Remove 2001 Remove Blog 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

Not having a vibrant, engaging, non-pimpy blog. I fundamentally believe that having a vibrant bi-directional conversation on a destination you control with policies you set and data you control is not just insurance, it is your duty to your customers. Making lame metrics the measures of success: Impressions, Click-throughs, Page Views.

Marketing 126
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Data Science, Past & Future

Domino Data Lab

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. The data governance, however, is still pretty much over on the data warehouse. Some for big data, some for data warehouses, etc.