Make Critical Business Decisions With Confidence Using Industry-leading Data Quality Solution
Ascential QualityStageT provides a powerful framework for developing and deploying data investigation, standardization, enrichment, probabilistic matching and survivorship operations. For use in transactional, operational, or analytic applications, in batch and real-time, the same services are seamlessly deployed to facilitate data validation, cleansing or master data entity consolidation for customers, locations and products.
Through an easy-to-use GUI with capabilities easily customized to your specific business rules, Ascential QualityStage provides a full range of functions to convert data from disparate legacy sources into consolidated high quality information that can be utilized throughout a complex enterprise architecture. Sophisticated investigation processing ensures that all the input data values are strongly typed and placed into fixed fielded buckets and includes complete standardization, verification and certification for global address data. The probabilistic matching engine of Ascential QualityStage ensures that links between records that describe the same instance of business entities, such as "customer," are made with the highest quality driven by your business rules. Sets of records that describe the same business entity, such as "customer," are then processed to create the output content and format required to load millions of records into a new operational application or data warehouse or update a legacy system. The same set of business rules can be applied on demand to process just a single transaction.
Ascential QualityStage Enterprise Edition For Unlimited Performance
Ascential QualityStage Enterprise Edition delivers unlimited scalability to your data quality solution and enables companies to solve large-scale business problems through high-performance processing of massive data volumes. By leveraging the parallel processing capabilities of multiprocessor hardware platforms, Ascential QualityStage can scale to satisfy the demands of ever-growing data volumes and ever-shrinking batch windows, making mainframe-class data cleansing horsepower available in an open systems environment for the first time ever.