Data-driven Decision-making for Product Managers
A Primer to Data Literacy in Product Management
Steinhardt, Gabriel.
creator
author.
aut
http://id.loc.gov/vocabulary/relators/aut
SpringerLink (Online service)
text
sz
2024
1st ed. 2024.
monographic
eng
access
XV, 101 p. 9 illus. online resource.
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.
1. The Data Age -- 2. Data-Driven Decision-Making (DDDM) -- 3. Data – Information – Knowledge -- 4. The DDDM Process -- 5. Peers and Environment.
by Gabriel Steinhardt.
Production management
Big data
Sampling (Statistics)
Operations Management
Big Data
Methodology of Data Collection and Processing
TS155-194
Springer Nature eBook
Business Guides on the Go
9783031746642
https://doi.org/10.1007/978-3-031-74664-2
https://doi.org/10.1007/978-3-031-74664-2
241126
20251030113327.0
978-3-031-74664-2