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Audit transformation through data analytics

M&A, audit & deal work Completed

Increased audit efficiency by 20% and inventory-testing performance by 30% by directing audit work towards material entries and control exceptions.

  1. The problem

    Manual, time-intensive procedures made material entries and workpaper errors difficult to surface early.

  2. My role

    Analysed journal data to concentrate procedures on material entries and exceptions.

  3. Where it stands

    Audit efficiency increased by 20% through optimised PCAOB documentation; inventory testing performance improved by 30% for an aerospace engineering client.

Results and evidence

+20%
Audit efficiency
+30%
Inventory testing

Source notes

Increased audit efficiency by 20%.

Applied journal analytics and optimised PCAOB documentation.

Business impact

Improved audit speed and reliability by surfacing material entries earlier.

How I did it

  1. 01

    Improved PCAOB documentation and used Excel controls to identify workpaper errors.

Tools and working context

PwC UK Audit Transformation team; PCAOB and JSOX clients across Europe and the US.

Tools
Excel · Audit analytics
Business area
Audit
Skill type
Finance · Data & Reporting

Why I made these choices

  • Used exception-led journal analysis to focus effort where financial risk sat.

Skills used

  • Training & enablement Ways of Working Strong

Full skill evidence →

What I learned

  • Audit analytics creates value when it redirects attention to risk rather than only automating existing steps.

What comes next

  • Apply the exception-led method to current finance controls and automation.

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