Implementing Analytics

1st Edition

A Blueprint for Design, Development, and Adoption

Authors: Nauman Sheikh
Paperback ISBN: 9780124016965
eBook ISBN: 9780124016811
Imprint: Morgan Kaufmann
Published Date: 30th May 2013
Page Count: 234
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Table of Contents

Acknowledgments

Author Biography

Introduction

Organization of Book

Audience

Part 1: Concept

Chapter 1. Defining Analytics

The Hype

The Challenge of Definition

Analytics Techniques

Conclusion of Definition

Chapter 2. Information Continuum

Building Blocks of the Information Continuum

Information Continuum Levels

Summary

Chapter 3. Using Analytics

Healthcare

Customer Relationship Management

Human Resource

Consumer Risk

Insurance

Telecommunication

Higher Education

Manufacturing

Energy and Utilities

Fraud Detection

Patterns of Problems

Part 2: Design

Chapter 4. Performance Variables and Model Development

Performance Variables

Model Development

Champion–Challenger: A Culture of Constant Innovation

Chapter 5. Automated Decisions and Business Innovation

Automated Decisions

Decision Strategy

Decision Automation and Intelligent Systems

Strategy Evaluation

Champion–Challenger Strategies

Chapter 6. Governance: Monitoring and Tuning of Analytics Solutions

Analytics and Automated Decisions

Audit and Control Framework

Part 3: Implementation

Chapter 7. Analytics Adoption Roadmap

Learning from Success of Data Warehousing

The Pilot

Chapter 8. Requirements Gathering for Analytics Projects

Purpose of Requirements

Requirements: Historical Perspective

Requirements Extraction

Chapter 9. Analytics Implementation Methodology

Centralized versus Decentralized

Building on the Data Warehouse

Methodology

Chapter 10. Analytics Organization and Architecture

Organizational Structure

Technical Components in Analytics Solutions

Chapter 11. Big Da


Description

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.

Key Features

  • 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

Readership

Data warehouse professionals, data architects, IT managers, business professionals in data-intensive jobs, business and financial analysts, project managers


Details

No. of pages:
234
Language:
English
Copyright:
© Morgan Kaufmann 2013
Published:
Imprint:
Morgan Kaufmann
eBook ISBN:
9780124016811
Paperback ISBN:
9780124016965

Reviews

"...demystifies the concept, technology and application of analytics and breaks its implementation down to repeatable and manageable steps, making it possible for widespread adoption...""…the book is approachable for a non-technical audience as a broad overview of, and as an evangelization tool for, the discipline of analytics." --ComputingReviews.com, March 2014

"The industry hype these days is all about Big Data, but the more interesting topic is what should you be doing with all of that data? This book answers that question…Sheikh does a fine job of helping to simplify a complex topic…If you are looking for a concise and readable treatment on how you can benefit from applying analytics to your data look no further than Implementing Analytics." --Data and Technology Today online, November 2013

"Intended for both IT professionals and business managers, this guide addresses how to plan, design, and build analytics solutions for solving business problems and improving decision strategies." --Reference and Research Book News, August 2013

"This book simplifies the big data challenge and satisfies the needs of various audiences from students to data warehousing professionals clarifying analytics. Organizations can glean practical advice on how to reach the next level of decision-making maturity. Nauman has taken a systematic approach to address people, process and technology challenges as well as covering functional and technical details of implementing an analytics solution." --Ahmad Malik, Vice President of Information Technology, Learning Care Group

"Whether tracking the efficiency of an E.R. visit or predicting how and when to modify staffing levels of your call center, analytics is at the core of the answer. This book helps dispel the unknowns of the black box analytics, giving real insights to make money from data." --George Stragand, V.P. Applicatio


About the Authors

Nauman Sheikh 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.

Affiliations and Expertise

Nauman Sheikh is a veteran of the data architecture profession who has built dozens of large scale operational and data warehouse systems over the last 17 years.