- 80-90%
- Time savings
- 8-16 weeks
- Implementation
- 280%+
- ROI
The problem
Dashboards get built, then ignored — because they answer questions nobody asked and hide the ones that matter.
Our approach
We build the analytics our own platforms report on: revenue, growth, and operational metrics that drive decisions. We start from the questions you need answered, not the charts that look impressive.
What we deliver
The capabilities we bring to a data & analytics engagement.
Data Warehousing & ETL
Centralize your data for comprehensive analytics and reporting with modern data warehouse solutions.
- Data warehouse design (Snowflake, BigQuery, Redshift)
- ETL/ELT pipeline development
- Data lake architecture
- Data modeling & schema design
- Real-time data streaming
- Data quality & validation
Business Intelligence
Turn data into actionable insights with powerful BI dashboards and reporting.
- Interactive dashboards (Tableau, Power BI, Looker)
- Custom reporting solutions
- Self-service analytics
- KPI tracking & monitoring
- Embedded analytics
- Mobile BI applications
Advanced Analytics
Leverage predictive analytics and data science for strategic decisions.
- Predictive modeling & forecasting
- Statistical analysis
- Customer segmentation
- Churn prediction & prevention
- Market basket analysis
- Time series analysis
Data Visualization
Create compelling visualizations that tell your data story.
- Custom dashboard design
- Interactive charts & graphs
- Geo-spatial visualizations
- Real-time data displays
- Executive reporting
- Data storytelling
Database Management
Optimize and manage your databases for performance and reliability.
- Database design & optimization
- Query performance tuning
- Index optimization
- Backup & disaster recovery
- Database migration services
- Multi-database management
Data Governance
Ensure data quality, security, and compliance across your organization.
- Data governance frameworks
- Master data management
- Data lineage tracking
- Access control & security
- Compliance (GDPR, CCPA)
- Data cataloging
How it fits together
- App & product data
- Payments & revenue
- Third-party systems
- ETL / ELT ingestion
- dbt modeling
- Data quality checks
- Governed metrics layer
- Attribution & cohorts
- Documented definitions
- Decision dashboards
- Self-serve BI
- Scheduled reports
We don't just offer this service — we shipped and run live products that prove it:
Calimatic Partners
Real-time analytics and attribution powering 500+ partners and $2M+ in payouts.
Real-world results
Enterprise Data Warehouse for Retail Chain
Challenge
A multi-location retail chain had data scattered across 50+ stores, an e-commerce platform, and an ERP system, with reports taking 3-5 days to generate, no real-time inventory visibility, and no cross-channel customer analysis.
Solution
Built a cloud data warehouse on Snowflake with automated ETL pipelines from all sources, a star schema for efficient querying, Power BI dashboards for sales/inventory/customer analytics, and real-time streaming for critical metrics.
Results
- Reduced report-generation time from days to minutes (99% improvement)
- Achieved real-time inventory visibility across all 50+ locations
- Identified $2.3M in revenue opportunities through customer analytics
- Improved inventory turnover by 28% with data-driven stocking
- Decreased stockouts by 65% with predictive inventory models
- Saved $450K annually by optimizing purchasing decisions
Healthcare Analytics Platform
Challenge
A hospital network needed to analyze patient outcomes, operational efficiency, and financial performance across 8 facilities, with data in 12 different systems, no way to track the patient journey, and value-based-care reporting struggles.
Solution
Developed a HIPAA-compliant data warehouse integrating EHR, billing, lab, and pharmacy systems, a custom Looker analytics platform for clinical/operational/financial dashboards, and predictive models for readmission risk and resource utilization.
Results
- Reduced patient readmissions by 32% with predictive analytics
- Saved $3.8M annually through operational efficiency improvements
- Improved patient-satisfaction scores from 3.6 to 4.5 out of 5
- Decreased emergency-room wait times by 40%
- Achieved 98% accuracy in value-based-care reporting
- Identified $1.2M in billing errors and revenue leakage
Customer Analytics for SaaS Company
Challenge
A fast-growing B2B SaaS company had an 18% annual churn rate, no visibility into product-usage patterns, no way to identify at-risk customers, and a marketing team deciding on gut feeling rather than data.
Solution
Built a real-time analytics platform integrating product usage, CRM, support tickets, and billing data, a machine-learning customer-health-scoring model, Tableau dashboards for customer-success/product/marketing teams, and cohort analysis with funnel optimization.
Results
- Reduced churn from 18% to 8% (56% improvement), saving $2.4M annually
- Increased upsell revenue by 145% with predictive customer scoring
- Improved trial-to-paid conversion by 38% through funnel analytics
- Identified the top 20% of customers generating 75% of revenue
- Decreased customer-acquisition cost by 42% with data-driven marketing
- Achieved 89% accuracy in predicting customer churn 60 days in advance
Technology stack
Why Caliber
- Make data-driven decisions 10x faster with real-time dashboards
- Reduce reporting time by 80% with automated BI solutions
- Improve operational efficiency by 45% through data insights
- Identify revenue opportunities worth 15-25% of annual revenue
- Centralize data access across the entire organization
- Ensure data security and regulatory compliance
- Eliminate data silos with a unified data warehouse
- Predict trends and outcomes with 85%+ accuracy
- Scale analytics as data volume grows
What you get
- Data pipeline and warehouse
- Dashboards tied to real decisions
- Self-serve reporting for your team
- Data quality and documentation
Common questions
We start from the decisions you need to make and work back to the data. Dashboards go unused when they answer questions nobody asked — we fix that first.
Let's build your data & analytics.
Tell us what you need. We'll come back with a clear proposal — scope, approach, and timeline.