Assurance Services

Structured data is everywhere. Your business is sitting on mountains of it. You may have duplicate procurement entries amounting to full percentage points of your total expenditure. You may deal with ghost vendors that exist nowhere other than on your accounts. Your expense controls may be being flouted on a regular basis. There may be chains of payments circling between entities that cost you dearly, yet make others rich. Your well thought out compliance framework may be exposed by those who are simply not following the rules. Making sense of large volumes of structured data is not a simple task.

All meaning depends on the key of interpretation. Data can present itself in many ways and the skill in making a correct interpretation is in knowing what to look for and how to look. Much structured data is buried in systems that were designed to support operational processes and which do not lend themselves well to examination. To assess them correctly one must understand the models upon which they are built and interpret the real-world actions which gave rise to the data that is stored. One must also look beyond the literal to the embroidered webs woven to disguise inappropriate behaviours. To not do so is a failure in understanding of what forensic data analysis is about.

Our approach is underpinned by a range of enablers which embody our industry, sector and delivery expertise. The analytical operations we employ are determined by the nature of the data we are presented with and the hypotheses we are looking to examine. There is no out of the box solution to the majority of situations we are faced with and so we use our expertise to develop solutions that fit. Our analytical techniques and environment have been designed to ensure we employ leading edge procedures whilst retaining our flexibility and agility.

Learn more about how our Forensic Data Analytics practice can help put your mind at rest when dealing with structured data analysis challenges.

If you have any queries about Forensic Data Analytics, please contact Julie Fenton or Eoin O'Reilly.