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A guide to efficient Oracle implementation

IBM Big Data Hub

The platform has been used to modernize and unify the information technology (IT) ecosystem of major financial firms, simplify human capital management (HCM) across brands’ subsidiaries, and optimize reporting processes in complex healthcare settings. Data quality: Ensure migrated data is clean, correct and current.

Testing 74
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Dear Avinash: Your Digital Marketing + Analytics Challenges Answered

Occam's Razor

The mistake we make is that we obsess about every big, small and insignificant analytics implementation challenge and try to fix it because we want 99.95% comfort with data quality. We wonder why data people are not loved. :). Let's end on that note of optimism. Six years go by. Nothing changes for the business.

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A Big Data Imperative: Driving Big Action

Occam's Razor

My new favorite data quote by Zack Matere, a Kenyan farmer. The current flawed data org structure, its challenges, and the new optimal org structure to truly bring big action to big data. If the answer is yes, then you don't need real time data, you need right time data. 01:15 – 04:05 Part 1.

Big Data 127
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Data Science, Past & Future

Domino Data Lab

One is data quality, cleaning up data, the lack of labelled data. The problems down in the mature bucket, those are optimizations, they aren’t showstoppers. Then in 2006, they told me to go look at a website and sign up for a thing. Machine learning is a subset of mathematical optimization.