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

Tutorial: Sales report automation

In this tutorial, you will impersonate the role of a business analyst working for a UK-based online retailer, selling all-occasion gifts. You are intrigued by data analytics and are reading a few (good) books about its potential. You have set for yourself the ambition of progressively amplifying the role of data analytics in the company by leveraging your new skills. You decide to start from something relatively simple: automate and improve the reporting of sales data. By doing so, you want to make a quick and visible impact and instill an appetite for more advanced analytics in your colleagues and managers, unlocking interest and investments.

The company you work for has grown quickly and didn't have the opportunity to adopt a sustainable business intelligence solution. The regular reporting is managed manually using Excel. The poor finance analyst responsible for it pulls data from the company website every Friday and, after a couple of hours...