Data Practices

The Myths of Business Analytics Part 4: Dashboard Tools are Complete Solutions

By |2020-08-04T16:16:55+00:00August 4th, 2020|Data Practices|

In this series we have discussed some of the myths of business analytics, and important components to a successful solution including data lakes and intelligence on your data. Finally, it is time to put the presentation in place. This is where dashboard tools can really shine.    Before embarking on dashboard development it’s important to review your questions and start to sketch out how you

The Myths of Business Analytics Part 3: Intelligence Systems Require a Dedicated Team

By |2020-07-20T18:31:24+00:00July 20th, 2020|Data Practices, Services|

In part 2 of this series we explored the importance of data lakes. With an established data lake, blending that data together in workflows requires analytics tooling. That tooling could include hiring data engineers and data scientists that can code the solution in any number of languages like Python or R. But if you don’t have those kinds of

The Myths of Business Analytics Part 2: Databases Replace Data Lakes

By |2020-06-22T15:43:24+00:00June 22nd, 2020|Data Practices, education|

In part 1 of this series we discussed the confusing landscape of business analytics and the components necessary for a complete solution. In part 2 of the series, we will discuss one aspect of business analytics solutions that is vital for success - the utilization of a data lake. The data lake is a place for all your data sources to enter

Avoid Making Your Data Ten Times More Expensive

By |2017-10-16T11:36:30+00:00October 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