Showing posts with label analytics. Show all posts
Showing posts with label analytics. Show all posts

Smart Enough Systems: How to Deliver Competitive Advantage by Automating Hidden Decisions Review

Smart Enough Systems: How to Deliver Competitive Advantage by Automating Hidden Decisions
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James Taylor knows the Enterprise Decision Making space and has a lot to teach the rest of us. The first several chapters make an excellent business case for the use of decision systems. I found myself underlining and marking content on several pages. His message, however, gets muted by his disjointed writing style, a problem compounded by a poor graphic layout. The disjointedness is mostly a distraction in the first few chapters, but becomes more critical as the content becomes deeper and more technical. (One of my current job responsibilities is leading a business rules system implementation at my company.)

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"Automated decisions systems are probably already being used in your industry, and they will undoubtedly grow in importance. If your business needs to make quick, accurate decisions on an industrialized scale, you need to read this book."Thomas H. Davenport, Professor, Babson College, Author of Competing on AnalyticsThe computer-based systems most organizations rely on to support their businesses are not very smart. Many of the business decisions these companies make tend to be hidden in systems that make poor decisions, or don't make them at all. Further, most systems struggle to keep up with the pace of change.The answer is not to implement newer, "intelligent" systems. The fact is that much of today's existing technology has the potential to be "smart enough" to make a big difference to an organization's business. This book tells you how.Although the business context and underlying principles are explained in a nontechnical manner, the book also contains how-to guidance for more technical readers.The book's companion site, www.smartenoughsystems.com, has additional information and references for practitioners as well as news and updates.Additional Praise for Smart (Enough) Systems"James Taylor and Neil Raden are on to something important in this book–the tremendous value of improving the large number of routine decisions that are made in organizations every day."Dr. Hugh J. Watson, Chair of Business Administration, University of Georgia"This is a very important book. It lays out the agenda for business technology in the new century–nothing less than how to reorganize every aspect of how a company treats its customers."David Raab, President, ClientXClient"This book is an important contribution to business productivity because it covers the opportunity from both the business executive's and technologist's perspective. This should be on every operational executive's and every CIO's list of essential reading."John Parkinson, Former CTO, Capgemini, North American Region"This book shows how to use proven technology to make business processes smarter. It clearly makes the case that organizations need to optimize their operational decisions. It is a must-have reference for process professionals throughout your organization."Jim Sinur, Chief Strategy Officer, Global 360, Inc.

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Customer Relationship Management: Getting It Right Review

Customer Relationship Management: Getting It Right
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Judy Kincaid has done a masterful job of sorting through the hype and the hope of CRM, and delivering a handbook that we can really use. She lays out the business case, defines the concepts of customer loyalty and retention, and provides step-by-step instructions for companies of all sizes to plan, organize, implement and maintain a customer focus across the business.
Clear-headed and jargon-free, Kincaid discusses the role of the Internet in modern CRM processes. She also provides scores of worksheets and templates that make a complex job easier. Her writing style is serious but also engaging, and she gives plenty of charts and illustrations that break up the text and hold one's interest.
My favorite chapter is 21, on managing data. Kincaid identifies the customer data elements that you need to gather and maintain, where to find them, and how to keep them clean.
Among all the recent books on CRM, this is the most practical, comprehensive and easy to use.

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In Customer Relationship Management: Getting It Right! the former Director of HP's enterprise-wide CRM initiative presents a complete, step-by-step blueprint for designing, implementing, and managing a successful CRM program. Through real-world case studies, Judith W. Kincaid addresses both the managerial and technical challenges of CRM. Kincaid's process examples and detailed templates make it easier than ever to get started - and get results.

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Applied Statistics and the SAS Programming Language (5th Edition) Review

Applied Statistics and the  SAS Programming Language (5th Edition)
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I've been doing data analysis for almost 20 years and recommend this highly. It is not too advanced for the beginning college student or professional, but more weighty than the small Introduction to SAS books (which seem more suitable for those with no experience). Because it interweaves SAS programming with often used statistics (and offers excellent examples and interpretations of output throughout), it is ideal for a stats and/or SAS course.
I find it useful for reviewing SAS steps, and as a quick stats overview. The big SAS books are fine as a reference or for researching more complex and/or narrower questions, but this is far more user-friendly. Highly recommended for the beginning to moderate statistician or programmer.

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As the SAS© programming language continues to evolve, this guide follows suit with timely coverage of the combination statistical package, database management system, and high-level programming language. Using current examples from business, medicine, education, and psychology, Applied Statistics and the SAS Programming Language is an invaluable resource for applied researchers, giving them the capacity to perform statistical analyses with SAS without wading through pages of technical documentation. Includes the necessary SAS statements to run programs for most of the commonly used statistics, explanations of the computer output, interpretations of results, and examples of how to construct tables and write up results for reports and journal articles. Illustrated with SAS Graph™ output. Provides readers with ample models for developing programming skills. For anyone interested in learning more about applied statistics and the SAS programming language.

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