Data Practices

Observations from KNIME Summit 2017

By | 2017-11-03T17:20:57+00:00 November 3rd, 2017|Artificial Intelligence, Data Practices, data science, KNIME, Machine Learning, News|

Any analytics project today requires data integration, cleansing, manipulation and often they require machine learning.  In order to solve these problems a hodge podge of tooling is typically required.  That usually leads to glueing technologies together that were never meant to really work with each other in the same place.   The problem is exacerbated

Avoid Making Your Data Ten Times More Expensive

By | 2017-10-16T11:36:30+00:00 October 16th, 2017|Data Practices|

When 83% of companies believe their revenue is affected because of data quality problems, we need to take a look at what is going wrong. Few endeavors have received the media attention, promise, and even hype as the revolution organizations today are undergoing to become data-driven. But the value from that investment and work evaporates when the data