Analytical data is used to support a company's decision making. Customer buying patterns are analyzed to identify churn, profitability, and marketing segmentation. Suppliers are categorized, based on performance characteristics over time, for better supply chain decisions. Product behavior is scrutinized over long periods to identify failure patterns. This data is stored in large Data Warehouses and possibly smaller data marts with table structures designed to support heavy aggregation, ad hoc queries, and data mining. Typically the data is stored in large fact tables surrounded by key dimensions such as customer, product, supplier, account, and location.
Matchcite Analytical Solutions focus on managing analytical master data. These solutions focus on providing high quality dimensions with their multiple simultaneous hierarchies to data warehousing and BI technologies. They also bring real value to the enterprise, but lack the ability to influence operational systems. Data cleansing is done inside the Matchcite tool and is invisible to the transactional applications and transactional application knowledge is not available to the cleansing process.