Fr. 53.90

Data-driven Decision-making for Product Managers - A Primer to Data Literacy in Product Management

Inglese · Copertina rigida

Spedizione di solito entro 6 a 7 settimane

Descrizione

Ulteriori informazioni

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.

Sommario

1. The Data Age.- 2. Data-Driven Decision-Making (DDDM).- 3. Data - Information - Knowledge.- 4. The DDDM Process.- 5. Peers and Environment.

Info autore

Gabriel Steinhardt is Blackblot's founder and an international technology product management expert, author, lecturer, and developer of practical tools and methodologies that increase product managers' productivity.
A marketing and information systems MBA with over two decades of experience in product management with technology products, Gabriel has assumed diverse leadership roles with major corporations and start-ups in marketing, product management, and technical undertakings.
Gabriel is the developer of the Blackblot Product Manager's Toolkit® (PMTK) product management methodology, a globally adopted best practice.

Dettagli sul prodotto

Autori Gabriel Steinhardt
Editore Springer, Berlin
 
Lingue Inglese
Formato Copertina rigida
Pubblicazione 01.03.2025
 
EAN 9783031746635
ISBN 978-3-0-3174663-5
Pagine 101
Dimensioni 148 mm x 10 mm x 210 mm
Peso 255 g
Illustrazioni XV, 101 p. 9 illus.
Serie Business Guides on the Go
Categorie Scienze sociali, diritto, economia > Economia > Management

Data Science, Big Data, Datenbanken, Wahrscheinlichkeitsrechnung und Statistik, Operations Management, Product management, Methodology of Data Collection and Processing, DDDM, Data inventory, Data design and analysis, Query design and formulation, Data science retention drill, Data reliance

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