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

Data analysis

Input data is usually long. There are hundreds (or thousands) of rows and dozens of columns. Just scrolling or filtering input data does not help us understand what is happening. We need to summarize the data first – convert thousands of rows into a few rows and columns (or values) with totals, averages, and ratios. We do so by following these steps:

  1. Use the Analyze Data option in Excel.
  2. Create reports using PivotTables and PivotChart.
  3. Create interactive reports using Power BI.

Before we learn all this, what if your data is already small and summarized? In this case, just use Quick Analysis in Excel. It is a powerful way to understand data instantly.

Quick Analysis

If the data is small enough, we can analyze it easily. Remember that we want to learn all possible useful things from the data. Excel gives us a powerful way of looking at the same data from different points of view – with minimal effort. This is Quick Analysis....