Data
Intelligence
Our Data Intelligence solution helps brands move from scattered data to confident action. We connect market research, dashboarding, SQL-based reporting logic, and ETL design into one decision-making layer so leaders can see where growth is happening and where attention is needed next.
Market research & opportunity studies
Scoping where your market is
moving
Tableau dashboards & scorecards
Executive & operational
reporting
SQL-based reporting structures
Metric logic, segmentation &
definitions
ETL and data-flow design
Cleanliness, consistency &
reliability
WHY IT MATTERS
Decision-grade visibility for growth, operations and
leadership
Most companies have more data than they can use, but less clarity than they need. Reports live in different tools, teams use different definitions, and insights arrive too late. We solve that by designing data systems that make performance visible, understandable, and actionable.
Ideal for
- Leadership teams that need one trusted view of performance
- Field and commercial sales organisations running across multiple regions
- Businesses entering new markets and needing evidence before scaling
- HubSpot or CRM users who need more advanced analytics than standard reports provide
WHAT WE DELIVER
Everything needed to turn data intoconfident decisions
Market research, competitor analysis, and opportunity mapping
Understanding the landscape before building your reporting strategy
Tableau dashboard design for executive and operational reporting
Visual, role-specific dashboards that surface the right metrics for the right audience
SQL-ready metric logic, segmentation rules, and reporting definitions
A shared data language that eliminates misalignment across teams
ETL planning to improve data cleanliness, consistency, and reporting reliability
Clean data pipelines from source to dashboard, with no silent failures
Benchmarking, KPI scorecards, and performance trend analysis
Context and comparison so your numbers tell a story, not just a snapshot
Ongoing insight reviews and optimisation recommendations
Regular review cycles to refine definitions, add metrics, and act on what the data reveals
HOW IT HELPS
One source of truth for every team
Creates a single source of truth across marketing, sales, and operations
Improves territory planning and expansion decisions with evidence
Supports leadership conversations with more confidence and fewer assumptions
Makes decision-making faster through cleaner reporting and cleaner metrics
Reduces manual reporting effort and interpretation conflicts between teams
BEST-PRACTICE APPROACH
Built to explain, not just display
Detailed data pages should not read like technical manuals. They should explain why visibility matters to commercial decisions, then show the framework behind the dashboards and research. That is how this page is structured — so that a non-technical buyer understands the value before they see the mechanics, and a technical buyer can validate the methodology quickly.
THE PROGRAMME
Stages of a data intelligence
engagement
01
DISCOVERY
Discovery and reporting audit
We review current data sources, reporting gaps, stakeholders, KPIs, and recurring decisions that need better information to be made reliably.
02
ARCHITECTURE
Data model and KPI design
We define the logic behind metrics, joins, segment rules, and dashboard structure so reporting reflects the business accurately and consistently.
03
BUILD
Dashboard and insight build
We create Tableau dashboards, benchmarking views, and performance scorecards for leaders and operational teams — designed for clarity, not complexity.
04
INTEGRATION
ETL and reporting enablement
We design cleaner data flows and train teams on how to use the reporting layer in real decision-making so insights drive action, not just reviews.
01
OPTIMISATION
Optimisation and insight loop
We turn data into action through recurring insight reviews, trend analysis, and recommended improvements — so the system stays aligned with business change rather than becoming stale.
KPI FRAMEWORK
The metrics we track across
every engagement
Visibility
Reporting timeliness, dashboard adoption rate, stakeholder trust in the data layer, and reduction in manual report requests
Performance
Conversion trends, CPA trends, revenue by area, and pipeline created — tracked consistently across reporting cycles
Territory
Productivity by region, reach, heatmap coverage, and opportunity density by segment and geography
Operations
Activity leads, QA signals, rep variance, funnel bottlenecks, and pipeline hygiene scored across teams and time periods