Live online course

CI102 Intermediate Use of IDEA Data Analysis

The CI102 Intermediate Use of IDEA Data Analysis training course introduces advanced analytical techniques that will enable delegates to utilise IDEA to solve their own complex problems.

The course contains a number of comprehensive audit/testing scenarios of increasing complexity, each of which covers some of the more challenging real-life data issues that users may face. 

Pre-course requirements

Delegates should be fully conversant with the CIDA foundation level functionality covered in CI101 Introduction to IDEA Data Analysis. Intermediate Training builds rapidly on the basics as we move swiftly into more advanced testing scenarios.

Outlined agenda

Personnel Audit

  • Analysis of Leavers
  • Conflict of Interest
  • Diversity
  • Equal Pay
  • Unusual Salaries and statistical outliers

Stock Control

  • Re-ordering analysis
  • Statistical analysis of performance
  • Valuation analysis

Local Authority Benefit Fraud

  • Multiple claims
  • Advanced duplicate detection and text searching

Statistical Analysis and Sampling

  • Benford’s Law
  • Correlation
  • Monetary unit sampling

Who should attend?

Delegates are expected to be self-starters who are confident at ‘having a go’ at solving more complex data relationships. However, the course is designed to ensure that no-one is left behind. At each stage of increasing complexity, solutions are provided to enable every delegate to keep on track and follow best practice.

Contact the team arrow_forward
Related product IDEA
Duration
event 4 afternoon sessions

Dates & Locations

Part 1

  • Mon, Feb 12 1:00 - 5:00 pm Online
  • Tue, Feb 13 1:00 - 5:00 pm Online
  • Wed, Feb 14 1:00 - 5:00 pm Online
  • Thu, Feb 15 1:00 - 5:00 pm Online

Part 2

  • Tue, May 7 1:00 - 5:00 pm Online
  • Wed, May 8 1:00 - 5:00 pm Online
  • Thu, May 9 1:00 - 5:00 pm Online
  • Fri, May 10 1:00 - 5:00 pm Online

Part 3

  • Mon, Nov 11 1:00 - 5:00 pm Online
  • Tue, Nov 12 1:00 - 5:00 pm Online
  • Wed, Nov 13 1:00 - 5:00 pm Online
  • Thu, Nov 14 1:00 - 5:00 pm Online