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Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like.
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Leverage the power of SQL and Excel to perform business analysis
Three key efforts are essential to effectively transform data into actionable information: retrieving data with SQL, presenting data with Excel, and understanding statistics as the foundation of data analysis. Data mining expert Gordon Linoff focuses on these topics and shows you how SQL and Excel can be used to extract business information from relational databases. He begins by taking a look at how data is central to the task of understanding customers, products, and markets, and he then goes on to show you how to use that data to define business dimensions, store transactions about customers, and summarize important data to produce results. Along the way, he shares stories based on his personal experience in the field, intended to enrich your understanding of why some things work—and others don't.
Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what you can expect the results to look like. Throughout the book, critical features of Excel are highlighted, interesting uses of Excel graphics are explained, and dataflows and graphical representations of data processing are used to illustrate how SQL works.
Data Analysis Using SQL and Excel shares hints, warnings, and technical asides about Excel, SQL, and data analysis/mining. The book also discusses:
Ways to use SQL to generate SQL queries
Descriptive statistics, such as averages, p-values, and the chi-square test
How to incorporate geographic information into data analysis
Basic ideas of hazard probabilities and survival
How data structures summarize what a customer looks like at a specific point in time
Several variants of linear regression
The companion Web site provides the data sets, Excel spreadsheets, and examples featured in the book.About the Author:
GORDON S. LINOFF is a cofounder of Data Miners, Inc., a consultancy specializing in data mining. He is the coauthor of the bestselling Data Mining Techniques, Second Edition, and Mastering Data Mining (both from Wiley). He has more than a decade of experience applying data mining techniques to business problems in marketing and customer relationship management.
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Book Description John Wiley & Sons Inc, 2007. Paperback. Condition: Brand New. pap/onl edition. 645 pages. 9.50x7.75x1.75 inches. In Stock. Seller Inventory # __0470099518
Book Description Wiley, 2007. Paperback. Condition: New. Never used!. Seller Inventory # P110470099518
Book Description Wiley. PAPERBACK. Condition: New. 0470099518 New Condition. Seller Inventory # NEW7.0175633
Book Description Wiley, 2007. Condition: New. book. Seller Inventory # M0470099518
Book Description Wiley, 2007. Paperback. Condition: New. 1. Seller Inventory # DADAX0470099518