Our key focus is to provide comprehensive solutions in the areas of Data & Analytics and Advanced Analytics. While our main services are the development and implementation of machine learning and deep learning models, it is not all that we do. We help clients leverage the potential value of their data in order to make data-driven decisions by delivering tailor-made analytics environments and solutions. We do this by offering comprehensive services: from the definition of the first business case, until implementation and beyond.

Our services include:

• Definition of data strategies
• Analytics maturity assessment
• Data mining
• Advanced Analytics services
• Development and maintenance of tailor-made dashboards and data-intensive applications

In its controlling practise KPMG combines these modern data driven and traditional solutions and aligns them to the business model of the company in order to achieve an innovative, proactive, transparent and efficient controlling function. As a result, return on invested resources can be maximised and managers may be enabled with faster, more agile decision making.

Primary objective of controlling function is to create a positive impact on organisational operations and to ensure that this impact is long lasting and significant. Let it be actual performance evaluation or planning and forecasting, the goal is always to ensure contribution to effective use of resources with a forward-looking approach.

Clients in any size operating in various industries may benefit from our professional skills and practical experiences in developing controlling models, process optimisation and implementation of digital controlling solutions. Our team bears all the necessary skills to manage a successful controlling project.

We provide solutions in the following areas:

• Controlling Excellence benchmarking
• Cost allocation and optimisation
• Controlling systems and automation
• Investment and project controlling
• External and internal reporting, management dashboard
• Planning and forecasting
• Pricing strategies, pricing and profitability models
• Incentive systems, HR controlling
• Controlling and IFRS