Organisations have access to more data than ever and are increasingly placing focus on the use of this invaluable resource to drive strategic-decision-making. By leveraging the power of analytics, organisations have saved costs, increased operational efficiency and placed focus on strategic priorities. Gartner predicts over 50 percent of new business systems will be using analytics integrated with business operations by 2022.
The experienced PKF team helps clients in their adoption of analytics – providing you with guidance, solutions and frameworks to develop, improve or accelerate your analytics strategy.
We work with businesses in various stages of their analytics journey and are equipped with both the technical and accounting knowledge to help you reach your end-goal.
Uncovering key financial, operational, regulatory and other risks in your underlying business processes. Typical examples include anomaly detection, regulatory compliance reviews and business process reviews.
Enabling stakeholders to make data-driven decisions, and predicting future results based on past performance, external factors and key assumptions. We are highly skilled in predictive analytics, forecasting and decision-making/decision-support.
Enabling you to understand existing fraudulent transactions and build models to pre-empt recurrence, harnessing the power of machine learning and predictive modelling for fraud detection and anomaly detection for fraud identification.
Link to Fraud Prevention page for more information
All organisations are at different stages of maturity in their use of data analytics. We will work with you to identify your current data frameworks and help you to identify where you would like to be in the future. Using our established maturity framework, we will work with you to build a customised plan that suits your needs and work at a pace that is comfortable for you.
To find out more about how we can help you on your analytics journey, read our article.
Click on the tabs below to read some examples of how we have helped our clients.
We transformed the risk advisory process for an insurance company, replacing traditional ad-hoc analysis with end to end data driven analysis.
Key benefits to the client included enabling risk management functions to perform 100% reviews of business processes vs traditional processes which yielded less than 1% coverage, providing business unit heads with a one-stop report of the key business issues and enabling quicker decision making and more focus on strategic risk management of critical processes.
We re-designed the process of income and customer analysis for an organisation through automated data analysis and reporting.
Key client benefits included helping the organisation better understand its business health with a clear profile of income streams and customer segments – and providing stakeholders with accurate reporting on their return on investment.
We developed state-of-the-art business intelligence models for SMEs for monthly financial reporting. The model provided cloud-based interactive dashboards, customised to reflect business needs and operations. The dashboards provided different levels of detail for business leaders and their teams.
Key client benefits included enabling them to have a high-level view or delve into the detail as required – and enhancing the reporting with best-in-class visualisations to report KPIs and respective analysis.
We performed an in-depth analysis of various disparate sources of customer data to identify anomalies and report on fraudulent activities for a manufacturing company. We built a machine learning model to understand fraudulent patterns and behaviour, and predict potential instances of fraud in the future.
Key client benefits included providing assurance to the board on the accuracy of the financial information and enabling pre-emptive and proactive fraud management rather than reactive management.