Power BI offers many ways to pull in data for analysis. But what approach should your organization take? The answer depends on considerations that include whether or not your organization has an existing data warehouse, your need for real-time dashboarding and the ease-of-use factor for your analysts. We explore four options, outlining the pros and cons of each.
Overview and mechanics of data analysis expressions.
Demos of features that boost self-service analytics.
Flawed data and bad decisions result from poor data models.
Take these into account when determining which tools are best suited to the task at hand.
We outline the benefits of OLAP report authoring and provide background on the architecture.
A retrospective of where OLAP started and what still brings to BI.
We describe how to work with data modules and discuss their limitations.
Learn the two-fold solution for Excel data extraction and scrubbing.
Read on for a snapshot that highlights the unique functions and features of each.
See a solution for how to update existing code vs. having to start from scratch.
Get answers to questions having to do with data access and manipulation in Tableau.
