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

by Gabriel Steinhardt

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.

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Year of publication:	2024
Authors:	Steinhardt, Gabriel
Publisher:	2024.: Cham : Springer Nature Switzerland 2024.: Cham : Imprint: Springer
Subject:	Product management \| Data design and analysis \| Data science \| Data science retention drill \| Data reliance \| DDDM \| Data-Driven Decision-Making \| Data inventory \| Query design and formulation \| Big Data \| Big data \| Produktmanagement \| Künstliche Intelligenz \| Artificial intelligence \| Datenqualität \| Data quality \| Informationsmanagement \| Information management \| Entscheidung \| Decision \| Daten \| Data
Description of contents:	1. The Data Age -- 2. Data-Driven Decision-Making (DDDM) -- 3. Data – Information – Knowledge -- 4. The DDDM Process -- 5. Peers and Environment.