Synthetic Data, Real Results: Mattermore’s First Productivity Dashboard
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Context
Mattermore was launching a new platform to measure employee productivity and engagement, but did not have real data to demonstrate it. With only Microsoft Graph documentation to go on, they needed credible dashboards in just 6–8 weeks to show potential buyers.
The company operates in the SaaS / HR Tech space, serving organizations that need visibility into workforce productivity metrics. Without live tenant data or established telemetry, Mattermore faced a critical go-to-market challenge: how to demonstrate product value before having actual customers. [END OF SECTION]
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Challenge
No tenants meant no telemetry, no schema certainty, and no clear KPIs. Mattermore needed to define productivity metrics and simulate data fast. The margin for error was thin: the demo had to feel real, even without real data.
Key obstacles included:
- Zero live data: No existing tenants to pull Microsoft Graph telemetry from
- Schema uncertainty: Only Microsoft Graph documentation available, no validated data models
- Undefined KPIs: Productivity metrics needed to be defined from scratch
- Tight timeline: Only 6–8 weeks to deliver demo-ready dashboards
- Credibility requirements: Demos needed to convince potential buyers despite using synthetic data [END OF SECTION]
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Solution
The goal was a credible demo today and a seamless cutover tomorrow. Brainforge delivered a complete analytics stack using the following approach:
AI-Assisted Data Factory
Generated schema-faithful synthetic data from Microsoft Graph documentation. This ensured that when real tenant data became available, the transition would be seamless with no structural changes required.
dbt Modeling Layer
Built curated data marts including fact_employee_interaction for employee activity tracking. The transformation layer was designed for reusability and tenant-agnostic deployment.
Power BI Templates
Delivered a three-tier dashboard system:
- Executive dashboards: High-level productivity and engagement metrics
- Manager drill-downs: Team-level analytics and performance comparisons
- Individual analytics: Personal productivity insights for employees
Tools shown: Microsoft Graph API, Power BI, dbt, OpenAI logos displayed in the case study footer
Technologies deployed:
- Microsoft Graph API for data schema alignment
- Power BI for visualization and reporting
- dbt for data transformation and modeling
- OpenAI for synthetic data generation [END OF SECTION]
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Results
In just 6 weeks, Mattermore went from blank slate to demo-ready, with reusable models and dashboards that scaled.
Go-to-Market Unlocked
Mattermore could demo its product credibly without waiting for live data. Sales conversations could proceed with realistic, schema-accurate dashboards.
Seamless Cutover
Models and templates mapped directly to Microsoft Graph, making the transition to real tenant data smooth. No rework required when live telemetry became available.
Replication-Ready
Deliverables were tenant-agnostic, setting the stage for future rollouts. Each new customer deployment could leverage the same models and dashboard templates.
Quantified Outcomes:
- 6-week delivery: From zero to demo-ready in 6 weeks
- 3-tier dashboard system: Executive, manager, and individual views delivered
- 100% schema alignment: Synthetic data matched Microsoft Graph structure for seamless cutover
- Reusable architecture: Tenant-agnostic design enabled scalable customer onboarding [END OF SECTION]
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Additional Context
Project Details:
- Location: Remote / USA-based engagement
- Project Type: Data & Analytics (BI_Analytics)
- Function: Product Enablement
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Contact: Book a strategy call or visit www.brainforge.ai [END OF SECTION]
Note: This case study contains qualitative results rather than traditional percentage-based metrics. The primary value delivered was enabling go-to-market capability through synthetic data generation and reusable analytics infrastructure.