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Building Dashboards with Microsoft Dynamics GP 2016

You're reading from   Building Dashboards with Microsoft Dynamics GP 2016 Excel, Jet Reports, and MS Power BI with GP 2016

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Product type Paperback
Published in Mar 2017
Publisher
ISBN-13 9781786467614
Length 354 pages
Edition 2nd Edition
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Authors (2):
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Belinda Allen Belinda Allen
Author Profile Icon Belinda Allen
Belinda Allen
Mark Polino Mark Polino
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Mark Polino
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Table of Contents (16) Chapters Close

Preface 1. Getting Data from Dynamics GP 2016 to Excel 2016 2. The Ultimate GP to Excel Tool – Refreshable Excel Reports FREE CHAPTER 3. Pivot Tables – The Basic Building Blocks 4. Making Your Data Visually Appealing and Meaningful with Formatting, Conditional Formatting, and Charts 5. Drilling Back to the Source Data and Other Cool Stuff 6. Introducing Jet Reports Express 7. Building Financial Reports in Jet Express for GP 8. Introducing Microsoft Power BI 9. Getting Data in Power BI 10. Creating Power BI Visuals 11. Using the Power BI Service 12. Sharing and Refreshing Data and Dashboards in Power BI 13. Using the Power Query Editor 14. Bonus Chapter Index

Third-party solutions

All of the solutions we have discussed so far are either included with Microsoft Dynamics GP 2016 or are available as additional software from Microsoft. However, if you want to work with Microsoft Dynamics GP 2016 and Microsoft Excel, there are also a number of third-party solutions available. Selecting a third-party solution can be a challenging proposition.

It seems like every vendor remotely connected to reporting and Excel has put out what they term a Business Intelligence (BI) solution for Dynamics GP. Microsoft even referred to FRx, the financial reporting forerunner to Management Reporter, as a BI solution. This may be technically true, but when you say BI, the average user thinks of a dashboard, not a financial-reporting package.

The market has finally shaken out into a few categories with a lot of overlap. The options break down into reporting solutions that can produce dashboards. These are generally known as Corporate Performance Management (CPM) solutions and are more dashboard-focused solutions that can produce financial reports. For our purposes, I'm labeling these solutions as BI. It's really about where the vendor places the emphasis.

Additionally, the choices break down into those that report directly off data in Dynamics GP, those that use a just a data warehouse, and those that use OLAP cubes for their underlying data sources.

The continuum for costs and sophistication generally breaks down the same way. Solutions that report directly off GP data tend to be the least sophisticated and the cheapest. Solutions using a cube tend to be more expensive and more powerful.

We have an entire section of this book Section 3, Microsoft Power BI focusing on Microsoft's own Power BI. This is a simple and inexpensive dashboarding tool. It doesn't cover every company's needs, but it's certainly worth learning for your company's self-service business intelligence needs.

For the purposes of this book, we use the term data warehouse. Some vendors use the term data mart. Generally, a data mart is a specific subset of information in a data warehouse. For example, we might have a data warehouse of operational and financial information, but we segregate just the vendor and AP information into a data mart for use by the purchasing group. Vendors seem to use them interchangeably, with little regard for specific definitions, so for this book, we will use the term data warehouse for both.

The techniques shown in this book work pretty much the same whether you are reporting off a live connection to Dynamics GP, a data warehouse, or a multidimensional cube. Live reporting provides instant gratification. The use of a data warehouse improves the ability to scale reporting without increasing the load on the Dynamics GP server.

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