Turn Your Data Into Decisions
Dashboards, reporting and predictive analytics that give every team one trusted version of the truth — and the insight to act on it.
At a Glance
- Engagement
- Fixed-price or dedicated team
- First response
- Within 1 business day
- Scoped quote
- Within 48 hours
- Ownership
- Full source & IP transferred
Core Stack
Data Analytics Services
BI Dashboards
Executive and operational dashboards in Power BI, Looker or Metabase, tuned to the metrics that matter.
KPI & Reporting
Automated, accurate reporting that replaces brittle spreadsheets and manual exports.
Self-Service Analytics
Governed datasets and semantic models so teams can answer their own questions safely.
Predictive Analytics
Forecasting, churn and propensity models that move you from hindsight to foresight.
Marketing & Product Analytics
Funnel, cohort and attribution analytics that show what's actually driving growth.
Data Quality & Governance
Validation, lineage and definitions so everyone trusts the numbers.
The KeasBrain Difference
- One source of truth — Consistent metric definitions across every team and dashboard.
- Decision-focused — We design around the decisions you need to make, not vanity charts.
- Self-serve ready — Governed models let teams explore without breaking trust in the data.
- AI-ready foundations — Clean, modeled data that's ready for ML when you are.
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Years of Experience
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Projects Delivered
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Happy Clients
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Client Satisfaction
A Clear Path From Idea to Impact
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1
Discover
Free consultation + scope audit
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2
Design
Architecture & UX validated upfront
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3
Build
Agile sprints with weekly demos
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4
Scale
Launch, monitor & optimize
Tools & Platforms We Use
Data Analytics Questions
Power BI for Microsoft estates, Looker for modeled self-service, Metabase for fast and cost-effective starts. We pick based on your stack, team and budget.
Yes — most engagements start with cleaning, modeling and defining metrics. Reliable dashboards depend on it, so we do that groundwork first.
Yes — we build governed semantic models and trained datasets so teams answer their own questions without inconsistent numbers.
Yes — once the reporting foundation is solid, we add forecasting, churn and propensity models where they drive real decisions.