The data paradox: why more data does not always lead to better decisions
Do you recognise the data paradox in your organisation?
- Article
- Data Strategy


Do you have access to more and more data, but find that better decisions are failing to materialise? You are not the only one. We see in many organisations that the growing amount of data actually leads to confusion and indecision. This data paradox - more data, but not automatically more insight - is a major challenge for anyone who wants to work in a truly data-driven way.
The foundation: strategic data thinking
We believe the power of data is not in the quantity, but in the strategy behind it. Before collecting data, we always ask the question: which decisions do we want to improve? What insights are needed to do so?
In this way, together we lay a solid foundation for data-driven work:
- We link data directly to concrete business objectives.
- We determine in advance which insights add value to processes.
- We avoid collecting data for the sake of collecting it.
Data deluge: more is not always better
The amount of available data is growing explosively. Customer behaviour, operational data, social media, IoT - the flow seems endless. But this abundance often creates a false sense of security: more data does not automatically mean more wisdom.
In fact, without the right context and processing, we become paralysed faster by choice stress and ambiguity.
Do you recognise this?
- Dashboards full of metrics, but little direction.
- Analyses that don't connect with practice.
- Decisions that stall due to too much (or too little) information.
The gap between data and value
The gap between data and value arises because data collection is only the first step, while the real challenge lies in turning data into actionable insights and concrete actions.
Organisations often get stuck because their data sources are fragmented rather than integrated, analyses do not lead to clear next steps, insights do not match decision-makers' needs, and results arrive too late to make real impact.
These challenges create a barrier between having data and creating real value for the organisation.
Common obstacles in data utilisation
What stops organisations from getting real value from data? We often encounter these barriers:
- Outdated systems: Technical debt and legacy infrastructure make integration difficult.
- Lack of data skills: Without the right knowledge, analysis remains superficial.
- Silo working: Departments do not share data with each other, so everyone has their own truth.
- Low-quality data: Unreliable data undermines trust in analytics and insights.
The hidden cost of untapped data
Organisations invest heavily in data collection and infrastructure, but if data is not optimally utilised, costs quickly mount up. Decision-making slows down due to time-consuming analysis, making organisations less agile in a competitive market.
At the same time, focus gets lost due to irrelevant metrics that create more confusion than insight. Innovation opportunities remain unexploited as valuable patterns and trends in data go undiscovered, while compliance risks increase due to poor data management that does not comply with regulations and standards.
From data to action: this is how our data strategy experts help you break the data paradox
How do we solve the data paradox? Not by collecting even more data, but by working smarter:
- Start with the decision: We determine together which decisions need to be better.
- Link data to business goals: Every data initiative contributes directly to your strategy.
- Create a data ecosystem: We build an infrastructure and organisation that makes data accessible to the right people.
- Invest in people and culture: We develop data skills and foster a data-driven mindset.
- Implement data governance: We ensure reliable, quality data as a foundation.
This article is part of the Dutch e-book “Getting started with your data strategy”. Learn from the valuable insights of our data strategy experts, discover inspiring cases and get started with practical tips.

This is an article by Elias Hassing
With a background in product management and over 15 years of experience leading international development teams, Elias helps organisations develop their data strategy. With his expertise in product development and experience as Head of Product at companies such as Coolgradient and Infinitas Learning, Elias guides digital transformations from strategy to execution.
Principal Data Strategy Consultantelias.hassing@digital-power.com
Receive data insights, use cases and behind-the-scenes peeks once a month?
Sign up for our email list and stay 'up to data':