Connected architecture framework: emphasis on the organisation of data

Architectural approaches in the BI, analytics and data work fields, emphasise ‘what’ you should do. These approaches are technically based. They are all about blueprints and relevant methods. They prescribe how you should implement the solutions, the rules for data modelling and data logistics and how you can ensure that... keep on reading

Creating tailwind for your data organisation

Wind mee voor de data organisatie organiseren
Data gets value by applying the insights derived from it. Therefore, the responsibility for organising data is with the people who apply the insights. They know what information they need. The BI departments, BI competency centres, analytics departments and IT departments of most organisations struggle with organising... keep on reading

How connected architecture came into being

Together exploring an unknown future
The story which we tell in  “Connected Architecture: the end of information chaos” is founded in the convictions we have built up by practical experience in the many projects which we have carried out.  Our view on the world of data Changeability in organisations and their environments has grown. That is unlikely... keep on reading

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)

Illustration with this article
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)

Illustration with this article
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

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