Services / Data Catalyst
Define the Data Behind a Decision
Discuss a proposed advisory scope for defining measures, sources, ownership, quality questions, and a dashboard specification before deciding whether to build.
The Data Challenge
This option may suit a team that needs shared definitions and source accountability before relying on a report.
Data Silos
Information trapped in separate systems with no unified view of performance.
No Clear Insights
Lots of numbers but no understanding of what they mean for your business.
Manual Reporting
Hours spent creating reports that are outdated by the time they're finished.
Gut-Based Decisions
Important decisions made on intuition instead of data-driven evidence.
Proposed advisory scope
Possible activities include decision interviews, metric and source inventory, definition workshops, quality questions, and dashboard specification. Availability and fit are confirmed during scoping.
Data Strategy
Connect each proposed measure to a business question, definition, audience, and decision owner.
Source and govern
Identify source, field logic, data owner, quality checks, access constraints, and refresh expectation.
Specify and decide
Propose a dashboard wireframe and acceptance questions. Data engineering, tool configuration, dashboard build, and ongoing reporting are separate unless agreed.
Proposed deliverables
Data Strategy Blueprint
A decision-focused inventory of measures, sources, owners, constraints, and open questions.
Dashboard specification
A proposed layout and interaction notes; not a built or real-time dashboard.
Operational Reports
Proposed report definitions, audiences, cadence, and review responsibilities.
KPI Framework
Draft definitions, calculation logic, exclusions, source, and accountable client owner.
Validation checklist
Questions for client subject experts to test definitions and figures.
Implementation brief
Requirements and dependencies that a separately appointed implementation team could assess.
Illustrative sample: dashboard definition
This fictional sample demonstrates format only. It is not client work, a verified metric, or a functioning dashboard.
Sample metric record
- Name: Open requests at period end
- Definition: requests received but not recorded as closed at the agreed cutoff
- Source: client-designated request register; source suitability must be validated
- Owner: client-named operations owner
- Refresh: proposed review cadence to be agreed based on decision need and source availability
Related planning: process ownership and marketing attribution.
Our Approach to Data Analytics
Advisory work can clarify the business requirement. The client remains responsible for lawful access, privacy, security, source accuracy, definitions, and final validation.
Strategy First
A proposed review starts with the client's decision and works backward to candidate measures and source requirements.
Implementation Oversight
Any technical implementation provider, tool, commercial arrangement, and delivery responsibility must be selected and agreed separately.
User Adoption Focus
Client users review wireframes and definitions; usability and adoption cannot be guaranteed.
Is This Right for Your Business?
This may be worth discussing when client owners can supply lawful source access, definitions, subject experts, and validation decisions.
Clarify a data question
Describe the decision, current report, source owner, and definition concerns.
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