Implementing analytics : a blueprint for design, development, and adoption /

" ... 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 ... Simplifies and helps democratize a very specialized discipline to...

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Detalles Bibliográficos
Autor principal: Sheikh, Nauman Mansoor
Formato: Libro
Lenguaje:Inglés
Publicado: Amsterdam : Elsevier, c2013.
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020 |a 9780124016965 (alk. paper) 
020 |a 0124016960 (alk. paper) 
035 |a (OCoLC)000060993 
035 |a (udesa)000060993USA01 
035 |a (OCoLC)851180941 
035 |a (OCoLC)990000609930204151 
040 |a U@S  |b spa  |c U@S 
049 |a U@SA 
050 4 |a T57.6  |b .S45 2013 
100 1 |a Sheikh, Nauman Mansoor. 
245 1 0 |a Implementing analytics :  |b a blueprint for design, development, and adoption /  |c Nauman Sheikh. 
260 |a Amsterdam :  |b Elsevier,  |c c2013. 
300 |a xxi, 211 p. :  |b il. ;  |c 24 cm. 
504 |a Incluye referencias bibliográficas e índice. 
505 0 |a 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. 
520 |a " ... 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 ... 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." --Contratapa. 
650 0 |a System analysis. 
650 7 |a Análisis de sistemas.  |2 UDESA