Our expert for questions
Andreas Odenkirchen
Director and Data & Analytics Expert at PwC Germany
Tel: +49 151 1553-5019
Email
What leads our customers to buy a certain product? Which products are subject to the risk of supply shortages? How can I access the relevant data from other departments? And what exactly does a particular KPI mean?
Many companies are facing an increasing number of questions throughout all their departments regarding the handling of data. The correct usage and usability of data has long been a crucial factor in converting your strategic and economic vision into tangible success. Many challenges are arising because data sources are becoming more heterogeneous and data volumes are growing exponentially. This increases the entry barrier for non-specialized employees who have to process and analyse this data. Data quality fluctuates with each additional source, and the technologies required get even more complex.
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Thus, centralized data platforms such as data warehouses and data lakes which were established within the company are increasingly being complemented – or even replaced – by decentralized and more automated approaches. In this way, new concepts like data mesh and data fabric entail a paradigm shift for the handling of data in enterprises. However, there is not one blueprint applicable to every company. On the way to your next-generation data platform, we support you on your strategy, concept, realization, and upskilling to create a customized model tailored to your needs.
“There is no uniform solution for data management – each organization has to find its own degree of centralization and automation. However, modern approaches such as data mesh and data fabric can play a key role in making data usage faster and better within your company.”
Enterprise data management is not a new discipline – but its significance has grown exponentially in recent years in line with rapid digitalization in order to make both data collected within the company and relevant external data as usable as possible. It is also crucial for ensuring compliance with regulatory requirements and avoiding costly penalties.
The systematic handling of data is becoming increasingly important for a variety of reasons:
This is set against a series of challenges arising from realization:
A comprehensive enterprise data warehouse (EDW) is the original and firmly established approach for enterprise data management for analytical purposes. According to our Data Mesh Study 2022, approximately 84 percent of German companies rely on a central datawarehouse, in which they manage and combine structured data from various sources – e.g. ERP, CRM, MES – in a single monolithic system. Although this makes the everyday use of data easier, it also reaches its limits quickly, depending on the application. The issue is that due to its central administration and rigid data transformation paths, this approach is inflexible and sluggish for new processes, sources, and applications. In addition, its data variability has technical limits, and the costs associated with large highly available data sets are rising fast.
Although the decentralized approach of data mesh has the potential to reduce bottlenecks in the value-adding handling of data, data lakes and data warehouses also continue to be relevant for enterprises. We can help you find the data architecture that best addresses your future requirements and generates maximum business value from data.
In doing so, we focus on eight key components which we consider crucial for your next-generation data platforms:
Many companies face challenges such as monolithic, centrally organized data platforms, organizational bottlenecks, and critical gaps between experts and the information relevant to them. Data mesh concepts provide a solution to these challenges. SAP offers the suitable technological foundation for this new form of data management with the Business Technology Platform (SAP BTP).
“From the assessment of your status quo to the implementation of a central, decentral, or hybrid model: Our experts can assist you along the path to your next-generation data platform to unleash the most business value from your data.”
Director, Data & Analytics, Operations Transformation, PwC Germany
Tel: +49 151 15535019
