Written by Ihor Protsiv, January 2025
Organisations often end up with disorganised data reporting, the kind that grows quietly until nobody trusts the numbers anymore. Moving to a modern data tech stack only works if clear business requirements are set before implementation begins. The platform isn't the hard part. The clarity is.
The chaos of data
The pattern is familiar. Companies that have grown without a deliberate data strategy tend to end up in a recognisable state of disorder:
- •Excel files scattered across shared drives
- •PowerPoint presentations circulated via email
- •Inconsistent Power BI dashboards created by different teams
- •Ad-hoc SQL queries run locally
- •Outdated reports reaching decision-makers
- •Multiple conflicting versions of key metrics
- •Unclear data ownership across teams
- •Fragmented tooling that prevents unified reporting
These challenges prompt organisations to adopt a modern data tech stack. The instinct is right, but the implementation needs careful planning to actually deliver value.
Business requirements: the key to successful data transformation
“The most critical success factor is defining clear business requirements.”
Without them, even advanced technology fails to deliver value, and the platform becomes another silo, just a more expensive one. We run through four essential steps with clients before any platform decision is made.
Interview stakeholders
Talk to data analysts, BI users and business leaders. Identify reporting pain points and analytics needs. Outcome: critical insights and reporting gaps uncovered.
Assess data and reporting needs
Review current tools, workflows and data sources. Identify inefficiencies and integration challenges. Outcome: improvement areas defined for the new systems.
Run requirements workshops
Bring cross-functional teams together. Define and prioritise reporting needs and metrics. Outcome: business goals aligned with technical capabilities.
Build and review reporting prototypes
Mock up dashboards and reports. Gather stakeholder feedback. Outcome: alignment before development starts, minimising wasted effort.
A smooth transition means long-term success
“A new tech stack alone won't fix reporting challenges, but well-defined and clear business requirements will.”
Putting clarity first and investing time in early planning lays the foundation for an effective data transformation. The time spent before implementation isn't overhead. It's what makes the implementation work.
Done well, this approach ensures:
- •Smooth implementation
- •Better user adoption
- •Long-term success
- •Capacity to manage growing data volumes
- •Alignment with strategic goals
