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

Occam's Razor

When a majority of your budget is invested in tools and data warehouses, rather than smart people to use them, you are saying you prefer to suck. Making lame metrics the measures of success: Impressions, Click-throughs, Page Views. Your website was created in 1996, updated slightly in 2001, and left to rot ever since.

Marketing 126
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Data Science, Past & Future

Domino Data Lab

Greg Linden ‘s article about splitting the website on Amazon. The data governance, however, is still pretty much over on the data warehouse. Some for big data, some for data warehouses, etc. We have an article on this on Domino. I can point to the year 2001. All righty.