Did you ever try getting Businesspeople and IT to agree on the project scope for a new application? Or try getting Marketing and Sales to agree on the target audience? Or try bringing new team members up to speed on the hundreds of tables in your data warehouse - without them dozing off? Whether you are a businessperson or an IT professional, you [Read More]

Master the tools that transform the information in spreadsheets, databases, and servers into faster, better business decisions. Packed with expert insights and practical Your Turn exercises, this essential guide shows how to use the data analysis capabilities in Microsoft® Office applications to capture data, analyze trends, identify risks—and s[Read More]

This book includes step-by-step examples and case studies that teach users the many power tricks for analyzing data in Excel. These are tips honed by Bill Jelen, “MrExcel,” during his 10-year run as a financial analyst charged with taking mainframe data and turning it into useful information quickly. Topics include perfectly sorting with one cl[Read More]

Investigative Data Mining for Security and Criminal Detection is the first book to outline how data mining technologies can be used to combat crime in the 21st century. It introduces security managers, law enforcement investigators, counter-intelligence agents, fraud specialists, and information security analysts to the latest data mining techniqu[Read More]

Building a Data Warehouse: With Examples in SQL Server describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Author Vincent Rainardi also describes some practical issues he has experienced that developers are likely to encounter in their first data warehousing project, along with solutions and[Read More]

As the speed and power of computers increases, so does the need for effective programming and algorithm analysis. By approaching these skills in tandem, Mark Allen Weiss teaches readers to develop well-constructed, maximally efficient programs in Java. A full language update to Java 5.0 throughout the text--particularly its use of generics-adds im[Read More]

The authors' treatment of data structures in Data Structures and Algorithms is unified by an informal notion of "abstract data types," allowing readers to compare different implementations of the same concept. Algorithm design techniques are also stressed and basic algorithm analysis is covered. Most of the programs are written in Pascal.

Shows ordinary users how to tap the rich data analysis functionality of Excel, make sense of their organization's critical financial and statistical information, and put together compelling data presentations Now revised with over 30 percent new content to cover the enhancements in Excel 2007, including the completely redesigned user int[Read More]

The Only Complete Technical Primer for MDM Planners, Architects, and ImplementersCompanies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly gove[Read More]

Data quality problems cost businesses billions of dollars each year in unnecessary printing, postage, and staffing costs, in the steady erosion of an organization's credibility among customers and suppliers, and the inability to make sound decisions. Danette McGilvray presents a systematic, proven approach to improving data quality by combining a c[Read More]