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Preferred Practices in Master Data Management and Data Governance ImplementationHeading

📅 August 3, 2018 | 📂 White Papers

Written by: Mohit Saghal, Winston Hsiao, and Annette Wright

The amount of data that businesses generate every day is reaching stratospheric heights. Most industry pundits agree that, at the current rate of data creation, the total amount of data in the world will double every two years. What should you do? Many businesses are realizing that to keep on top of this data, outsourcing certain software or services is a necessity. Companies can use services like what is offered by https://kyligence.io/kyligence-cloud/; a big data platform offering data management and analytic services in the cloud. Forward-thinking executives recognize that this unprecedented data tsunami is a potential business gold mine. Mining for customer centricity, improving supply chain efficiencies, and reducing regulatory exposure are just a few of the benefits that data can deliver.

Extracting value from massive data volumes requires sophisticated analytics. The accuracy and reliability of analytics, in turn, depend largely on the quality of the raw data. This fundamental reality drives the increasingly common corporate mandate of implementing robust data management (mastering) and rigorous data governance (control). Both must coexist. If you believe in the fundamental management principles forged by Peter Drucker, W. Edwards Deming, Robert Kaplan, and others, you should add this mantra to your preferred practice portfolio: “You can’t control data that is yet to be mastered.”

Click here for the complete white paper: Preferred Practices in Master Data Management and Data Governance Implementation

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