Read the article about Data Validation tips within Excel - Murray, A. (2018, March 10). 11 Awesome examples of data validation. How to Excel. 1. Why is data validation important? 2. Pick one of the data validation tips: • How does this tip validate the input data? • When and why would you use this tip?

Management, Loose-Leaf Version
13th Edition
ISBN:9781305969308
Author:Richard L. Daft
Publisher:Richard L. Daft
Chapter19: Managing Quality And Performance
Section: Chapter Questions
Problem 3CFCA: Cousins Jeri Lynn De Bose, Tish Hoover, and Josephine (Joey) Parks looked forward to meeting up...
Question
Read the article about Data Validation tips within Excel - Murray, A. (2018, March 10). 11 Awesome examples of data validation.
How to Excel.
1. Why is data validation important?
2. Pick one of the data validation tips:
• How does this tip validate the input data?
• When and why would you use this tip?
Transcribed Image Text:Read the article about Data Validation tips within Excel - Murray, A. (2018, March 10). 11 Awesome examples of data validation. How to Excel. 1. Why is data validation important? 2. Pick one of the data validation tips: • How does this tip validate the input data? • When and why would you use this tip?
Expert Solution
Step 1

Business today has changed a lot since many advancements took place over the years. These advancements and transitions have helped organizations greatly in accomplishing even the most difficult and complex objectives. MS-Excel is one of the most popular business application software that is being used by various organizations. It has helped companies to store a large amount of data and easily sort through it when any information is required. It has multiple features to process data correctly and even create graphs to finally understand the trend of the data patterns. In all business fields, whether it is finance, marketing or statistics, or research and operations, excel is required everywhere. Most businesses in the current era, rely on this software only to provide the actual results by interpreting the correct quality of data.

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