In a changing world of big data, real-time and (Gen) AI development, organizations are trying to set up a data-driven organization. In such an organization, data needs to be accessible at a user’s fingertips.
In this whitepaper, we share our element61 view on how organizations can accelerate the enablement of BI, Data & AI development first-time-right. Using a modern architecture – called a Modern Data Platform – we have proven to support both traditional Business Intelligence (BI) needs and needs in big data, real-time and AI development. We examine the challenges of anno 2025 and we explain how various architectures of a Modern Data Platform can enable both small and large organizations, and what the options are to build a data-driven organization.
This whitepaper is a must read for
- Decision makers looking for an easy-to-understand overview of the WHY & the HOW on data platform
- Architects looking for an outside-in point of view comparing various Modern Data Platform architectures
- BI professionals looking for guidance on how to keep the BI platform & its way of working relevant anno 2025
Here is what we cover in the whitepaper
- Why traditional BI tools fall short for modern data and AI needs
- How to start your analytics journey with a clear data strategy and roadmap
- What a Modern Data Platform (MDP) is and why it’s essential in 2025
- Use cases: self-service analytics, data governance, AI readiness, and integrated reporting.
- Recommended architectures using:
- Azure Databricks
- Microsoft Fabric
- TimeXtender (no-code)
- Tools & technologies for governance, quality, and automation.
- element61’s expertise in helping organizations modernize their data platforms
Download the whitepaper here
Want to know more
Reach out to us, we’re happy to share more.
