Data analytics in project management / edited by Seweryn Spalek.

By: Spalek, Seweryn [editor.]Material type: TextTextPublisher: Boca Raton, FL : CRC Press, c2019Description: xii, 221 pages ; illustrations, with cdContent type: text Media type: unmediated Carrier type: volumeISBN: 9781032094526 (alk. paper)Subject(s): Project management - Data processing | Project management - Statistical methods
Contents:
Table of contents: Chapter 1 Introduction -- Chapter 2 Why data analytics in project management -- Chapter 3 Data analytics risk: lost in translation? -- Chapter 4 Analytical challenges of a modern PMO -- Chapter 5 Data analytics and project portfolio management -- Chapter 6 Earned value method -- Chapter 7 How to manage big data issues in a project -- Chapter 8 IT solutions of data analytics as applied to project management -- Chapter 9 Conventional and unconventional data mining for better decision-making -- Chapter 10 Agile project management and data analytics -- Chapter 11 Data analytics and scrum.
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Reference (MAIN) Reference (MAIN)
658.404 Sp19 2019 (Browse shelf) Available 3UCBL000026434

Includes bibliographical references and index.

Table of contents: Chapter 1 Introduction -- Chapter 2 Why data analytics in project management -- Chapter 3 Data analytics risk: lost in translation? -- Chapter 4 Analytical challenges of a modern PMO -- Chapter 5 Data analytics and project portfolio management -- Chapter 6 Earned value method -- Chapter 7 How to manage big data issues in a project -- Chapter 8 IT solutions of data analytics as applied to project management -- Chapter 9 Conventional and unconventional data mining for better decision-making -- Chapter 10 Agile project management and data analytics -- Chapter 11 Data analytics and scrum.

Biore, Christopher College of Business and Accountancy Business / Management

English

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