Session Outline
Are your business users frustrated with slow data delivery? Are data preparation costs too high? You may be juggling two projects at once – one delivering business insights, the other building an IT solution. And here’s the catch: one of them is the main root cause of your costs and delays. This session uncovers why traditional data integration focuses too much on technical tools while losing sight of business value. We’ll compare architectures that promised to reduce complexity but often fell short by omitting critical functions. Finally, we’ll show how automation can streamline data processes, cut costs, and foster a truly data-driven culture – if you tackle the two-project dilemma.
Key Takeaways
- – Data Lake vs. Data Vault vs. Data Mesh – Strengths, weaknesses, and why some architectures do not address the whole data management challenge.
- How a well-implemented Semantic Layer bridges the gap between business and IT.
- Automation for Business Value – How automation reduces manual effort, accelerates data processes, and enables strategic decision-making.
