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Data Analysis and Data Mining Using Microsoft Business Intelligence Tools

Data Analysis and Data Mining using Microsoft Business Intelligence Tools enables analysts, power users, and business decision makers to;

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Data Mining with Microsoft SQL Server 2008

about topics like mining OLAP databases, data mining with SQL Server Integration Services 2008, and using Microsoft data mining to solve;

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Applied Microsoft Business Intelligence

practices for building complete BI solutions using the full Microsoft toolset. You will learn how to effectively use SQL Server Analysis and;

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Smart Business Intelligence Solutions with Microsoft SQL Server 2008

Get the end-to-end instruction you need to design, develop, and deploy more effective data integration, reporting, and analysis solutions;

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Microsoft Sql Server 2008 Analytics And Data Visualization

mining and forecasting features with Visio Integrate large amounts of data using PowerPoint for Excel Derive matrix, table, and chart data from;

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Business Intelligence In Microsoft Sharepoint 2013

multiple sources and create Data Analysis Expressions (DAX) using PowerPivot Create data-driven diagrams that provide interactive processes and;

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Programming Microsoft SQL Server 2005

solutions. Discover how to: Program views, stored procedures, triggers, and functions using T-SQL Work with the new XML data type and XQuery method;

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Data Analysis Using Sql & Excel 2Nd Ed

A practical guide to data mining using SQL and Excel Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most;

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Business Intelligence Techniques

mining, data mining, and visualization. Business Intelligence Techniques is a compilation of chapters written by experts in the various areas;

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Business Intelligence Techniques

efficiently. Such techniques include: query and reporting tools, online analytical processing (OLAP), statistical analysis, text mining, data mining;

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Integration Challenges for Analytics, Business Intelligence, and Data Mining

book that provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and;

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Business Intelligence and Analytics

extracts information from raw data through tools like data mining, perspective analysis, online analytical processing etc. The textbook will;

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Visual Intelligence

analysis and visualization, including Excel, and explores best practices for choosing a data visualization design, selecting tools from the;

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Utilizing Big Data Paradigms for Business Intelligence

of their organizations, data analysis is an important part of modern business administration. Understanding the use of analytics, reporting, and;

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Predictive Analytics and Data Mining

Put Predictive Analytics into Action Learn the basics of Predictive Analysis and Data Mining through an easy to understand;

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Microsoft .NET and SAP

Get hands-on answers to frequently asked questions about using Microsoft .NET technologies to customize and extend SAP applications. Walk;

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Fundamentals of Business Intelligence

, and reporting. Chapter 5 introduces data mining techniques for cross-sectional data. Different techniques for the analysis of temporal data;

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Business Intelligence In Microsoft Sharepoint 2010

, and metrics using Microsoft Visio Services Build dashboards, scorecards, and other monitoring and analysis tools with PerformancePoint;

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Data Mining Methods and Applications

Employ data mining in research and forecasting Build models with data management tools and methodology optimization Gain sophisticated;

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Professional SQL Server 2000 Data Warehousing with Analysis Services

Mining, Web-Enabled Analysis, and Closed Loop Analysis, plus increased speed, scalability and ease of use.;This book covers: data warehousing and;

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Microsoft Powerpivot For Excel 2010

want to give their data meaning by creating their own Business Intelligence models. And with Microsoft Excel 2010: Data Analysis and Business;

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Decision Trees for Business Intelligence and Data Mining

This example-driven guide illustrates the application and operation of decision trees in data mining, business intelligence, business;

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Data Mining Techniques 3rd

rules, link analysis, survival analysis, and more * Provides best practices for performing data mining using simple tools such as Excel Data;

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Statistical Data Mining Using SAS Applications

Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features;

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Rapidminer

of unstructured data, including text and image mining. Easily Implement Analytics Approaches Using RapidMiner and RapidAnalytics Each chapter describes;

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Data Mining for Design and Marketing

on the computational methods of data mining. Discourse analysis, chance discovery, knowledge discovery, formal concept analysis, and an;

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Data Mining for Design and Marketing

on the computational methods of data mining. Discourse analysis, chance discovery, knowledge discovery, formal concept analysis, and an;

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