by Joanna Berry, Senior Business Intelligence Consultant Stellar Consulting Group
The Necessity of Data Skills for Business Analysts in Data Environments
Strong governance sets the direction for data success – but Business Analysts ultimately determine whether the numbers will stand up at month-end.
Leadership can articulate strategy, value, and outcomes. Yet if Business Analysts don’t actively engage with data design, organisations often find themselves reconciling spreadsheets, chasing exceptions, and questioning every report.
Process Excellence is No Longer Enough
Traditional Business Analyst strengths remain essential:
- Mapping workflows.
- Understanding business needs.
- Documenting requirements.
- Ensuring systems support operational users.
But today, that is only half the story.
Business performance, confidence, and decision-making increasingly rely on accurate, reconcilable data, not just functioning user interfaces.
A process can work perfectly for operational teams and still fail the organisation if the data it produces cannot be:
- Traced across systems.
- Trusted in reporting.
- Joined across functions.
When this happens, the business often discovers that operational success does not translate into analytical reliability.
A Scenario You’ll Recognise
Consider a common situation. A customer purchases a Product along with several Add-on Products.
Behind the scenes:
- Sales records the Product and its Add-ons.
- Procurement orders the required items.
- Operations or Service assembles the Add-ons as part of a Work Order.
Operationally, everything works.
But at month-end, leadership asks three simple questions:
- What Add-on Products were sold?
- Which procurement activities fulfilled those sales?
- Which Add-ons were assembled through Work Orders?
Suddenly the numbers don’t reconcile.
Sales data, procurement records, and assembly activity all tell slightly different stories. Excel becomes the real system of reconciliation.
The underlying issue is rarely a reporting tool or analytics failure.
Instead, it stems from design gaps, including:
- Undefined relationships between records.
- Missing or inconsistent business keys.
- Mismatched data grain.
- Incomplete or operationally focused requirements.
Redefining The BA Role: From Process Translator to Data Steward
In data-driven organisations, the role of the Business Analyst is evolving.
BAs are no longer just translators between business and technology. They also play a critical role in protecting the integrity of the data ecosystem.
This requires understanding:
- How data flows across processes.
- How systems relate through identifiers.
- How facts will be joined in reporting.
- Where reconciliation depends on relationships.
A BA who ignores data design is unintentionally designing tomorrow’s reporting problems.
The Cultural Shift: From “It Works” To “It Reconciles”
When Business Analysts engage deeply with data:
- Structural issues are identified earlier.
- Reconciliation effort decreases.
- Trust in reporting improves.
Instead of fixing problems downstream, organisations prevent them upstream.
Final Thought
If you design the process, you design the data – intentionally or not.
Data-literate Business Analysts create systems that work both operationally and analytically. Strong governance creates the mandate. Data-capable Business Analysts make it real.
Want to learn more about BI at Stellar?
Let’s talk. Call us on 0800 228 872 or email bi@stellarconsulting.co.nz.
