The central objective of undertaking a data project is to enhance support of the overarching business strategy, empowering informed decision-making and fostering agile adaptations.
Data Strategy
The transformations to mold the data from an application in a form that is better suited for data analysis is done in a datawarehouse.
Data Strategy
For years I am trying to build a single source of the truth (SSOT). Now I read about a MVOTs architecture: multiple versions of the truth.
Data Strategy
Once you take the decision to build a data product, you will need projects to build certain aspects of the product roadmap.
Data Strategy
Organizations who get their data accounting in order now will have a competitive advantage in the future.
Data Strategy
Get the full benefits from your data by connecting data strategy, data architecture and data culture.
Data Strategy
When reading about data strategy, the first comment that always comes up is the fact that the data strategy has to align with the business strategy.
Data Strategy
How to use your data to create an excellent customer experience.
Data Strategy
How your data architecture looks like, depends on the data you need to follow up on your strategy.
Data Strategy
If you're going to ignore the data and keep relying on your gut feeling to take the decisions, why bother in the first place.
Data Strategy
Getting more transparency in the order-to-cash process is crucial for improving cash flow forecasting and analyse profitability.
Data Strategy
Are you in Finance? Don't underestimate your position to lead data projects!
Data Strategy
To excel in a data project, mastering these five crucial steps is essential.
Data Strategy
Sometimes we talk to a prospect who thinks they are not ready to start a data project. Their processes and business applications are not on point yet, and they first want to put this in order. Understandable, but is the argument correct?
Data Strategy
Data Modeling is the key to shaping raw data into a powerful tool for decision-making, making it not just understandable but actionable.
Data Strategy
"You can't stop the waves... but you can learn to surf!" My take on the transferable skills from surfing to life and innovation.
Data Culture
For a data project to really take off, a culture of empowerment and accountability must exist within your organization.
Data Culture
It's key to find a balance in the organization between chaos and rigitiy. In the literature this is called 'the edge of chaos'.
Data Culture
Philosophy and data seem two completely disparate fields. Philosophy works with all possible types of input, while in analytics we are limited to the data relevant to our business.
Data Philosophy
In implementing a data strategy, we need the right balance between the top-down and the bottom-up approach to try and have the advantages of both, mitigating the disadvantages as much as possible.
Data Philosophy
Kant had the insight to not start from the objects in the world to examine how an observer gains knowledge about them, but the other way around.
Data Philosophy
The better you understand jargon and background of the different people you talk to, the better you can explain things and get on the same page when decisions must be taken.
Data Philosophy
The pure logical and numbers driven way to approach your business will always fall short, you need to complement it with emotion and storytelling to drive decisions in a certain context.
Data Philosophy
Even though we experience our world and ourselves as continuously changing, Western metaphysics has long been obsessed with describing reality as an assembly of static individuals.
Data Philosophy
Applying Rawls' veil of ignorance to data projects you could guard the principles of fairness and equality
Data Philosophy
Start using data to retrain yourself to interpret the signals you're capturing about your business
Data Philosophy
Although philosophy and data at first sight seem very different, looking from philosophy to data can prove to be insightful and inspiring.
Data Philosophy.jpg)
In ‘The Path’ - a book on ancient Chinese philosophy by Harvard professor Michael Puett, I was struck by two opposing worldviews that have their counterparts in two different ways of thinking about business.
Data Philosophy