Readers: I have received an e-mail from a reader that wanted me to discuss how to optimize MicroStrategy Reports. I think this is an excellent topic and will today start a new blog topic called MicroStrategy Report Optimization. This will be a multi-part series (I will leave it open-ended so I can continue to add to it). […]

Readers: In Part 5 of this series on data blending, we reviewed Tableau’s Data Blending Architecture. With Part 5, I have wrapped up the Tableau portion of this series. I am now going to post, over the next week or so, several parts discussing how we do data blending using MicroStrategy. Fortunately, MicroStrategy just publish […]

Readers: In Part 5 of this series on data blending, we reviewed Tableau’s Data Blending Architecture. With Part 5, I have wrapped up the Tableau portion of this series. I am now going to post, over the next week or so, several parts discussing how we do data blending using MicroStrategy. Fortunately, MicroStrategy just publish […]

Readers: In Part 4 of this series on data blending, we reviewed Tableau’s Data Blending Principles. We also reviewed an example of data blending in Jonathan Drummey’s Patient Falls Dashboard. [3] Today, in Part 5 of this series, we will peel the onion a bit more and look at Tableau’s Data Blending Architecture. Again, much […]

Readers: In Part 4 of this series on data blending, we reviewed Tableau’s Data Blending Principles. We also reviewed an example of data blending in Jonathan Drummey’s Patient Falls Dashboard. [3] Today, in Part 5 of this series, we will peel the onion a bit more and look at Tableau’s Data Blending Architecture. Again, much of […]

Readers: In Part 3 of this series on data blending, we examining the benefits of blending data. We also reviewed an example of data blending that illustrated the possible outcomes of an election for the District 2 Supervisor of San Francisco. Today, in Part 4 of this series, we will discuss data blending design principles […]

Readers: In Part 3 of this series on data blending, we  examining the benefits of blending data. We also reviewed an example of data blending that illustrated the possible outcomes of an election for the District 2 Supervisor of San Francisco. Today, in Part 4 of this series, we will discuss data blending design principles and show […]