Many organizations have built data warehouses successfully, and some have failed. There’s no reason at all for you to learn the hard way. In this
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
The field [dbo].[Precedence].[JobNotify] in theÂ LeapFrogBIÂ console databaseÂ is used by the poll job to determine which email to send and when to send it.Â The package named â€œBI_Nofity.dtsxâ€ (step 2 of the poll agent job) consumes and sets these values.Â Here’s what the values represent.
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
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