AI Without Data Strategy Is Just Expensive Guesswork
AI projects fail when companies buy tools before they fix data quality, metric definitions, and reporting ownership. The smarter move is a pre-flight audit before a bigger AI bet.
Read articleWe help scaling SaaS companies turn messy data into confident decisions
— start with a free audit.
Free Audit
1-day expert review of your stack
What you get
Clear summary with top priorities
No strings
Complimentary, no commitment
Only 5 free audits per month. Trusted by data teams at companies from 50 to 5,000 employees.
Built for SaaS
Product analytics, revenue metrics, customer data — SaaS companies generate more data than most. We bring the clarity to make it useful.
Built by data practitioners who've designed data architectures from seed to IPO
Real operators, not academics — clara means “clear”
5-dimension Data Maturity Framework used by scaling SaaS teams
Infrastructure, Governance, Analytics, Culture, Roadmap Clarity
Tools & platforms we bring clarity to
No long sales calls. No 100-page proposals. Just clear, actionable insight — fast.
Fill out a quick 2-minute form with your tools, team size, and biggest data pain point.
Our data practitioners review your setup against our 5-dimension framework. Free audits come back within 1 business day.
Receive a concise summary with top priorities and a clear recommendation on whether the $1,500 Deep Dive is worth it.
Every engagement starts with our proprietary framework. We assess where you are across five dimensions — so the path to clarity is never a guess.
Pipelines, warehouses, data flow reliability
Ownership, quality, access controls
Self-serve reporting, metric consistency
Data literacy, adoption, decision-making habits
Strategic alignment, prioritized next steps
Series B SaaS Company · 120 employees · $18M ARR
The problem: Five different teams pulling metrics from three different tools, none of which agreed. Executive reporting took 2+ days to compile. Two analytics engineers spent most of their time reconciling numbers instead of building insights.
What we did: Started with a free Data Stack Audit, then moved into a Deep Dive Audit and full Data Readiness Assessment. We mapped every data source, identified redundancies, and designed a clear architecture using their existing Snowflake instance and dbt.
Preview our deliverables
See a complete sample audit — findings, recommendations, and 90-day plan
Realistic example for a fictional SaaS company, so you know exactly what to expect.
Two ways to get started
Start with a complimentary audit to see where you stand, or go straight to a comprehensive deep dive for a detailed action plan.
Expert review of your stack with a clear summary of what is working, what is not, and where to focus next.
Book Free AuditComprehensive infrastructure mapping, governance review, tooling assessment, and a detailed report with prioritized recommendations and a 90-day action plan.
Buy Deep Dive AuditBest for SaaS teams that know something feels off but want a precise next step before committing to a larger engagement.
Most SaaS teams start with a free audit. From there, you decide how deep to go.
A complimentary 1-day audit of your data stack. Get expert eyes on your setup and a clear summary of what is working, what is not, and where to focus.
Book Your Free AuditA thorough 2-day audit with infrastructure mapping, governance review, tooling assessment, and a detailed report with prioritized recommendations.
Buy Deep Dive AuditFull maturity scorecard + executive brief. Clear roadmap, clear priorities. 1-2 weeks.
Learn MoreArchitecture blueprint, tool recommendations, hiring plan & 90-day execution roadmap.
Get in TouchProduction-ready data warehouse, automated pipelines, dashboards — built and handed off.
Get in TouchExecutive data leadership embedded in your SaaS company. Strategy, vendor eval, team coaching.
Get in TouchAI projects fail when companies buy tools before they fix data quality, metric definitions, and reporting ownership. The smarter move is a pre-flight audit before a bigger AI bet.
Read articleScaling SaaS companies outgrow spreadsheets long before they can justify a giant consulting engagement. The real need is practical data strategy, cleaner metrics, and clear next steps.
Read articleUse this simple data stack assessment to evaluate your infrastructure, ownership, reporting reliability, and roadmap in half an hour.
Read articleA fractional CDO is often the right fit when the business has meaningful data complexity but not enough scope for a full-time data executive.
Read articleAudit your SaaS data stack across 8 critical areas — 40+ checkpoints covering source systems, warehouse, pipelines, metrics, and more.
Take our free 60-second Data Maturity Quiz — get your score across all 5 dimensions and find out what your right next step is.