Data Practices

3 Reasons Faster Achieves More in Analytics

By | 2018-04-04T11:40:51+00:00 April 4th, 2018|Data Practices|

Interested in a counter-intuitive statistic? In one survey successful business intelligence project leaders reported getting value from their implementations more than twice as fast as those that failed to meet their objectives.  A natural tension usually exists between speed and impact.  When one is prioritized in technology, too often the other suffers.  As indicated in

Simple Authentication

By | 2017-12-20T14:37:50+00:00 December 20th, 2017|Data Practices, Embedded BI, Engineering, Products|

When Blacklight evaluated technologies for the partners in our platform, the cloud provider was a major piece of the decision. We needed a partner that was robust, provides virtually infinite scale, clear pricing and most of all the breadth of tools our customers most need. While other providers offered great integration for a specific stack,

Observations from AWS re:Invent

By | 2017-12-04T17:02:37+00:00 December 4th, 2017|Architecture, Artificial Intelligence, Data Practices, Embedded BI, Machine Learning, News|

Amazon certainly knows how to go big at a conference.  With nearly 50,000 attendees AWS re:Invent was spread across Las Vegas hotels and included fully booked sessions from end to end.    Over 1000 sessions were held and venues spanned the MGM, Aria, Venetian, LINQ and Mirage elevating conference logistics and unfortunately wait times to

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