Technology and Digital Solutions

Our technology and digital solutions cover everything from cyber security to GDPR to Data Analytics. As part of a global team, we provide support across jurisdictions, drawing on local knowledge and global expertise.

IT consulting

In order for businesses to be able to provide a consistent and high-quality service or product, IT operations need to operate smoothly and efficiently. We help clients define and align their IT strategy to meet their business objectives and manage the overall change initiative. We assist in solving problems across our client’s entire IT value chain by developing an IT roadmap for strategy, optimising the portfolio of IT applications, adopting or migrating to the cloud, refining the IT architecture across the technology landscape, improving the IT function through operating models, optimising the cost and developing metrics for IT.

ERP consulting

At Mazars, our Enterprise Resource Planning (ERP) consulting teams support and advise management and finance departments at all levels during implementation and optimisation projects. Our goal is to help implement the tools so that they reach their objectives to the fullest, and do so without creating any other risk.

We advise on key areas to uncover the risks related to the implementation of a new system, backed by our deep expertise in governance, internal control and security. Our consultants can help you before the project has even begun in order to assist your teams and avoid any corrective work.

Data analytics

We deploy disruptive and highly innovative data-driven solutions that solve companies' most complex and critical business issues, while generating significant incremental and measurable value. Our unique method of prescriptive analytics modelling brings you the most insight and value from your data. We advise our clients on adopting frameworks on how they collect and process, manage, store and utilise the data for better decision making. We also help analyse the quality of the data, using tools and models to enhance data quality, and analysing the data to spot patterns and provide valuable insight.

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