Success Factors for Business Reporting
2025TL; DR
This session will give you insight into three driving factors, explore where the gap between technology, processes and people need to bridged, and give you a number of questions that your data warehouse project team MUST be able to answer.
Session Details
Most businesses today either has or wants a data warehouse, and it is expected that the business will be able to benefit greatly from this data warehouse as soon as it is in operation. It will deliver spectacular insights into all aspects of the business, enabling vast savings and improvements in all areas of the business.
Does this promise sound familiar?
This is exactly what a good data warehouse can provide. But why is it that so many data warehouse projects run wildly over budget, fall equally short of delivering the expected results, or simply - fail?
There are many reasons why data warehouse projects fail, but my in my experience, three factors are key to the outcome of a data warehouse project. These factors are process insight, the ability to adequately model said processes in a data model, and business intelligence governance.
This session will give you insight into each of these factors, explore where the gap between technology, processes and people need to bridged, and give you a number of questions that your data warehouse project team MUST be able to answer.
Does this promise sound familiar?
This is exactly what a good data warehouse can provide. But why is it that so many data warehouse projects run wildly over budget, fall equally short of delivering the expected results, or simply - fail?
There are many reasons why data warehouse projects fail, but my in my experience, three factors are key to the outcome of a data warehouse project. These factors are process insight, the ability to adequately model said processes in a data model, and business intelligence governance.
This session will give you insight into each of these factors, explore where the gap between technology, processes and people need to bridged, and give you a number of questions that your data warehouse project team MUST be able to answer.
3 things you'll get out of this session
Learn the importance of understanding business processes
Understand the need for proper data modeling techniques
Learn why governance is key
Speakers
Alexander Arvidsson's other proposed sessions for 2026
Invisible Insights: What Your Data Can't Tell You - 2026
Turning insights into action: The art of data communication - 2026
Fabric FinOps - Cost Optimization for Fabric - 2026
Fabric in Perspective - Interfacing Fabric With the World Beyond - 2026
From SQL to Spark and Back Again - Spark and Python for SQL Users - 2026
Knee-Deep In Tech Live @ SQL Bits - 2026
No-Nonsense Business Data Modeling for Everyone - 2026
Undoing the Pretzel - Five Tips for Improving Your Body Language - 2026
AI Makes You Faster(?) - What LLMs Actually Are and Why It Matters - 2026
Alexander Arvidsson's previous sessions
Roche's Maxim of Data Transformation - By Example
Roche's Maxim of Data Transformation states that "data should be transformed as far upstream as possible, and as far downstream as necessary". Simple, powerful, and beautiful - but what does it really MEAN? Come find out through example.
Stand Fast - How Governance Can Save You a Fortune
Why is it that cloud projects often end up way more expensive than they should? The answer might surprise you: a lack of governance. Come learn how to turn governance from limitation to enablement.
Knee-Deep In Tech Live @ SQL Bits
Come be a part of the audience for a recording of an episode of Knee-Deep in Tech, a bi-weekly technology podcast!
The topic for this year's recording is:
Agile, DevOps; DataOps and all the other methods - help or hindrance?
The Untruthful Art - Five Ways of Misrepresenting Data
In this age of information it is imperative to be able to be able to clearly, simply and accurately explain and communicate sometimes complex data.