Bad Data in Performance Measurement


Confusing data can lead to bad decisions and money lost, especially in corporate data and management reports. In this course, explore how confusing or misrepresented performance data can lead to incorrect conclusions. Purchase this course online

This course is provided by a third party provider and the fee charged is exclusive of VAT.

Venue details:  
Online EU, ,
Start date & time:  
01 January 2021 00:00
End date & time:  
01 January 2022 00:00
By registering for this course you have accepted the terms and conditions
Training ticket cost:  
3.50 Training Tickets accepted
CPD hours:  
Speaker details
First nameLast name
AccountingCPD. net


Product type:  
CPD online course
Category:, Financial reporting

Booking with a Training Ticket

Once you have booked your course, you will receive an email with your booking confirmation. The steps you will need to follow to access your online course will arrive in a separate email within 48 hours of your order being processed.

Please be aware that participants will have access to this course for 120 days from the date of receiving access via email notification

Course Overview

Dodgy data is all around us. From marketing surveys carried out by companies to show their brands are the best to newspaper headlines that skew scientific reports to make a splash. Sometimes the data is deliberately manipulated to give the required answer, and sometimes it is carelessness or a lack of understanding of how data works.

The same is true of corporate data and management reports. At the very least, the careless use of management information can lead to confusion rather than clarity. At worst, bad data leads to the wrong decisions being made and money being lost. This course illustrates how performance data can be presented and analysed so that the correct conclusions can be reached and more effective action taken.


This course will enable you to:

  • Explore how misguided assumptions and certain presentation methods can lead to incorrect conclusions about performance data.
  • Consider the characteristics of "good" data analysis and presentation.
  • Develop skills in data presentation to ensure you reach the correct conclusions about performance data.
  • Build confidence in your data analysis and presentation skills to utilise data and manage performance more effectively.