Data Analysis Using SQL and Excel

Voorkant
John Wiley & Sons, 2008 - 645 pagina's
1 Reviewen
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:

  • How entity-relationship diagrams describe the structure of data
  • 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.

 

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Geselecteerde pagina's

Inhoudsopgave

A Data Miner Looks at SQL
2
Chapter
3
Whats In a Table? Getting Started with Data Exploration
43
How Different Is Different?
91
How Different Are the Averages?
99
Where Is It All Happening? Location Location Location
133
Its a Matter of Time
185
How Long Will Customers Last? Survival Analysis
239
Whats in a Shopping Cart? Market Basket Analysis
401
Data Mining Models in SQL
457
Linear Regression Models
511
Measuring Goodness of Fit Using R2
532
Weighted Linear Regression
544
More Than One Input Variable
552
Lessons Learned
560
Building Customer Signatures for Further Analysis
563

The What
297
Time Windowing
316
Lessons Learned
344
Appendix Equivalent Constructs Among Databases
611
Index
637
Copyright

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Over de auteur (2008)

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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