Solutions

Risk Analytics

Deloitte's Risk Analytics service advises organisations on how to effectively mitigate risk, and make informed and intelligent risk decisions around business processes, technology and operations.

We take pride in taking an integrated approach, combining specialist insight and innovation across multiple disciplines including analytics, controls and resilience. Our business and industry knowledge helps you seize the opportunity to better manage your risks across a diverse range of topics, from Compliance to Process Transformation.

Together, we help organisations take an intelligent approach to risk. 

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Advanced analytics: Key enabler for upgrading to IA 3.0

The case for advanced analytics

Deloitte’s 2018 CAE survey indicated that use of advanced analytics has tripled from seven percent of Internal Audit functions (noted during the 2016 survey) to 21 percent. However, at only a 21 percent adoption rate, there is a huge scope for the incorporation of advanced analytics into IA functions. The survey also reflected that analytics is underutilised in audit planning, and continuous auditing should increase. The results indicate that, in practice, analytics is most often deployed during fieldwork and, less often, in higher-impact activities such as audit scoping and planning.

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Travel and Expense Controller

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.

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Preventive analytics

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.

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FinRisk Analyser

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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Procure to Pay analytics

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.

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Pharma Analytics

The most daunting question for pharmaceutical companies with recent shift towards consumer oriented markets and rapid spurt of new contenders in generics market, is how to ensure ‘cost transparency’. Be it the release of a new pharmaceutical, or cost of servicing a customer (doctor/hospital), understanding the cost relationship and driver maintaining the optimum level of visibility is the need of the hour.

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RoadRevenue Maximiser

Today, data analytics drive virtually every aspect of the business, from pricing to road asset management to fraud prevention. To capture the value that analytics can offer, management needs ready access to relevant data, along with the tools to uncover data insights that improve decisions and performance. Today, global organisations are using machine learning algorithms and other advanced analytics techniques to gain actionable insights from the massive data generated each day to evaluate real-time risks and avoid costly delays.

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Data Explorer for Road Assets

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.

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Freight Analytics

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

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Continuous Control Monitoring

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.

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Cement Industry

India is the second largest producer of cement in the world. No wonder, India's cement industry is a vital part of its economy, providing employment to more than a million people, directly or indirectly. Ever since it was deregulated in 1982, the Indian cement industry has attracted huge investments, both from Indian as well as foreign investors.

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