Data-driven organisation – how to build a company driven by data
16 April 2025
16 April 2025
A data-driven organisation is a business that bases its decisions not on intuition, incomplete information or “years of experience”, but on facts and data analysis. In practice, this means that data forms the foundation for planning strategies, managing processes, evaluating performance and creating new products.
In data-driven companies, data is accessible, up-to-date, consistent and—most importantly—used. At every level of management. From everyday operational tasks to key strategic decisions.
Companies that effectively use data adapt faster to change, understand customer needs better, and achieve greater operational efficiency.
Key benefits include:
Data helps eliminate cognitive biases that influence decision-making. Instead of relying on assumptions, organisations analyse facts.
With access to real-time information, a company can quickly detect problems and capitalise on opportunities—whether in sales, cost management, logistics or customer service.
A data-driven organisation knows what works and what doesn’t. Every decision is linked to a metric, KPI, forecast or scenario.
When everyone has access to the same data and interprets it consistently, it’s easier to align on common goals and collaborate effectively across departments.
Becoming data-driven is a journey. Organisations usually evolve through four stages of analytics maturity:
Basic reporting: What happened? – numbers, summaries, tables, charts.
Why did it happen? – root cause analysis, identifying relationships and patterns.
What is likely to happen? – forecasting models for demand, revenue or customer churn.
What should we do? – action recommendations based on algorithms, scenarios and automation.
A mature data-driven organisation uses all these levels, combining them to suit the needs of different departments and users.
Even the most advanced tools won’t help if data is ignored, decisions are made “the way they’ve always been made”, and analytics is seen as IT’s responsibility alone.
Before implementing any systems, ask:
There is no quality analysis without quality data. Key requirements are:
Business Intelligence systems (e.g. Power BI) allow for real-time data visualisation and access – not just for data specialists, but also for managers and operations teams.
This is where it makes sense to take advantage of proven solutions and expert know-how. getsix® Services offers advanced Power BI implementations integrated with financial systems such as Microsoft Dynamics 365 Business Central. Get in touch with us!
Transformation shouldn’t be “just an IT project”. It requires cooperation across analytics, business, finance, marketing and operations.
Find out where your organisation stands—are data being used? Do teams trust them?
No need for a revolution—start with a single process, such as sales analysis, budgeting, or profitability.
Define roles (e.g. Data Owner, Data Analyst, CDO), governance structure, communication and decision-making processes.
Select technology that is flexible, scalable, and suitable for your team’s capabilities—BI, data warehouses, integration tools, cloud platforms.
Workshops, tool testing, ongoing training—transformation is a process, not a project. Continuous feedback and learning increase user engagement and success rates.
Being a data-driven organisation is not a trend—it is a strategic requirement for success in today’s dynamic world. With the power of analytics, companies can:
Those who commit to the data-driven journey gain not only competitive advantage and transparency, but also resilience in the face of market uncertainty.
The company getsix® Services has been an integral part of the getsix® Group for nearly 20 years, enabling them to provide tested and refined solutions for clients in the service industry who require efficient accounting and financial controlling solutions.
If you have any further questions or require additional information, please contact your business relationship person or use the enquiry form on the HLB Poland website.
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