Big Data

Summary

Everybody is talking about 'big data' but what does it actually mean? If harnessed correctly, 'big data' represents an opportunity to grow or improve business operations.

This course is provided by a third party provider accountingcpd.net and the fee charged is exclusive of VAT.  Training tickets are not applicable on this product. 

Venue details:  
Online, ,
Start date & time:  
01 January 2019 00:00
End date & time:  
01 January 2022 00:00
Price: €85.00  (€85.00 Member price)
By registering for this course you have accepted the terms and conditions
CPD hours:  
4.00
Speaker details
First nameLast name
AccountingCPD. net

Description

Product type:  
CPD online course
Category:  
Finance, management reporting and analysis

Course overview

Wrong assumptions

  • What are the foundations of bad data?
  • What wrong assumptions do we make?
  • Why do we assume we know the answer?
  • Why do we assume cause and effect?
  • What are the problems with targets?
  • What are the problems with ranking performance?

Confusing data presentation

  • What types of data presentation can cause confusion?
  • What's the problem with using single-point comparisons?
  • Why aren't Red, Amber, Green displays useful?
  • What are the risks of using ratios and percentages?
  • What are the problems with averages and rolling averages?
  • Why aren't pie charts useful for measuring performance?
  • Why should we avoid using spider diagrams?
  • How can too much or too little data cause confusion?
  • How can measuring productivity drive bad data?

Effective data presentation

  • What are the principles of good data analysis?
  • What are the tools of clean data?
  • What is a run chart?
  • What does a control chart show?
  • What can a control chart tell us about variation?
  • How do we construct a control chart?
  • How should we express percentages and ratios?
  • What is the Pareto chart?
  • What do histograms show?
  • How do these tools aid effective performance analysis?

Using data to improve performance

  • How do we analyse performance data?
  • How do we monitor cost control?
  • How do we improve cost control?
  • What is the structure for performance management?