New technologies based on machine learning, predictive analytics and big data can bring significant improvements to your processes.

For example, new techniques in customer analytics can help you to reduce churn, automate targeted marketing actions and forecast demand. New approaches in fraud detection can help you to transition from rule-based to machine learning systems that adapt in real-time to an ever-changing environment. Meanwhile, a model review can increase trust that the company’s algorithms are both regulatory compliant & optimally performant.

Leveraging our multidisciplinary technical expertise, international network and specialist ecosystem, KPMG can help you to implement the most up-to-date analytical techniques to solve your specific business challenges.

The world’s most valuable resource is no longer oil, but data, and in order to create value from data, advanced analytics & machine learning are key.

- Peter Van den Spiegel

Challenges

In the next decade, advanced analytics & machine learning are expected to broadly impact daily business operations and provide tangible benefits. But before realizing its true potential, many industries and enterprises will have to navigate challenges such as the lack of understanding of technology capabilities and lack of skills, which are both needed to increase adoption and deployment.

At the same time, using machine learning systems to make business decisions can provide significant opportunities (e.g. productivity gains, reduced costs, increased revenues) and companies need to make sure these decisions can be trusted.

Inaccurate or biased results can have significant negative consequences for all stakeholders and the seemingly inexplicable nature of some machine learning models (i.e. black box) can slow down the adoption of these amazing technologies. This means that machine learning systems need to respect four pillars of trust (i.e. integrity, resilience, fairness and explicability) so that the risks emerging from implementing new technologies can be managed.

How we can help

Ultimately, our focus is on providing the skills and services your company needs to make your organization ‘analytics-ready’.

Multidisciplinary teams - composed of data scientists, regulations specialists and industry experts - can help you to create the strategy and operating model for successful and sustainable analytics programs.

By re-thinking the way you work, embracing radical innovation and leveraging new technologies, you can implement trusted analytics projects that maximize efficiency.

With the strength of our global network, KPMG member firms know how to help organizations achieve the agility they need to adapt to the cultural changes that analytics delivers, within an ethical framework that helps manage its responsible implementation. Even with a technology-led transformation, KPMG always keeps the human element in mind.

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Fraud detection

To improve fraud detection that takes into account the rule-based systems still currently used in the industry, we help our clients to implement Machine Learning technologies that adapt in real-time to an ever-changing environment.

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Model review

We help our clients to ensure that their company’s algorithms are both regulatory compliant and optimally performant, submitting them to an external review by a multidisciplinary team composed of data scientists, regulations specialists & subject-matter experts.

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Customer analytics

By leveraging the power of predictive analytics to reduce churn, automate targeted marketing actions and forecast demand, we help our clients to optimize the customer experience while reducing costs and generating more leads.

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