Cloudera Enterprise Data Hub vs SAP Master Data Governance

• One of the oldest distributors of enterprise standard Hadoop.
• Distribution is based on open source Hadoop even though customizations are done on top of that.
• Faster updates and bug fixes to the products as they have Apache committers.
• Central configuration and control of your Hadoop platform (but still needs improvements).

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• One place for the whole company to look for master data info
• Keeps track of missing attributes and provides reporting on data quality
• Process analytics
• Consolidates data to use best-matched records

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• As any new technology, difficult to hire resources who know the solution specially in APJC to help with Lab and PoC activities.

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• In some cases, difficult to fit specific and vertical requirements of a concrete industry.
• If it's not managed properly, the same data could be placed in different places.

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• The tools in Cloudera Enterprise have enabled us to perform seamless upgrades and monitor the clusters
• Investing in the support enables us to engage with Cloudera to get access to required patches and backports in case of bugs which helps with wider adoption of open source software in the enterprise.
• Voice of the customer enabled us to put forth requests for new features across various components.

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• MDG is definitely an investment that takes a few years to recuperate. (If you are looking at pure, direct financial benefits.)
• However, if you look at all the productivity gains in the business due to not having to stop the business constantly because of data issues, the payback period would be substantially shorter.
• In particular, we were able to reduce master data maintenance staffing levels while increasing quality and decreasing workload for business requesters and approvers.
• Not having to worry about data integrity issues has shortened the time to realize benefits for several of our major process change related projects and it has also decreased the risk of these projects running into significant delays (often at the last minute) due to master data being misjudged during the process resdesign.

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