Book Image

Data Analytics Made Easy

By : Andrea De Mauro
4 (1)
Book Image

Data Analytics Made Easy

4 (1)
By: Andrea De Mauro

Overview of this book

Data Analytics Made Easy is an accessible beginner’s guide for anyone working with data. The book interweaves four key elements: Data visualizations and storytelling – Tired of people not listening to you and ignoring your results? Don’t worry; chapters 7 and 8 show you how to enhance your presentations and engage with your managers and co-workers. Learn to create focused content with a well-structured story behind it to captivate your audience. Automating your data workflows – Improve your productivity by automating your data analysis. This book introduces you to the open-source platform, KNIME Analytics Platform. You’ll see how to use this no-code and free-to-use software to create a KNIME workflow of your data processes just by clicking and dragging components. Machine learning – Data Analytics Made Easy describes popular machine learning approaches in a simplified and visual way before implementing these machine learning models using KNIME. You’ll not only be able to understand data scientists’ machine learning models; you’ll be able to challenge them and build your own. Creating interactive dashboards – Follow the book’s simple methodology to create professional-looking dashboards using Microsoft Power BI, giving users the capability to slice and dice data and drill down into the results.
Table of Contents (14 chapters)
10
And now?
12
Other Books You May Enjoy
13
Index

The art of persuading others

Being right is not enough: this is the plain and sometimes upsetting reality faced by many data practitioners who cannot have their points—however truthful and insightful—heard and accepted by those in charge. As we saw in the first chapter, there are multiple routes for leveraging data analytics to create economic value, which we called data-to-value paths. In most cases, to create value, we need data to influence others to make the right decisions or take the appropriate actions. Think about this now: all you have seen so far in the book—all the efforts to transform your data, find insights, and build robust models—will sadly remain useless if we miss the last bit of the chain, which is impacting the actions of others. It is in our best interests to protect our work from becoming irrelevant by driving it all the way through to action, without making the naïve assumption that "it is enough to do the math work.&quot...