Enterprise
AI Governance
AI governance has received a lot more attention as AI regulations are being formulated and passed. But AI Governance is not only about regulation, it is the key discipline to master the complexity induced by the variety of AI frameworks, models and tools. AI Governance relies on proper Data Governance which has been discussed in […]
Experiential and Incremental Implementation
Motivation We have started this blog-series with the question why it is so difficult to become data driven and explored the approaches to accomplish this in Part 3. In this article we go in more detail and focus on experiential and incremental delivery. The main goal of experiential and incremental approaches is to gain a […]
Approaches and Considerations becoming a Data-Driven Enterprise
Working with data has a long history in IT and has seen a constant stream of innovation and changes over the past decades. In this third article of the “Data-Driven Enterprise” series, we want to look closer into organizational and methodical approaches for implementing new data architectures and capabilities and how they relate to the goals, the requirements […]
Data-Driven Enterprise? What’s so difficult?
In this second part of our series, we want to review requirements and challenges of a Data-Driven Enterprise in more detail. In Part 1 we looked at the overarching goals of a Data-Driven Enterprise. Part 3 will describe approaches and methodologies to become data-driven and adapt culture, organization, and processes accordingly. Requirements of a Data-Driven Enterprise Considering […]
Data-Driven Enterprise? Why?
The COVID pandemic, the war in Ukraine, global warming and other unparalleled events of the past years, have not only increased the need for digital transformation, but even more so for enterprises and businesses of all sizes to become, improve and protect their data-driven businesses. Data-driven enterprises thrive to leverage all available data and insights […]