In the same way that operational databases are geared toward data collection and transactional efficiencies, data warehousing is a technology and set of concepts that aim to best utilize that data. In other words, it is geared toward enterprise reporting and opens the door to leverage technologies such as business intelligence (BI), which allows you to “slice and dice” that data to gain competitive insight in a number of ways.
How does Data Warehousing Work?
- Data warehousing seeks to organize and store the data in a manner more aligned with business processes and goals. This usually involves a dimensional structure that makes it easier for a business user to understand and is inherently much more conducive to reporting.
- Data warehousing can serve as the common repository by which you pull together and integrate data from multiple sources. This allows for reporting across areas where it was not previously possible and opens up the realm of enterprise reporting.
- A data warehouse tracks changes in the operational data over time, which allows for longitudinal analysis; preparing for the future by learning from the past. The warehouse is flexible enough to isolate itself structurally from the impact of those changes while allowing you to incorporate and report on them.
- Data warehousing removes the reporting burden from the operational systems which are then free to more efficiently do the job for which they were intended.
Real-Time and Batch Data Integration (EII, ETL, and EAI)
Many data warehousing projects have underperformed or failed because operational reporting or tactical analysis requirements were not met by standardized data warehouse architecture. The reality is every organization has different and unique needs when it comes to data integration. This is a key to your competitive advantage. At EKS&H, we never lose sight of the fact that the true importance of the data warehouse lies in the quality and business value of the data and reporting that it feeds.
Flexibility is Key
Our flexible approach embraces not only batch oriented integration but also real-time technologies such as enterprise information integration (EII) and enterprise application integration (EAI). This ensures that the architecture implemented meets all your reporting and analysis requirements. We also utilize data profiling, data cleansing, and metadata tools and technologies to verify business rules are reflected in the data and to ensure that the data is as accurate as possible.