Thursday 11 May 2017

Microsoft Excel Data Validation Tools - Keep out Bad Data from the Start, Simplify Data Entry and Ensure Accuracy with this Powerful Feature


In this enlightening session, Excel expert Dennis Taylor will enumerate how you can control data entry by formulas, provide drop down lists that eliminate time-consuming and error-prone typing mistakes, control numeric data based on date and time constraints, and identify unwanted data by applying data validation rules on existing data by using Excel’s Data Validation tools.

Also explains how to implement a variety of techniques to create spreadsheets that are interactive, accurate, and user friendly. Learn easy ways to simplify data entry and understand how to control data input of other users. Save time and effort by minimizing spreadsheet maintenance.

Using Data Validation, one of the tools provided with Excel allows you to ensure that the data in your workbook is within specific bounds, and therefore of a higher quality than unchecked data. This tool is referred to as data validation, and it allows you to set the bounds applicable to your data. i.e; Make a list of the entries that restricts the values allowed in a cell, Create a prompt message explaining the kind of data allowed in a cell, Create messages that appear when incorrect data has been entered, Check for incorrect entries by using the Auditing toolbar, Set a range of numeric values that can be entered in a cell, Determine if an entry is valid based on calculation in another cell.

You will learn how to restrict cell content by forcing users to pick entries from a pick list, how to restrict cell content by value, text, or data/time, how to restrict cell content by formula, and how to use auditing tools to check the validity of existing data

This webinar will provide valuable assistance to nearly all Excel users - it is not industry specific, but is perhaps more widely used in banking, finance, and related fields, marketing, sales, Investments, Pharmacy, Accounts, Audit, Credit Unions and Mortgage.

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