Book Image

Building Dynamics CRM 2015 Dashboards with Power BI

By : Steve Ivie
Book Image

Building Dynamics CRM 2015 Dashboards with Power BI

By: Steve Ivie

Overview of this book

<p>Dynamics CRM 2015 holds a wealth of information about customers and the sales pipeline, but sometimes leaves users with basic end-user reporting and dashboard options. Power BI is a great new tool for analyzing and presenting data, giving us the ability to dig deeper into the information. With the increased requests for real-time sales analytics, Power BI when connected to Dynamics CRM offers a self-service approach to build, shape, and present data through an easy-to-use interface. The set of features within Power BI will give all users a tool to generate real-time sales productivity reports and dashboards to enhance their sales performance.</p> <p>This book will provide you with the skills you need to learn how to build and present Dynamics CRM 2015 sales dashboards using Power BI. It follows a step-by-step process to build an interactive dashboard by organizing and consolidating datasets, improving the look and feel of graphs, charts, and maps, and enhancing data clarity with filters and slicers.</p> <p>By sequentially working through the steps in each chapter, you will learn how to use the Power BI Q/A functionality to query data in the dashboard, extend the dashboards to the mobile apps for the iPad and Surface, and leverage the pre-built workbook template provided by Microsoft for Dynamic CRM 2015 sales, service, and marketing dashboards.</p>
Table of Contents (18 chapters)
Building Dynamics CRM 2015 Dashboards with Power BI
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Getting new data


Figuring out how to access and authenticate to a SQL Server environment from Power BI can be a cumbersome process, but once we have established that access, we can begin building the ERP datasets in Power BI.

Let's take a look at an example of how we connect to SQL Server using the Power BI Designer:

  1. In the Query View window, select Get Data from the Home tab under the top menu and select the SQL Server option:

  2. Using the Microsoft SQL Server import window, enter the Server name as DYNSE and the Database name as TWO, add the Customer Aging query, and click on OK:

  3. After successfully establishing the connection, it should return a new dataset. Rename this dataset as Customer Aging: