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Overview  Reference data solution Market data solution Corporate action solution Cross referencing solution |
Home l Solutions l Cross referencing
In certain situation when data reliability rules must be custom coded, building a data warehouse using data cleansing and ETL tools can be difficult. The result can be an inflexible solution that is difficult to build and hard to maintain. A common problem across all industry is the poor integration and management of data. Most companies often overlook a key component in implementing data integration initiatives, which is customer reference data that uniquely identifies a customer across different applications and sources. It is commonly duplicated and frequently in conflict across applications. Reference data conflicts are usually the main cause of most data quality and reliability problems. Improving the common approach Current approaches to building a reliable data foundation such as data cleansing and extract-transform-load (ETL) tools though are necessary steps to standardize and cleanse data but are insufficient in maintaining data reliability. Data reliability requires the capture of business metadata and the creation of business rules that determine the validity of reference information in business context. In our cross-referencing solution approach, a centralized repository is built that consolidates all the customer reference data - along with the cross references to source systems-into a master reference store. This store then becomes the best source of information. Our repository has the ability to manage the reference data throughout the lifecycle. |
HIGHLIGHTS Cross referencing approach: A centralized repository Consolidates all data Foundation of master reference data A lifecycle approach RELATED INFORMATION |
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