and Yearly data provides a great way to quickly get reporting information.
But business intelligence data warehouse systems are more than just providing a platform to total sales figures quickly. As an IBM commercial pointed out, business intelligence is about getting a deeper understanding of your business. Your data warehouse design needs to be able to provide the extra data or information that provides context, comparisons and a deeper meaning to data.
Drill Down for Requirements for Your DB2 Business Intelligence and Data Warehousing Systems
Understanding the flow of the sales totals, noticing whether sales trends are improving or declining is only the beginning. The ability to drill into your data warehouse information quickly and meaningfully is the start of a business intelligence system. Being able to drill through big department categories and then also analyze to the tiniest pixel color levels within unstructured data items is becoming part of data warehouse requirements for new systems.
When you are designing your new DB2 data warehouse business intelligence system, don’t stop with the major questions that are going to be asked. Follow up to uncover additional questions that will be asked after the first question gets answered. After you have uncovered four or five levels of questions, you’re ready to start the DB2 business intelligence data warehouse design. This way your system can provide better value and deep insights into improving the business.
