Implementing Analytics: A Blueprint for Design, Development, and Adoption

Implementing Analytics: A Blueprint for Design, Development, and Adoption

by Nauman Sheikh
ISBN-10:
0124016960
ISBN-13:
9780124016965
Pub. Date:
05/30/2013
Publisher:
Elsevier Science
ISBN-10:
0124016960
ISBN-13:
9780124016965
Pub. Date:
05/30/2013
Publisher:
Elsevier Science
Implementing Analytics: A Blueprint for Design, Development, and Adoption

Implementing Analytics: A Blueprint for Design, Development, and Adoption

by Nauman Sheikh
$45.95
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Overview

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.


Product Details

ISBN-13: 9780124016965
Publisher: Elsevier Science
Publication date: 05/30/2013
Series: The Morgan Kaufmann Series on Business Intelligence
Edition description: New Edition
Pages: 234
Product dimensions: 7.50(w) x 9.20(h) x 0.60(d)

About the Author

Nauman Sheikh is a veteran of the data architecture profession who has built dozens of large scale operational and analytical systems over the last 18 years. He has worked in three continents solving business challenges in consumer credit, risk, fraud and direct marketing areas dealing with a variety of cultural, technological and legal challenges surrounding data and its use. He is a hands-on practitioner with skills ranging from analytical reporting to data mining models to analytics driven business decisions and their audit and control frameworks.

Table of Contents

1. Introduction

2. What is Analytics?

3. Analytics Project Lifecycle

4. Analytics Project Business Case

5. Analytics Project Architecture

6. Analytics Project Team

7. Analytics Project Development Methodology

8. Existing Technology

9. Specialized Databases

10. Statistical Tools

11. Scoring and Rating Engine

12. Strategy Design Tool

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From the Publisher

Simplifies Big Data Analytics opportunity by defining Big Data and analytics, outlining its application to a wide variety of business challenges and detailing an implementation methodology

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