Title Statements
- Full title :Microsoft® business intelligence tools for Excel® analysts / by Michael Alexander, Jared Decker, Bernard Wehbe.
Summary
Bridge the big data gap with Microsoft Business Intelligence Tools for Excel Analysts. The distinction between departmental reporting done by business analysts with Excel and the enterprise reporting done by IT departments with SQL Server and SharePoint tools is more blurry now than ever before. With the introduction of robust new features like PowerPivot and Power View, it is essential for business analysts to get up to speed with big data tools that in the past have been reserved for IT professionals. Written by a team of Business Intelligence experts, Microsoft Business Intelligence Tools for Excel Analysts introduces business analysts to the rich toolset and reporting capabilities that can be leveraged to more effectively source and incorporate large datasets in their analytics while saving them time and simplifying the reporting process. Walks you step-by-step through important BI tools like PowerPivot, SQL Server, and SharePoint and shows you how to move data back and forth between these tools and Excel; Shows you how to leverage relational databases, slice data into various views to gain different visibility perspectives, create eye-catching visualizations and dashboards, automate SQL Server data retrieval and integration, and publish dashboards and reports to the web; Details how you can use SQL Server's built-in functions to analyze large amounts of data, Excel pivot tables to access and report OLAP data, and PowerPivot to create powerful reporting mechanisms. You'll get on top of the Microsoft BI stack and all it can do to enhance Excel data analysis with this one-of-a-kind guide written for Excel analysts just like you.--
Read More ↓Edition Statements
- Publication Date:©2014
Publication Statements
- Publisher(s):Wiley
- Place of Publication:Hoboken, NJ
- Language:eng
- Publication Date:©2014
Notes
Includes index.
The Physical Object
- Description:1 online resource (xvi, 362 pages) : : illustrations
Edition Identifiers
- ISBN:9781118821558, 1118821556, 9781118821565, 1118821564
- oclc:ocn878263257
- LC Classification:HF5548.4.M523
- Dewey Decimal:658.40380285554
Table of Contents
At a Glance; About the Authors; Table of Contents; Introduction; Part I: Leveraging Excel for Business Intelligence; Chapter 1: Important Database Concepts; Traditional Limits of Excel and How Databases Help; Database Terminology; How Databases Are Designed; Chapter 2: PivotTable Fundamentals; Introducing the PivotTable; Customizing Your PivotTable; Understanding Slicers; Creating a Timeline Slicer; Understanding the Internal Data Model; Chapter 3: Introduction to Power Pivot; Understanding the Power Pivot Internal Data Model; Linking Excel Tables to Power Pivot.
Creating Relationships Among Your Power Pivot Tables Creating a PivotTable from Power Pivot Data; Enhancing Power Pivot Data with Calculated Columns; Utilizing DAX to Create Calculated Columns; Understanding Calculated Fields; Chapter 4: Loading External Data into Power Pivot; Loading Data from Relational Databases; Loading Data from Flat Files; Loading Data from Other Data Sources; Refreshing and Managing External Data Connections; Chapter 5: Creating Dashboards with Power View; Activating the Power View Add-In; Creating a Power View Dashboard.
Chapter 6: Adding Location Intelligence with Power Map Installing and Activ…
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