Implementing Analytics
A Blueprint for Design, Development, and Adoption
By Nauman Sheikh
Publisher: Elsevier / Morgan Kaufmann
Final Release Date: May 2013
Pages: 234

Implementing Analytics demystifies the concept, technology and application of analytics and breaks its implementation down to repeatable and manageable steps, making it possible for widespread adoption across all functions of an organization. Implementing Analytics simplifies and helps democratize a very specialized discipline to foster business efficiency and innovation without investing in multi-million dollar technology and manpower. A technology agnostic methodology that breaks down complex tasks like model design and tuning and emphasizes business decisions rather than the technology behind analytics.



  • Simplifies the understanding of analytics from a technical and functional perspective and shows a wide array of problems that can be tackled using existing technology

  • Provides a detailed step by step approach to identify opportunities, extract requirements, design variables and build and test models. It further explains the business decision strategies to use analytics models and provides an overview for governance and tuning

  • Helps formalize analytics projects from staffing, technology and implementation perspectives

  • Emphasizes machine learning and data mining over statistics and shows how the role of a Data Scientist can be broken down and still deliver the value by building a robust development process

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oreillyImplementing Analytics
 
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5.0

Analytics simplified

By Lured by Books

from Chennai, India

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Pros

  • Easy to understand
  • Helpful examples
  • Well-written

Cons

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      Comments about oreilly Implementing Analytics:

      I have bought n number of books on Big Data and Analytics, but found them to be either too technical or superficial. I have gone through just the first 2 chapters of this book, and I feel that I presented myself an excellent material on Analytics. The Information Continuum approach is very good in explaining the information. The book explains the terms as and when they occur with short examples - e.g. in first chapter itself Forecasting, Descriptive Analytics, Predictive Analytics are made understandable with appropriate examples and elaborated further in Chapter 2 (this prevents the reader from going back and forth).

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