Connected architecture: the end of information chaos

Illustration depicting a connected data landscape
— written by Marnix Dalebout and Martijn ten Napel We live in an age where data technology is developing at an accelerated pace. The massive increase in information and its possible applications have led to an increase in complexity and information chaos. We see a lot of companies struggling with their data use.... keep on reading

The answer to complexity is not more complexity (5/5)

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I started with the question why it is so difficult to get a grip on information projects. To unravel this question, I started looking at how information is used, what this means for the interaction between information consumers and information producers and how context can increase the complexity in an interaction... keep on reading

The role of context: the source of all complexity (4/5)

The question of what differentiates BI or analytics from other data uses has always interested me. I think that I am now able to answer the question quite simply: we deal with context differently. Data is used to gain insights into where we stand with our organisations, how effortless or cumbersome the operational processes... keep on reading

The interaction model between information consumers and information producers (3/5)

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In the previous article, five use patterns for information were introduced. How you use information differs per pattern. This influences how the information consumers and the professionals who are preparing the information work together. Before I go into how the interaction unfolds, I would first like to prevent any confusion... keep on reading

The aim of an information request: information valorisation (2/5)

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This article examines the aim of an information request: what are we going to do with all the information which is available in an organisation? A great deal of money is invested in information and data projects. That investment should lead to more added value in the operation. This is also true of information which is used for... keep on reading

The complexity of information projects (1/5)

Never before has there been such intense interest in data. At the same time, expectations about what you can do with data have also never been quite so overheated. Over the years, the recurring complaint of managers has been the question: Why does it take so long to make information available? The recurring complaint of many... keep on reading

Secured Data Container method, a pragmatic approach for dealing with sensitive data in a BI environment

| 17 June 2017 | Others

Processing sensitive data is a challenge in most BI environments. You can categorise sensitive data into business sensitive data and data subject to compliance. Business sensitive data is marked as sensitive by the owners of the data. An example is cost price calculations. Legislation drives what data is subject to... keep on reading

Gartner’s logical data warehouse: my interpretation of a concept

| 24 May 2017 | Others

I’ve always regarded Gartner’s logical data warehouse as a conceptual framework: food for thought. It is both the accumulation of observations made on how organizations have shifted their data management practices as well as a discussion paper on what is required of modern data management for analytics. The logical data... keep on reading

Why I still label myself as a Business Intelligence Architect

| 8 March 2017 | Others
Image of a marsh
I still label myself as a Business Intelligence architect and I’m proud of that. Over the last 20 years, BI practitioners have gathered a body of knowledge of effective methods to enable people to create value in their businesses or services, by using information. That’s what BI is about. The origin of that information,... keep on reading

Conclusion of the agile with architecture series (7/7)

Agility, based on the principles of the Agile Manifesto is a pragmatic approach to progress in an unknown world. Dave Thomas explains the essence (blog, video): What to do: Find out where you are Take a small step towards your goal Adjust your understanding based on what you learned Repeat How to do it:When faced... keep on reading

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