At LeapFrogBI we use the term data solution to refer to the portion of the overall analytics system that acquires data and makes it report-ready.
These days you can buy some really great analytics software. In the past ten years it has improved dramatically, and today it enables rapid report
Before you go and start a new analytics project, consider these sobering statistics. As far back as 2005 Gartner began ringing the warning bells.
(This is the final part of a three-part series illuminating the challenges of data analytics and describing a proven solution to the problem.) In part
In part one of this series, Measuring the Cost of Doing Business with Insufficient Analytics, I referenced a series of studies conducted over the past five
A recent survey conducted by CrowdFlower and summarized on Forbes found data scientists spend most of their time massaging rather than modeling or mining data for
The ”data lake”, a catchy new buzzword in analytics circles, has many people wondering if they still need a data warehouse. You may have heard
What is a dimensional model? What is a data warehouse? This video introduces dimensional modeling while setting the stage for the series of dimensional modeling training videos to follow.
Why build a data warehouse when you can have _____. Fill in the blank with the latest marketing epiphany.
A resilient ETL process deals with data quality issues without causing a process failure while also meeting business requirements. One issue that should be anticipated