Tkachenko N Data Insight Foundations Step-by-Step Data Analysis with R 2025 | 10.88 MB
Title: Data Insights Delivered: 7 Proven Steps to Understand Stakeholders, Manage Expectations, and Deliver Actual Value
Author: Mo Villagran
A must-read for all data professionals tired of guessing what stakeholders want.
Data Insights Delivered details 7 Proven Steps to help you understand stakeholders, manage expectations, and deliver actual value.
Mo Villagran is an experienced business analytics veteran. She has worked in healthcare business across sectors, such as Medicare fraud detection with the FBI, insurance pricing, and genetic research since 2012. Having engaged over 100 stakeholders in different fields, she shares all her secrets to succeed in difficult and often impossible situations data professionals face in data analytics.
Data professionals often find it impossible to deliver actual value because:
There is a severe lack of communication with stakeholders
The marketing hype leads to unrealistic expectations
Most data products go unused
This book will teach you 7 proven steps to have better communication with your stakeholders, always know what they want, and deliver something they will actually use!
You’ll feel confident through every stage of a data project, from kickoff meetings to final delivery. You’ll learn about the common stakeholder challenges and how to address them, as well as data team structure and budget planning to increase collaborations.
Whether you’re a data scientist, data analyst, or project manager, this book is your ultimate guide to managing your data projects with confidence and pleasure.
Don’t miss out on the opportunity to become indispensable to your stakeholders. You’ll never need to prove your value again!
Data Insights Delivered is ultimately a book about taking responsibility. It is a tale of leadership, and how data leaders can and must step up to deliver business value to their organizations. Villagran offers 7 common sense lessons learned based on hard-won experience gained over time by a seasoned data practitioner.
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