Remove 2001 Remove Data Warehouse Remove Marketing Remove Metrics
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11 Digital Marketing “Crimes Against Humanity”

Occam's Razor

and meet many many many executives and hear about their digital marketing strategies, challenges and outcomes. But maybe the issue is that you (and the Marketers and Leaders. Not spending 15% of your Marketing budget, every month, on experimenting with new techniques / channels / ideas. This post is to solve that problem.

Marketing 126
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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Data from various sources, collected in different forms, require data entry and compilation. That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. One challenge in applying data science is to identify pertinent business issues.

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Data Science, Past & Future

Domino Data Lab

Now, Google is spending what, 10 figures marketing TensorFlow? One application of this is regarding data governance. The data governance, however, is still pretty much over on the data warehouse. Some for big data, some for data warehouses, etc. I can point to the year 2001. All righty.