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Advanced Techniques to Harmonize Reference Data for Better Business Intelligence
Eliminate the trial-and-error paradigm with a systematic approach
Learn about advanced data harmonization techniques that will improve the accuracy and efficiency of your Business Intelligence analysis and reporting.
The success of an enterprise Business Intelligence initiative depends on having standard definitions and domain values for Reference Data throughout the enterprise. Many organizations lack a standard process to create these data domains, map to existing system variations, and manage the evolution of these standard domains and the corresponding mapping changes over time. Domains that are not semantically reconciled will result in your Business Intelligence channels delivering inaccurate results.
In this webinar, we will discuss issues related to the standardization of these domains, and present harmonization techniques such as Decomposition, Least Common Denominator and Parameterization. We will also demonstrate how these techniques are implemented in OneData, the leading enterprise reference data management tool.
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