Your choice of data solution helps define your overall solution architecture as well as the specific needs that must be filled by data wrangling and
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
Simple as that. LeapFrogBI Data Warehouse Automation now supports SQL Server 2017. Existing clients can upgrade their projects without writing a single line of code
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. 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