000 02829nam a22003735i 4500
008 131030s2014 inu 000 0 eng
010 _a 2013954104
020 _a9781118821527
020 _a1118821521 (pbk. : alk. paper)
040 _aDLC
_beng
_erda
_cDLC
042 _apcc
100 1 _aAlexander, Michael.
245 1 0 _aMicrosoft business intelligence tools for excel analysts /
_cMichael Alexander, Jared Decker, Bernard Wehbe.
263 _a1403
264 1 _aHoboken :
_bJohn Wiley and Sons,
_cc2014.
300 _axvi, 362 p. :
_bill. ;
_c24 cm.
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
035 _a17923066
520 _aBridge 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.
650 7 _aMicrosoft Excel (Computer file).
_2sears
650 7 _aElectronic spreadsheets.
_2sears
650 7 _aBusiness
_xComputer programs.
_2sears
650 7 _aBusiness intelligence
_xComputer programs.
_2sears
650 7 _aDashboards (Management information systems).
_2sears
650 7 _aData mining.
_2sears
700 _aDecker, Jared.
700 _aWehbe, Bernard.
005 20170126100444.0
001 57518
003 UOWD
942 _cREGULAR
999 _c24122
_d24122