data analytics

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

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

BI Vendor Analytics – Q4 2017

By | 2017-10-19T16:22:36+00:00 October 19th, 2017|Uncategorized|

We like to use our data skills to help people. We have found that to be a quick route to trust and credibility. One of our most popular recent posts made use of research Blacklight had conducted on business intelligence tool features. Choosing a BI tool has gotten wildly complicated as the web proliferates with

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