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.

"...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. Application Development, OpenSpan

• 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

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.

"...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. Application Development, OpenSpan

• 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

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.

"...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. Application Development, OpenSpan

• 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