Achieving data excellence must be a central goal in any data mart, data warehouse, or BI undertaking. Gartner said it best: "Through 2007, more than 50 percent of data warehouse projects will experience limited acceptance, if not outright failure, because they will not proactively address data quality issues (0.8 probability)." The Butler Group, in its recent report, "Business Intelligence: A Strategic Approach to Extending and Standardising the Use of BI," wrote: "Any organisation that cannot deal with data quality and consistency issues from within the confines of its BI platform does not have a credible product in place, nor does it have a plausible BI strategy."
When this challenge is not addressed head on, the data warehouse becomes an aggregation of all the poor-quality data that existed in the source systems. In fact, when multiple data sources are integrated, the preponderance of duplications and data inconsistencies becomes much greater than in any of the individual systems. The result is a data quality quagmire which often renders the resulting BI analysis and reporting to be partial at best, and useless at worst. When managers don't have faith in the data, they simply will not use it for making business decisions.
Gartner points out that, "Most visible to management is the growing dissatisfaction with the quality of data in business intelligence (BI)-oriented data structures such as data warehouses. As the strategic importance of applications built on these structures continues to grow, users are less tolerant of poor quality. This also applies when the data warehouse generates information for compliance with regulations such as the U.S. Public Company Accounting Reform and Investor Protection Act (Sarbanes-Oxley)."
Zoomix Accelerator offers enterprises a fast and highly-automated track to achieving BI data excellence and its resulting business benefits. The product combines advanced semantic and linguistic analysis with machine learning to automatically and accurately classify, match and standardize complex and highly-variable enterprise data. Patent-pending Self-Learning Technology allows the software to learn, understand, and correct any type of complex master data on the fly.
Whether for a one-time data warehouse implementation or for recurring extract-transform-load (ETL) operations, Zoomix Accelerator will ensure your master data is unified and standardized, and free of errors, duplicates, inconsistencies, and redundancies. Furthermore, Zoomix's best-in-class auto-classification engine can transform your product, part, customer and supplier data into an even more usable and valuable asset.
Zoomix Accelerator begins delivering business benefits immediately while obviating the need for large-scale pre-deployment projects. The system functions equally well with all the complex data types found in the data warehouse, including semi-structured product and financial data.
Zoomix Accelerator dramatically enhances the value of any BI system by providing advanced data correction functionality lacking from today's BI systems. This functionality includes:

Zoomix Accelerator easily integrates with leading PIM, BI, and MDM solutions to provide in-line "data excellence" services.