Why every company should understand and employ data warehouse automation
There are two kinds of companies, those that get analytics right, and those that fail. Failure may not come overnight, but in a competitive marketplace
There are two kinds of companies, those that get analytics right, and those that fail. Failure may not come overnight, but in a competitive marketplace
At LeapFrogBI we continue to be gratified with the fantastic response to Managed Analytics Services. As we continue our quest to re-shape the industry away
Building a HIPPA Compliant Reporting Solution Run a search on “HIPAA compliant reporting” and Google will ask, “Did you mean HIPAA compliance reporting”? One obvious
A Recipe for Transforming Data Into Insights that Improve Business Outcomes The failure rate for business intelligence projects is high. Exactly how high is up
For years companies have been buying reporting software, such as Cognos or Business Objects, hoping to solve their reporting challenges with a single purchase. Today
Reporting tools have become pretty good, and companies buy them with the expectation that doing so will solve their reporting challenges. But is this really the case? Are they really up to the job? This is a conversation we have frequently with clients and we hope it may benefit you.
Many organizations have built data warehouses successfully, and some have failed. There’s no reason at all for you to learn the hard way. I’m going
A data warehouse offers the benefits of fact-based decision making, and these days nearly everyone agrees on their value. But data warehouse project have an
Dimensional modeling (DM) places and emphasis on the end user’s experience. The goal is to create a data model that performs well and is simple
Ok, full disclosure, this really has nothing to do with quitting your job. On the contrary, if you work in the field of analytics it
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