<p/><br></br><p><b> Book Synopsis </b></p></br></br><p><b>Bridge the big data gap with <i>Microsoft Business Intelligence Tools for Excel Analysts</i></b></p> <p>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, <i>Microsoft Business Intelligence Tools for Excel Analysts</i> 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.</p> <ul> <li>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</li> <li>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</li> <li>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</li> </ul> <p>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.</p><p/><br></br><p><b> From the Back Cover </b></p></br></br><p><b><i>Self-Service Business Intelligence with Excel</i></b></p> <p>For the first time, Excel is an integral part of the Microsoft BI stack - capable of integrating multiple data sources, defining relationships between data sources, processing analysis services cubes, and developing interactive dashboards that can be shared on the web. With these new tools, it's becoming important for Excel analysts to expand their knowledge to include new skills, like database management, query design, data integration, multidimensional reporting, and a host of other practices.</p> <p>This book is aimed squarely at business analysts and managers who find it increasingly necessary to become more efficient at working with the new Microsoft BI tools like Power Pivot, Power Query, and Power View.</p> <p><b><i>Let Mr. Spreadsheet show you how to: </i></b></p> <ul> <li><b>Use PowerPivot to create powerful reporting mechanisms</b></li> <li><b>Automate data integration with Power Query</b></li> <li><b>Create geo-spatial reporting with Power Map</b></li> <li><b>Develop eye-catching Dashboards with Power View</b></li> <li><b>Use SQL Server<sup>(R)</sup> to leverage relational and OLAP databases</b></li> <li><b>Gain insight and analytical power with Data Mining tools</b></li> </ul><p/><br></br><p><b> About the Author </b></p></br></br><p><b>Michael Alexander</b> is a Microsoft Certified Application Developer (MCAD) and author of several books on advanced business analysis with Microsoft Access and Excel.</p> <p><b>Jared Decker</b> is the co-founder of StatSlice Systems and a certified BI developer with more than 14 years' experience training and developing enterprise reporting solutions.</p> <p><b>Bernard Wehbe</b> a is a veteran BI consultant and co-founder of StatSlice Systems where he helps organizations implement business analytics and data visualization solutions.</p> <p><b>John Walkenbach</b> is arguably the foremost authority on Excel. He has written more than 30 books and maintains the popular Spreadsheet Page at www.j-walk.com/ss.</p>
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