Risk Analytics

In today’s fluid, fast-paced business environment the amount of domestic or cross-border business travel demanded of employees continues to rise. This represents challenges for the employee and the employer alike. At the same time, there is an acknowledged need for greater visibility and control over the Travel and Expenses (T&E) process.

The Deloitte Preventive analytics solution is built upon an advanced machine learning platform. It leverages machine learning models that data scientists and developers use to relate transactional data to fraud/control exceptions data. This makes it ideal for situations that require highly personalized and customized outputs to prevent an occurrence of activity which is not in line to business environment leading to frauds and leakages. We have developed highly effective algorithms that can be tailor-made for identifying root causes for your specific business problem.

Finance is an ever-evolving function. As the operating environment becomes more complex and dependent on data from multiple systems, the function poses risks from multiple fronts. In such a dynamic business landscape, traditional methods of reviewing underlying transactions for financial closure and overseeing activities for quality control and reconciliation seem inadequate on multiple fronts. These methods are error prone, slow, difficult to deliver, and resource intensive.

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The need to leverage large amounts of data in the pharma industry is growing exponentially.
Our sector customised risk analytics solution hub, Pharma Analytics, enables organisations to anticipate risk and maximise business opportunities through data-driven insights. These high-quality insights presented through analytics dashboards for core and support business processes help in effective business decision-making by the CXOs. They aid in better risk management and result in an improved control and governance environment.

Transforming large piles of disorganized data into business insights helps improve business agility and processes in unprecedented ways. This is more applicable for businesses with a high volume of transaction data. Deloitte's Risk Analytics applications are designed to extract meaning from large volumes of data and drive efficiency in resource allocation.

Freight spend analytics solution is managed analytics application that helps companies identify overall trend of spend, outliers, and exception to contractual terms.

With advent of integrated audits and the importance which regulators places on internal controls, enterprises are looking at options to make more effective and efficient internal control environments.

The Procure to Pay process (P2P) remains one of the most complex business processes, often spanning accross multiple systems and operations. Despite the level of automation, including enterprise resource planning (ERP) implementations, P2P remains an area prone to fraud, money leakage, and inefficiencies. Since it is one of the most critical business processes which involves huge cash flows, visibility into the entire life-cycle of a transaction from vendor selection to the final invoice generation and payments with adjustments becomes a challenge for the business.