We do not stop at dashboards. We build a decision layer for SaaS leaders — from what happened to what happens next.
SaaS companies collect immense amounts of data. But without a unified architecture, teams end up with conflicting metrics, manual reporting, and zero predictability.
Marketing, Sales, and Finance report different ARR numbers. No single source of truth.
Days spent exporting CSVs and fighting spreadsheets instead of analyzing the data.
Finding out about churn after it happens, rather than identifying at-risk accounts early.
Inconsistent naming conventions and dirty CRM data leading to untrustworthy dashboards.
Connecting your entire tech stack into a unified, reliable data warehouse.
Building robust pipelines, data warehouses, and automated ETL processes to centralize your metrics.
Designing intuitive, real-time dashboards for executives, investors, and operators.
Funnel analysis, pipeline velocity, CAC/LTV modeling, and sales capacity planning.
Feature adoption tracking, user cohort analysis, and product-led growth (PLG) metrics.
Churn prediction algorithms, lead scoring, and advanced statistical forecasting.
We help you transition from answering "What happened?" to "What will happen?"
Accurate historical data and automated dashboards.
Understanding trends, churn reasons, and segmentation.
Statistical modeling to predict churn and pipeline.
Review existing tools, data quality, and business requirements.
Deploy warehouse, configure ETL connectors, and clean data.
Build dbt models for ARR, churn, and core SaaS metrics.
Develop executive dashboards and operational reports.
Training teams to use data and implementing governance.
Auto-updating slides connected directly to your data warehouse. No more manual copy-pasting for board meetings.
Automated daily Slack/Email digests showing cash position, new MRR, and critical alerts.
Standardized cohort data, unit economics, and historical financials ready for due diligence.
Live tracking of marketing pipeline, sales quotas, and customer success targets.
Investors expect instant answers to complex cohort questions. If it takes you two weeks to compile retention data, it signals operational immaturity.
Take The Readiness AssessmentFor early-stage SaaS.
For scaling startups.
For mature SaaS.
Custom requirements.
Data preparation and metric narrative building for Series A/B raises.
Pre-diligence data room audits and operational readiness assessments.
Merging data stacks and standardizing reporting post-acquisition.
Identifying burn rate leaks and optimizing unit economics quickly.
Book a free data architecture audit with our engineering team today.
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