Mark Meuldijk

From stone age to digital age in internal controls

Smaller companies and larger organizations alike are discovering innovative ways to cut the cost of controls, increase control quality and make internal controls more attractive.

From predictive to prescriptive analytics

Companies still struggle to make better, data-driven decisions, despite more powerful (big) data infrastructures and the availability of sophisticated predictive analytics, AI and machine learning methodologies.

An inconvenient truth: Companies are struggling with technology in audit

How well companies implement technology in audit depends upon how well they’ve dealt with the basics. And more often than not, there’s still a lot of work to be done. What should you consider before moving forward with technology in audit?

New generation: the data-driven auditor

How to audit the massive data volumes that companies nowadays process in their financial IT systems? The answer is obvious and recognized by financial auditors: data analysis. The challenge for an audit firm to become successful in data driven audits is not the technology, but to re-design the traditional audit approach.