An end to the data fairytale (1/2)

| 8 March 2021 | Others

It has been 20 years since the DotCom crash and the introduction of the term ‘web 2.0’ in its aftermath. Web 2.0 did put focus on interaction with data. I have grown up as a ‘data professional’ in the same period. Looking back on those 20 years, I can sum it up in three bullet points: Connectivity (internet),... keep on reading

Working with data: a toy metaphor

| 30 August 2020 | Others

Using metaphors is dangerous. Metaphors do not describe reality, but are a tool to create insight into complex problems. I have an ambivalent relationship with metaphors. People tend to run away with them and stretch the simplification, instead of using it as an entry into discussing the real complexities. Notwithstanding,... keep on reading

Information overflow asks for curative maintenance

| 24 October 2019 | Others
Illustratie voor informatie overvloed
Businesses and government agencies collect large volumes of data to get to needed information. In every subject discussed, data is the central underlying theme. Investments in technology are ripe with promise and low on yield. Organisations experience this squeeze. I even observe a regression: new technology and more data... keep on reading

Naked Data

| 6 June 2019 | Others

It is hard to explain why data management is still an unruly discipline. Two articles I read recently which on first reading appeared to be unrelated, actually have a connection and help shed some light on the unruliness. The connection is that we work around the shortcomings of the current technologies. This lead me to an... keep on reading

LinkedIn articles

| 14 May 2019 | LinkedIn
LinkedIn logo
I use LinkedIn as the medium to publish short articles. This is the compilation of references to those articles. Some of them are in the Dutch language. Highlighted articles On context and tacit knowledge — the obstacle course for organisations to 'become data driven'. 22 years in data​: learnings for the future — the... keep on reading

Taming the data beast

| 30 October 2018 | Others

The digital company and analytics are not synonyms. The common denominator is the acquisition, transformation and use of information. Digitisation of business processes has a profound impact on how businesses are run and on where and how analytics are being used to optimize those business processes. The flood of information,... keep on reading

Data and AI in an analytical world

| 28 June 2018 | Others
Illustration with the article 'Data and AI in an analytical world'
Artificial Intelligence (AI) has had a long history up until now, remaining in university labs for a number of years before coming of age. Today, connectivity and computing power have reached a turning point where it is viable to apply algorithms locally. This opens up a whole new set of applications, some of which will make... keep on reading

Connecting people in connected architecture

Data related initiatives are often laborious. Obtaining, adapting and maintaining information solutions takes more effort than you would like. The through time of projects is increasing. In the series “the complexity of data projects” I explained what causes this. One of the consequences is that the call for data... keep on reading

The life cycle of analytical information (epilogue)

Promoting analytical solutions from the development and test phases through to the stable production stage is a search. It works just that little bit differently from reporting and analysis environments based on data warehouses, as the responsibilities are often organised in a decentral way. The question “how do I know... keep on reading

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

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