EventValidatorAnalytics Strategy & Consulting
Develop your data-driven growth strategy. Comprehensive analytics strategy consulting that aligns your data collection with business objectives. Transform your data into actionable insights with BigQuery.
Start with the decisions your business needs to make.
Illustrative workflow · not live account dataWhen the details make the difference.
- 01Reports disconnected from business goals
- 02Inconsistent KPI definitions
- 03An unclear measurement roadmap
What we bring to the table.
We agree on the exact deliverables before implementation. The work starts with your existing platform and the outcomes you need to understand.
- Business objectives analysis and KPI identification
- Measurement framework and data governance strategy
- BigQuery data warehouse setup and optimization
- Analytics implementation roadmap
- Team training and workshop programs
- ROI measurement systems setup
- Custom audience and segmentation strategies
- Advanced reporting and dashboard development
A useful handover.
The exact deliverables are agreed before work begins. These are the practical outputs we can scope together.
- A KPI map connecting business questions to measurable outcomes, data sources and reporting owners rather than an unprioritized list of events.
- An event taxonomy and parameter dictionary with naming rules, metric definitions and a process for requesting or changing measurements.
- A phased measurement roadmap that separates implementation gaps, data quality checks and reporting work, with dependencies visible to your team.
From questions to a working plan.
A shared process, with a scope specific to your business.
Understand
Review the current setup and agree on the problems and constraints.
Implement
Work through the agreed deliverables and keep your team involved.
Review
Check the implementation, document the work and define the next step.
Good questions. Clear answers.
What is the difference between a measurement plan and a dashboard?
A measurement plan defines which questions to answer, which events to collect and how metrics are calculated. A dashboard presents the resulting data. Planning first helps avoid reports built on inconsistent definitions or incomplete tracking.
Do we need BigQuery for an analytics strategy project?
No. Tool selection follows your questions, data volume and reporting needs. We first assess whether the existing analytics setup is sufficient; a warehouse integration is a separate technical decision, not an automatic requirement.
How do marketing and development teams use the same plan?
The plan records event names, trigger conditions, parameter definitions and ownership in one reference. Developers can implement against it, while marketing and analytics teams use the same definitions when checking campaigns and interpreting reports.
Make your data
work harder.
Tell us what you are building. We will help you measure it better, design it thoughtfully and move it forward.
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