Een datastrategie en modern dataplatform vormen de basis voor succes
Data driven working
The secret of today's most successful and innovative companies? Their business model revolves around data. By working in a datadriven way, you can innovate faster and make better informed decisions.
Working in a data-driven way means that at all levels in the organisation, decisions are made based on data. It is essential here that you trust the data because you have the right technology in place to collect, model and present data, and because users have the skills to interpret data.
From reactive action to proactive management
Successful organisations that work in a datadriven way are able to make the step from reactive to proactive management. New data infrastructure technology supports this need. This is where the need for a data strategy comes in. The diagram below helps to answer the strategic questions: where are you now, where do you want to go and what is needed to achieve this? And then: what does my ideal data architecture look like?
Working data-driven: Where does your organisation stand in terms of maturity?
Successful applications are flexible and scalable
To be able to innovate and respond quickly to market demands, trends and to be ahead of the competition, you need to be able to test, verify and validate outcomes quickly. A modern, cloud-based data platform can be seen as the bridge between business and IT and facilitates experimentation and validation, the calculation of scenarios and the testing of new business models.
This makes a modern data platform an important prerequisite for innovation. Modern, successful applications are flexible, scalable, and constantly being improved. Just like your customers, you can no longer wait six months for the next release. Unfortunately, many data platforms still work on premise, which makes it difficult to add new data service. While a traditional data platform may be fine for reporting and 'looking back', if you opt for the data first principle, you want a multipurpose data platform for analysis, innovation, change, decisions, and predictions.
A modern, cloud-based data platform can be seen as the bridge between business and IT, and facilitates experimentation and validation, the calculation of scenarios and the testing of new business models.