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Springer Data Science and Productivity Analytics - Springer Vol. 290

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£111.46 £107.65 £108.48 £109.31 £110.15 £110.98 £111.81 29 July 2026 15 August 2026 01 September 2026 18 September 2026 06 October 2026
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Description

This comprehensive text explores the intersection of data science, productivity analysis, and operations research through both theoretical foundations and practical applications. Authored by Springer and published as volume 290 in the International Series in Operations Research & Management Science, the book integrates essential concepts including performance metrics, econometrics, and data envelopment analysis. Readers will discover how scientific methods, statistical techniques, machine learning, and pattern recognition combine to extract actionable insights from complex datasets. The content bridges mathematics, computer programming, and operations research, making it valuable for professionals seeking to understand how big data transforms productivity measurement and organisational decision-making across industries.

Key Features

Covers productivity analysis and data envelopment analysis methodologies with practical relevance for operations research professionals.

Integrates data science concepts including machine learning, statistical methods, and pattern recognition for modern analytics applications.

Part of the International Series in Operations Research & Management Science, volume 290, offering peer-reviewed academic rigor.

Combines econometrics and big data frameworks to address contemporary productivity and performance measurement challenges.

Bridges theoretical foundations and practical systems for extracting knowledge and insights from increasingly complex organisational datasets.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
23 May 2021
Listed Since
26 April 2021

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