Implementing Analytics: A Blueprint for Design, Development, and Adoption
- 4h 12m
- Nauman Sheikh
- Elsevier Science and Technology Books, Inc.
- 2013
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
About the Author
Nauman Sheikh is a veteran IT professional of 18 years with specialization and focus on data and analytics. His expertise range from data integration and data modeling in operational systems, to multiterabyte data warehousing systems, to analytics driven automated decisioning systems. He has worked in three continents solving data-centric problems in credit, risk, fraud, and customer analytics areas dealing with cultural, technological, and legal challenges surrounding automated decisioning systems. Throughout his career, he has been a firm believer in innovation through simplification to encourage better coordination between technical and business personnel, leading to innovative answers to pressing challenges.
He firmly believes in democratization of analytics and has been working diligently the last few years in building analytics systems using well-known and widely available components. He holds a bachelor's degree in computer science from F.A.S.T Institute of Computer Science, Pakistan and lives in Maryland.
In this Book
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Introduction
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Defining Analytics
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Information Continuum
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Using Analytics
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Performance Variables and Model Development
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Automated Decisions and Business Innovation
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Governance—Monitoring and Tuning of Analytics Solutions
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Analytics Adoption Roadmap
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Requirements Gathering for Analytics Projects
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Analytics Implementation Methodology
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Analytics Organization and Architecture
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Big Data, Hadoop, and Cloud Computing
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Conclusion
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References
