Our team offers several data analytics and data modelling-based solutions to empower organizations to transition into making insight driven decisions as follows:

• Process Red Flag Analytics 

Provides a comprehensive assessment of process red flags and open risks delivered through a granular review of transactional data. Key stakeholders can leverage this offering to monitor risks, controls, and process anomalies in close to real time for up to 100% of transactions. Red flags are customizable based on organization size, complexity, industry, and technology environment.

• Data Visualization and Management Reporting Dashboards 

Management reporting dashboards enable organizations to help visualize their data to describe the underlying story and provide timely and true insights that matter. Curated dashboards for almost every head of department, segment or region can be can facilitate active monitoring and informed decision making. 

• Data Quality Assessments

Our specialists can help organizations determine “how good their data is” by assessing the key data quality dimensions: Accuracy, Completeness, Reliability, Consistency, Relevance, Accessibility and Timeliness. An advanced suite of tools and analytical techniques profile voluminous data to discover anomalies potentially crippling related processes, decision making and management reporting.  

• Dashboard Assurance

Modern organizations are increasingly making use of internal dashboards for monitoring and reporting purposes, however, lack processes and controls to ensure that the dashboard reported data is complete and accurate. Critical aspects such as layout, design, visualization selection, data ETL, performance, refresh times and data security can be complex. Our team provide organizations the comfort that the finalized visuals are accurate, complete and truly insightful and performance is optimized. 

• General Ledger Analytics 

General Ledger analytics uses a combination advanced transactional analytics overlayed with a visualized solution on 100% of the general ledger data to identify potential transactions of a suspicious nature indicative of management override or potential fraud. Developed with the expertise of Financial Auditors across various industries and regions, the analysis applies a robust risk lens over journal transactions to deliver powerful GL insights. 

Algorithms are now used extensively across a number of industries, and the pace of adoption is advancing rapidly. Whilst they bring many benefits it’s essential to manage the risks algorithms can create.

With new and quickly evolving technology, regulations and guidelines are still developing, which can create a challenging accountability, transparency, and compliance landscape for algorithms.

Our team can help organisations with our range of audit and assurance expertise in algorithm technology, risk management and coding skills. Our approach gives careful consideration to relevant regulatory requirements and industry standards and leverages of our proprietary algorithm control framework and validation methodologies, which we have developed while working across different industries and sectors.

Robotic Process Automation (RPA) has been an increasingly prominent avenue for organizations aiming to digitize labor and operations. While swift results and efficiency metrics can be enticing, Deloitte partners with companies to help identify relevant risks, ask the right questions and identify processes and controls that need streamlining, all of which can help pinpoint issues early and ensure a positive and sustained return on investment. For organizations that have already completed an RPA implementation, our team performs a comprehensive technical and functional review of the bots at play and provides assurance on their accuracy and performance. 

As AI technologies are more widely adopted across organizations, there is an increasing need for a range of stakeholder, including developers, management, frontline users and regulators to obtain sufficient comfort that these tools are functioning as expected, in a way that is compliant with standards. The emerging area of AI assurance includes practical capabilities to demonstrate this assurance to such stakeholders. 

AI Assurance includes an independent review of your AI model to:

• asses if the business requirements are sufficiently incorporated,
• if recent changes have had an impact on the model, and
• to compute rich metrics to measure model performance