Accurate and Reliable Data. Data warehousing initiatives include a data cleansing process that eliminates multiple names for the same context (e.g. US, USA, United States and United States of America, are all translated into one single term). As a result, the data that decisions are based upon is more accurate.
Single version of the truth. Confusion over multiple names for the same item (e.g. one name used by marketing, another by affiliate managers) is eliminated, and key terms (e.g. top line, gross revenue) or categories (like customer, player, user, client) have one and only one definition.
Multi-Source Reports. Data warehouses are usually set up to accommodate data from multiple sources and provide a clear picture of relationships that would otherwise be hard to track, e.g. the relation of training costs to productivity.
Custom Reports. Most of the time managers need reports that are not already available in production system. With DataPark application reading from your data warehouse, it is easy to create custom reports.
Instant Reports. With DataPark, custom reports are not time-consuming to create. In contrast to take-a-number, wait in line treatment many managers feel they receive from overworked.
IT organizations, with DataPark they can quickly create new reports themselves – usually in a matter of minutes.
Historical Perspective. Data warehouse contains historical data that is essential for trend analysis.
Drill-down. Data warehouse can present data at any level of detail – from global, to regional, or site-by-site. It can therefore serve the needs and management styles of all managers, those who are only interested in the big picture and those who want to examine highly granular data.
A More Responsive IT Organization. Data warehouses automate the heavy lifting associated with creating new reports. As a result, IT personnel can be re-directed to other projects of strategic importance, and IT can be more responsive to other pressing needs.
Flexibility. One of the biggest complains about IT initiatives is that by the time they are completed, the needs they were designed to address have changed. With a data warehouse, there is a great flexibility to meet changing needs of business.