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      The digitalisation of entire areas of life is leading to a flood of data. The amount of information doubles every two years. Innovative approaches are needed to transform these unstructured data volumes into meaningful insights and competitive advantages for companies.

      KPMG's experts in the field of data and technology will support you in this endeavour.

      Data analysis has been part of KPMG's core business for over 100 years. This many years of experience, combined with our unique data pool, makes us the ideal partner for all questions relating to this subject area. We know exactly what challenges our clients are facing and what is driving the market.

      Unlocking value with data

      The experts at KPMG offer you valuable insights for your transformation process. Whether we're helping you implement new technologies, develop data products or build AI agents, KPMG has the knowledge, experience and skills to help IT leaders keep up with the accelerated pace that today's business world demands.

      Learn how to develop high-value, useful data products to gain a competitive advantage.

      Data and technology as the foundation of effective transformation

      The demands on organisations are increasing rapidly. Business models are changing, value chains are becoming more digital and decisions need to be made faster and more resilient. At the same time, the demand for security, transparency and scalability of technological solutions is growing.

      Data and technologies form the basis for the targeted further development of organisations, improving operational processes and opening up new growth opportunities. Future technologies, data analysis, data evaluation and data visualisation help to make complex information comprehensible and effectively manage change processes. It is crucial to combine technological possibilities with strategic goals, regulatory requirements and the capabilities of the organisation. The KPMG CEO Outlook regularly shows that digital transformation and artificial intelligence are high on the agenda of company management. For management, the key question is therefore how to create measurable benefits from technology.

      Data-driven. Technology-enabled. Business-focused.

      We support you in using data, digitalisation and technology in such a way that they effectively strengthen your corporate strategy. Our aim is to work with you to identify the relevant fields of action, set priorities and develop solutions that are viable in day-to-day operations.

      We don't just look at individual systems or tools. We combine strategic understanding, technological expertise and implementation experience. This gives us a clear view of the big picture: What data do you need? Which future technologies fit your business model? Which processes need to be changed? And how can employees be actively brought on board?

      Designing digitalisation in a targeted manner

      Digitalisation unfolds its value when it supports specific business goals. This includes more efficient processes, better customer experiences, faster decision-making channels and reliable management information. We support you in the development of digital strategies, the evaluation of existing architectures and the implementation of prioritised measures.

      An effective transformation process starts with transparency. Which systems are business-critical? Where do media breaks occur? Which data flows are already usable and where are fragmented processes slowing down the organisation? Based on these answers, we work with you to develop realistic target images, robust implementation plans and change processes that combine business requirements and technological possibilities.

      Using data analysis, data evaluation and data visualisation as a basis for decision-making

      Data analysis provides orientation when markets, cost structures and customer requirements become more complex. Management teams need reliable information to recognise opportunities, assess risks and manage investments. This requires data models, governance structures and analytical skills that combine business requirements with technological feasibility.

      We support companies in setting up modern data platforms, developing analytical use cases and anchoring data-based management. This also includes structured data evaluation and precise data visualisation, which makes relevant correlations understandable for management, specialist departments and operational teams. Only when data is trustworthy, available, analysable and comprehensible does it become the basis for effective decisions.

      Using AI agents and automation responsibly

      Artificial intelligence is changing the way companies process knowledge, manage processes and shape interactions. AI agents can prepare tasks, collate information, initiate workflows and relieve employees in their day-to-day work. For management, this creates the opportunity to improve productivity and service quality in a targeted manner.

      At the same time, AI needs clear guidelines. We advise you on the selection of suitable use cases, the assessment of risks and the design of sustainable governance structures. Future technologies such as generative AI, intelligent automation and AI agents must be considered together with data protection, traceability and organisational acceptance. This is the only way to turn AI into a resilient component of corporate management.

      Transformation with structure and impact

      Technological transformation is not just an IT programme. It affects strategy, organisation, processes, people and management. That's why we take a holistic view of change and align it with your company's goals. This applies to cloud programmes as well as to data platforms, automation, analytics, data visualisation or AI-supported business processes.

      We support you throughout the entire transformation process: from determining the current situation and defining the objectives to implementation and ongoing development. Our experts bring in specialist experience from various industries and combine this with methodological expertise from technology, data and transformation projects. This results in change processes that are not only designed but also anchored in the organisation.

      We are happy to support you

      Data and technologies open up new scope for action for companies. The key to success lies in setting clear priorities and consistently aligning implementation steps with business objectives.

      We provide you with forward-looking, reliable and precise advice on the development and implementation of your data and technology strategy. We also support you with future technologies, data evaluation, data visualisation and change processes.

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      Von Cloud bis KI: Unsere neue Studie zeigt Fortschritte von Finanzdienstleistern bei der digitalen Transformation

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      Frequently asked questions

      The division includes consulting services relating to data strategy, digitalisation, data analysis, data evaluation, data visualisation, AI, automation, technology architectures and transformation programmes.

      Management teams need reliable data and suitable technologies in order to make strategic decisions faster, more transparently and more effectively. Data visualisation and structured data analysis help to prepare complex information in an understandable way.

      Future technologies such as AI agents, intelligent automation, cloud solutions and modern data platforms can make business processes more efficient and open up new control options. The key is to use them in line with the strategy and the organisation.

      KPMG provides support in identifying suitable use cases, assessing risks, designing governance structures and implementing responsible AI solutions. We also consider the necessary change processes in organisation, processes and working methods.

      A review makes sense if business processes are fragmented, data quality makes decisions difficult, new AI application cases arise or major change processes are planned. Inadequate data evaluation or a lack of data visualisation can also be a cause.