Valuable insights from data only arise when relevant information is recognised, integrated and analysed in a targeted manner - a task that presents companies with complex challenges.

In practice, companies often find it difficult to harmonise the requirements between business and IT, as the two speak different languages. However, a common understanding is necessary in order to identify and merge the right data from heterogeneous systems.

Solid data basis as a foundation for AI potential

We are not only able to process data efficiently. We condense the information into usable insights and integrate them into existing company processes. In this way, your data generates real added value in the areas of growth, risk and costs.

We are also happy to help you utilise big data strategically and individually.

In the area of business analytics and data engineering, we deal with the following questions, among others:

How can relevant data sources be identified for an analysis and how can this data be technically extracted?
How can a solid data basis be created that enables efficient analysis and the use of AI through rule-based processing and data modelling?
How can data be translated into comprehensible, business-relevant data products in order to maximise added value for specialist departments?
How can the already prepared data ideally be evaluated in rule-based analyses and used in the context of the application of AI?

Our focus is on developing customised analyses that are geared towards your existing (data) strategy and organisational structure. With a combination of technical expertise and in-depth specialist knowledge, particularly in the areas of finance, compliance and performance, we support you in extracting insights from data in order to create sustainable added value for your company.

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Our range of services

We support you with your challenges by translating functional requirements into technical solutions and providing end-to-end approaches. With modern data architectures and an integrative approach, we support you in gaining valuable insights from your data.

Development of the target image

Distributed data (sources) can be collated, complex data structures harmonised and transformed into valuable insights. The existing (data) strategy, technical and regulatory requirements and the existing data architecture form the basis for defining the scope. This triad enables a well-founded gap analysis between the requirements of the desired analysis and current data utilisation. A target picture and specific fields of action can be derived from this. As part of the scoping process, relevant use cases are defined, technical analysis and reporting requirements are recorded and the target picture is systematically developed.
Structure of the data architecture

Modern data architectures address heterogeneous IT landscapes and decentralised data repositories by establishing a single point of truth. This enables the efficient collection, storage and historisation of data - as the basis for consistent and reliable information.

Automated data flows and controlled data completeness in the ETL process support efficient data transformation and provision, while near-real-time data provision enables time-critical analyses. Our expertise includes the use of standardised tools for extracting ERP data and non-ERP data as well as the development of on-premise and cloud-based data platforms.
Business Analytics

Thanks to extensive experience in the core operational processes of companies - particularly in the areas of finance, compliance and tax - requirements can be analysed and optimised in a targeted manner.

Companies are supported in the implementation of current requirements such as the fulfilment of reporting obligations with clearly defined content specifications. A common data model, tailored to the analysis requirements, creates the basis for transparent and comprehensible analyses - supported both internally and externally by AI.

Business analytics solutions are implemented quickly and effectively, supported by a broad network of experts and a deep understanding of processes. The aim is to measurably increase the value contribution of data-driven decisions.
Decision support & reporting

Our reporting solutions offer far more than just pure data processing - they create real added value. Whether it's classic data preparation from the source system to rule-based analytics use cases, data transformation from raw data to comprehensible data products for use via self-service or the creation of a reliable data basis for AI-based applications - we always use the most suitable analysis method for your use case. The interpretation of the results is supported by our in-depth expertise. The results of the analyses are prepared in a structured manner for subsequent evaluation and reporting. In co-operation with technical experts, suitable measures can be derived in a targeted manner.

Why KPMG?

The success of our projects is based on interdisciplinary teams with a combination of technical and specialist expertise. Whether over the entire project life cycle or in individual phases - from requirements analyses to the integration of use cases: the focus is on sustainable solutions.

Thanks to extensive project experience and the use of proven methods, advanced analysis techniques can also be combined with in-depth industry knowledge. As an alliance partner of leading technology providers, we have in-depth technological knowledge and rely on proven best practices; if required, we can also draw on their expertise.

Our extensive cross-industry experience and broad network of SMEs enable us to offer solutions that are customised to the specific needs of our clients. We create the basis for well-founded analyses and data-driven decisions that offer sustainable competitive advantages.

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