Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Building Dashboards with Microsoft Dynamics GP 2016
  • Toc
  • feedback
Building Dashboards with Microsoft Dynamics GP 2016

Building Dashboards with Microsoft Dynamics GP 2016

By : Belinda Allen, Polino
5 (1)
close
Building Dashboards with Microsoft Dynamics GP 2016

Building Dashboards with Microsoft Dynamics GP 2016

5 (1)
By: Belinda Allen, Polino

Overview of this book

Microsoft Dynamics GP is a complete ERP solution that is extremely beneficial for small to midsize organizations in helping them grow exponentially. The book shows you in detail how to build great-looking dashboards with Microsoft Dynamics GP that enhance a company’s decision-making processes. This guide will take you from the basics of setting up and deploying to creating secure, refreshable Excel reports. Using a whole host of tools available within Microsoft Dynamics GP and Excel, this tutorial will show you how to visualize your data using simple conditional formatting techniques and easy-to-read charts, and allow you to make your data interactive with slicers. We will also cover core topics such as Business Analyzer, Microsoft SQL Reporting services reports, BI360, and more. You will find out to use Power BI, share and refresh data and dashboards in Power BI, and use Power BI Query Editor. By the end of this book, you will have all the information required to build interactive dashboards using Dynamics GP.
Table of Contents (16 chapters)
close
15
Index

Analysis Cubes

Microsoft Dynamics GP Analysis Cubes for Excel (ACE) is an Online Analytical Processing (OLAP) tool from Microsoft, designed for Dynamics GP.

A full implementation of ACE is beyond the scope of this book, but Analysis Cubes are one of the best sources of data for Excel-based dashboards, so we need to spend a few minutes with them.

ACE takes data from Dynamics GP 2016 and places it in a SQL Server based data warehouse for use with the SQL Server Analysis Services. Usually, this is done once a day due to the volume of data that is being pushed through. At its simplest, a data warehouse is a separate place to store information to report off. Often, the data is optimized to improve the reporting process as it moves into the data warehouse. A multidimensional or OLAP cube not only optimizes the structure of the data to improve reporting, it can pre-calculate and aggregate information to make reporting even more powerful.

The term "data warehouse" can scare people. Some companies go through painfully long data warehouse implementations with careful definition of every element and arguments over how to normalize data for consistency. Forget all of that.

The beauty of a powerful ERP system, such as Microsoft Dynamics GP, is that the database design is known, documented, and doesn't change a lot from version to version. This means that a standard data warehouse can be built that works for companies using Dynamics GP, and it won't require months of work to set up.

The Dynamics GP Analysis Cubes product contains well-designed, aggregated tables for most Dynamics GP modules. For people using third-party add-ons, a customized cube with appropriate measures and dimensions would be required.

After you work through this book and build a few dashboards, you'll start to bump into some of the limitations of reporting directly off Dynamics GP data. These can include placing an undue load on the GP server, difficulty in finding and joining tables, and the struggle of calculating measures by hand. You'll also want to build more complex dashboards as you grow. Using Analysis Cubes for Excel is a great next logical step.

As ACE moves data into a data warehouse for reporting, data-heavy dashboards won't put a load on Dynamics GP. Also, because Analysis Cubes prepopulates and calculates information, complex calculations are available for reporting without having to create formulas in Excel. For example, in the next screenshot, you can see that Budget Variance, Current Ratio, Debit to Equity, and Gross Margin Percentage are all available in Analysis Cubes to simply drag into a pivot table for use in a dashboard. No calculation needed:

Analysis Cubes

Additionally, users have the option of reporting against the data-warehouse relational database or reporting against the cubes.

From a practical standpoint, using Analysis Cubes is very similar to the process we will walk through in Chapter 2, The Ultimate GP to Excel Tool – Refreshable Excel Reports. The techniques used in this book to create a dashboard also work well when building an Analysis Cube based dashboard. Analysis Cubes for Dynamics GP is included in the starter pack in GP 2016, so customers upgrading from previous versions have an even stronger reason to implement it.

Note

For an in-depth look at some of these reporting solutions, including SSRS and Analysis Cubes, we recommend that you refer to Microsoft Dynamics GP 2010 Reporting by Chris Liley and David Duncan from Packt Publishing. Although this book references an older version of Dynamics GP, the content on Analysis Cubes will still be valid and work with the current version, Dynamics GP 2016.

bookmark search playlist font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete