New

Looking for the latest insights? Read now

Person working on a tablet with holographic charts, data streams and analytic visualizations appearing around them – representing data management, data architecture, master data management and analytics strategies.

Data & Analytics Strategy

We design scalable data architectures that unite quality, compliance, and innovation.

Build a foundation for efficient data use, ensure regulatory compliance, and enhance the long-term value of your data.

Optimization of data infrastructure through integrated data architecture

To make the most of the growing volumes of data in the life sciences and chemical industry, the right technical, process-related and organizational set-up is now essential. The organizational structures in which companies store and process data are constantly changing. 

There is a growing trend to shift from centralized data lakes with time-intensive analyses to decentralized data architectures, e.g. data meshes with high-performance self-service platforms that can achieve far better results. At the same time, robust data governance that ensures compliance with regulatory frameworks through standardized company-wide guidelines is becoming more important.

msg industry advisors are your trusted partner when it comes to implementing your data and analytics strategy in a future-proof and efficient data architecture with in-depth industry and IT expertise.

Your contact

Porträt von Biagio Clemente

Biagio Clemente

Senior Manager Data & Analytics

Challenges in optimizing data architecture: Strategies, technical solutions and cultural change

Companies in the pharmaceutical, biotech, medtech and chemical industries are faced with the challenge of meeting the complex requirements for the provision, use and security of data and optimally exploiting the potential of future technologies. An integrated data architecture must take individual objectives, processes and IT systems as well as the regulatory framework into account. Depending on the strategy, maturity level of the data and IT, size of the organization, data volume and complexity of the data processing, different approaches can be used, from the classic data warehouse to the decentralized data mesh approach.

An important conceptual starting point is the definition of relevant use cases, including the integration of existing legacy systems and the fulfillment of all data governance requirements. Technical solutions such as partial automation of certain processes can help to reduce regulatory complexity. In any case, implementation entails organizational change, for example in the definition of roles, departments and domains. The cultural change that often accompanies the handling of data can be firmly embedded in the company with the help of an accompanying change management program.

Our Capabilities

We will accompany you in developing and implementing a robust and scalable data architecture that is tailored to your corporate strategy.

Together, we analyze and evaluate your company's data architecture – from data flows, analysis approaches, IT systems and bottlenecks to the strategic and regulatory framework.

Based on defined use cases, we develop a sustainable data architecture that combines the latest technologies and analysis options with existing systems, security and flexibility.

Our experts use their in-depth IT and change management expertise to provide a compliant and sustainable roll-out of the developed data architecture within the company.

We guide you in setting up and embedding effective governance structures as a foundation for solid data quality, security, and compliance.

Shaping integrated future-oriented data architectures together

Start now with the optimization of your data structure towards an efficient data architecture. Contact our experts to help you realize your tailor-made solution.

Get in touch

More Capabilities about Data Management & Analytics