What to read after Data Science for Decision Makers & Data Professionals: Creating an Intelligent, Data-Driven Organization with AI, BI & Big Data?

Learn how to embed data science, Big Data and AI in your organization's decision-making process and make your organization more data-driven, profitable, and intelligent in 10 steps.

Book description
This book covers every aspect of the implementation of data science, from the algorithms that make your decisions more refined, effective and faster to the people, skills, culture, and mindset required to make it happen. How do you set the right KPIs and targets? How are the best data-driven organizations structured? Why do you need a data warehouse or data lake? How do you manage a data science project? This book tackles every question relevant to implementing data science.

Many organizations start by collecting data without a goal, but that data science approach is doomed to fail. This book takes you through the process of implementing data science from the ground floor all the way to the top. It all starts with the question: what do we want to achieve? It covers all the subsequent steps on a macro and micro level, from the process of registering data, to processing it, to the organization's response.

All the relevant data science techniques and technologies are discussed, from algorithms and AI to the right management strategies. Based on many practical case studies and best practices, this book reveals what works and what doesn't. Benefit from the author's many years of experience in making organizations more intelligent and data-driven as a consultant and an educator.

What you will learn
- The most important benefits of data science.
- The essential aspects of decision making and the role of data science.
- How to determine the right KPIs and use them to manage effectively.
- How to turn data into knowledge and information.
- How to make your organization more agile.
- The many types of algorithms that can be used to make more effective decisions on every level.
- How to manage data science projects - who and what do you need to effectively implement data science?
- How to design a data science roadmap.
- And much, much more.

Who is this book for
This book is for every manager or professional, and all those who want to learn how to embed the effective use of data science in every facet of the organization. This comprehensive management handbook is a must-read for (business) consultants, business managers, Chief Data Officers (CDOs), CIOs, and other executives, project managers, Data Science consultants, Data Scientists, AI consultants, (business) controllers, quality managers, and BI consultants.