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Entity Resolution and Information Qualityby John R Talburt
Synopses & Reviews
Customers are the heart of any business, and corporations are increasing the amount of customer data they collect at 40% per year. However, just because we have the data doesn't mean we know how to use it. If misinterpreted, large volumes of data can actually encourage false conclusions that result in bad decisions and lost opportunities.
For example, customers often transact business through different sales channels, departments, or branches of a corporation. The records of these transactions are not always merged, often remaining in separate databases. To management, it appears that all of these records are for different customers. The result is that the business is not able to realize the full value of customers because of a poor relationship (e.g. long-time customer treated as a new customer), lost cross-sell and up-sell opportunities, and operational inefficiencies (e.g. incorrect reports, multiple mailings to the same person). These kinds of errors lead to steep financial losses.
Entity Resolution and Information Quality teaches you the process of locating and linking together information about the same person, place, or thing - eliminating duplications - and making crucial business decisions based on the results. It serves as an authoritative, vendor-independent technical reference for practitioners: architects, technical analysts, and solution developers. In short this book gives you the know-how at an applied level to aggregate data from disparate sources and form those accurate customer profiles the useful for marketing and sales stakeholders. It is an invaluable guide for succeeding in today's info-centric society.
* Has a strong industry perspective with lots of practical system design advice that creates a competitive advantage for organizations.
* Written by a recognized expert on data integration who acts as Co-Director of the MIT Information Quality Program's Working Group.
* Includes a companion site that houses synthetic customer data for applicatory exercises, and access to a Java-based Entity Resolution program.
Book News Annotation:
Talburt (information science, U. of Arkansas-Little Rock) presents a textbook developed from a graduate course on the two emerging specialties within information science. Students tend to come from a number of disciplines, so no deep background in information science is assumed, and the material may even be suitable for upper-level undergraduate courses. He covers principles of entity resolution and information quality, entity resolution models and systems, entity-based data integration, the OYSTER open-source software development project, and trends in research and applications. Annotation ©2011 Book News, Inc., Portland, OR (booknews.com)
Learn how to integrate and use your customer and product information data to stay ahead of your competition!
Customers and products are the heart of any business, and corporations collect more data about them every year. However, just because you have data doesn’t mean you can use it effectively. If not properly integrated, data can actually encourage false conclusions that result in bad decisions and lost opportunities. Entity Resolution (ER) is a powerful tool for transforming data into accurate, value-added information. Using entity resolution methods and techniques, you can identify equivalent records from multiple sources corresponding to the same real-world person, place, or thing.
This emerging area of data management is clearly explained throughout the book. It teaches you the process of locating and linking information about the same entity - eliminating duplications - and making crucial business decisions based on the results. This book is an authoritative, vendor-independent technical reference for researchers, graduate students and practitioners, including architects, technical analysts, and solution developers. In short, Entity Resolution and Information Quality gives you the applied level know-how you need to aggregate data from disparate sources and form accurate customer and product profiles that support effective marketing and sales. It is an invaluable guide for succeeding in today’s info-centric environment.
Table of Contents
Chapter 1 Principles of Entity Resolution Chapter 2 Principles of Information Quality Chapter 3 Entity Resolution Models Chapter 4 Entity-Based Data Integration Chapter 5 Entity Resolution Systems Chapter 6 The OYSTER Project Chapter 7 Trends in Entity Resolution Research and Applications
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Business » Computers