Data Warehousing and Business Intelligence
PROBYS develops data warehouses that can be used to analyze a particular subject area ? sales, finance and operations. The data warehouse integrates data from multiple company sources. For example, two sources may have different ways of identifying a product, but in a data warehouse, there will be only a single way of identifying a product.
Historical data is typically kept in a data warehouse for various time periods from three months, six months, 12 months or even longer. Once data is in the data warehouse, it will not change. So, historical data in a data warehouse should never be altered. PROBYS integrates these data warehousing concepts into best practices for decision making.
Business intelligence is commonly associated with data warehousing because many of the tool vendors position their products as business intelligence software rather than data warehousing software. There are other occasions where the two terms are used interchangeably.
PROBYS business intelligence solutions refer to information available to the enterprise for making decisions. A data warehousing (or data mart) system is the backend or infrastructural component for achieving business intelligence. Business intelligence also includes insights gained from doing data mining analysis as well as unstructured data, which points to the need for content management.