Data Architecture
Optimized and integrated data infrastructure not only increases your data quality, but also the information value of your data. We can support you to develop and implement future-oriented data architectures.
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.
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.
Shaping integrated future-oriented data architectures together
We will accompany you in developing and implementing a robust and scalable data architecture that is tailored to your corporate strategy.
Our services include:
Evaluation:
Data architecture design:
Data architecture implementation:
Implementation of data governance:
Start now with the optimization of your data structure towards an efficient data architecture. Contact our expertsto help you realize your tailor-made solution.
Further expertise on Data Management & Analytics
Data & Analytics Strategy
Implement a well thought-out data & analytics strategy for high-quality and usable data.
Master Data Management
Thanks to robust master data management, we can create the basis for the highest master data quality – and thus guarantee industry standards.
ISO IDMP Conformity
ISO IDMP compliance as an opportunity for more efficient processes - master an efficient, legally compliant and holistic implementation of the EU regulation regarding the ISO IDMP data standard in cooperation with msg industry advisors.
