Data-driven decision-making for product managers: a primer to data literacy in product management

By:

Steinhardt, Gabriel

Material type: Text

TextSeries: Business Guides on the Go (BUGO)Publication details: Springer Cham 2024Description: xv, 101 pISBN:

9783031746635

Subject(s):

Data-driven decision-making

DDC classification:

658.403 STE

Summary: This book is an essential guide for product managers seeking to harness the power of data to drive their product decisions. It is a detailed resource for developing and maintaining data literacy, a core skill for product managers. Through a structured approach supported by practical insights and illustrative examples, readers will learn to prioritize decisions based on quantitative data rather than intuition, understand core data concepts, and analyze and leverage data effectively. Product managers will discover how data can transform decision-making processes, enabling evidence-based selection, prioritization, and resource allocation for product features. By using customer feedback, user behavior data, market research, and performance metrics, product managers can foster a culture that leverages data to create successful products. This introductory primer and reference guide is indispensable for product managers aiming to integrate data-driven methodologies into their practice, ensuring their decisions are informed, strategic, and impactful. (https://link.springer.com/book/10.1007/978-3-031-74664-2)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	658.403 STE (Browse shelf(Opens below))	1	Available		007883

Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: Operations Management & Quantitative Techniques Close shelf browser (Hides shelf browser)

Previous			No cover image available					Next
Previous	658.403 REN Quantitative analysis for management	658.403 SAL Facility location under uncertainty: models, algorithms and applications	658.403 SEN Choice of techniques: an aspect of the theory of planned economic development	658.403 STE Data-driven decision-making for product managers: a primer to data literacy in product management	658.40301 BOU Sustainable supply chains: a research-based textbook on operations and strategy	658.40301 COO Data envelopment analysis: a comprehensive text with models, applications, references, and DEA-Solver software	658.40301 DAN Linear programming 2: theory and extensions	Next

Table of contents:
Front Matter
Pages i-xv
Download chapter PDF
The Data Age
Gabriel Steinhardt
Pages 1-7
Data-driven Decision-making (DDDM)
Gabriel Steinhardt
Pages 9-20
Data—Information—Knowledge
Gabriel Steinhardt
Pages 21-34
The DDDM Process
Gabriel Steinhardt
Pages 35-80
Peers and Environment
Gabriel Steinhardt
Pages 81-89
Back Matter
Pages 91-101
(https://link.springer.com/book/10.1007/978-3-031-74664-2)

This book is an essential guide for product managers seeking to harness the power of data to drive their product decisions. It is a detailed resource for developing and maintaining data literacy, a core skill for product managers.

Through a structured approach supported by practical insights and illustrative examples, readers will learn to prioritize decisions based on quantitative data rather than intuition, understand core data concepts, and analyze and leverage data effectively.

Product managers will discover how data can transform decision-making processes, enabling evidence-based selection, prioritization, and resource allocation for product features. By using customer feedback, user behavior data, market research, and performance metrics, product managers can foster a culture that leverages data to create successful products.

This introductory primer and reference guide is indispensable for product managers aiming to integrate data-driven methodologies into their practice, ensuring their decisions are informed, strategic, and impactful.

(https://link.springer.com/book/10.1007/978-3-031-74664-2)

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