Book Image

Efficiency Best Practices for Microsoft 365

By : Dr. Nitin Paranjape
Book Image

Efficiency Best Practices for Microsoft 365

By: Dr. Nitin Paranjape

Overview of this book

Efficiency Best Practices for Microsoft 365 covers the entire range of over 25 desktop and mobile applications on the Microsoft 365 platform. This book will provide simple, immediately usable, and authoritative guidance to help you save at least 20 minutes every day, advance in your career, and achieve business growth. You'll start by covering components and tasks such as creating and storing files and then move on to data management and data analysis. As you progress through the chapters, you'll learn how to manage, monitor, and execute your tasks efficiently, focusing on creating a master task list, linking notes to meetings, and more. The book also guides you through handling projects involving many people and external contractors/agencies; you'll explore effective email communication, meeting management, and open collaboration across the organization. You'll also learn how to automate different repetitive tasks quickly and easily, even if you’re not a programmer, transforming the way you import, clean, and analyze data. By the end of this Microsoft 365 book, you'll have gained the skills you need to improve efficiency with the help of expert tips and techniques for using M365 apps.
Table of Contents (15 chapters)
1
Section 1: Efficient Content Creation
7
Section 2: Efficient Collaboration
10
Section 3: Integration

Chapter 4: Intelligent Data Analysis

Now that we know how to manage documents efficiently, let's think about managing data. With documents, we have content and formatting. Here, we have data gathering, data cleanup, and analysis. We should not waste time and effort on cleanup; rather, we should focus all our energy on effective analysis. Let's start with a simple question – what exactly is analysis?

Analysis means trying to learn all possible useful things from the data, and then using that knowledge to take actions that can improve the future.

This simple but powerful definition will help you to learn and use Excel, Power BI, and any other data analysis tool efficiently.

In this chapter, we will learn about four apps: Lists, Forms, Excel, and Power BI.

The following table depicts the specific purpose of these apps: