Consulting
Decades of enterprise transformation. Applied to your data.
Our consulting practice brings the operators who led digital transformation at Microsoft, Google, Starbucks, Alaska Airlines, T-Mobile, and Volkswagen directly to your organization's most critical data, AI, and infrastructure challenges.
Why us
We build the infrastructure we consult on.
Most consultancies advise. We operate. DataBillity runs a production-grade consented data lake, API Platform, and an AI-powered platform that serves live customers. Our recommendations come from the same team that built and maintains this infrastructure every day.
Operators, not advisors
Our consultants build and maintain production data systems. The team that runs your engagement is the same team that runs the DataBillity platform.
Enterprise pedigree
Microsoft. Google DeepMind. Starbucks. Alaska Airlines. T-Mobile. Volkswagen. Our team has shipped data and AI systems at global scale.
Full-stack capability
From data strategy boardroom sessions to hands-on dbt pipeline builds. From AI model architecture to production MLOps. One team.
Practice area 01
Data strategy & architecture
Our Data Strategy practice helps enterprise leadership teams build the roadmap - and our Data Architecture practice makes sure it's technically sound and built to last.
Data estate assessment
Comprehensive audit of current data landscape: systems inventory, data flow mapping, and quality scoring.
Data lake & warehouse
Cloud-native design for Snowflake, Databricks, BigQuery. Schema design and ingestion architecture.
Governance framework
Tooling for data classification, access control, lineage tracking, and regulatory compliance.
Consent infrastructure
Consent capture architecture and coupling patterns built to satisfy GDPR, CCPA/CPRA, and PIPEDA.
Migration roadmap
Phased migration plans from legacy systems to modern cloud-native architecture.
Vendor evaluation
Independent evaluation of data platform vendors and AI/ML infrastructure.
Practice area 02
Analytics & business intelligence
Executive dashboards
KPI dashboards in Tableau, Power BI, Looker that answer the questions leadership actually asks.
Metrics framework
Structured metrics framework connecting board-level KPIs to operational definitions.
Self-service analytics
Semantic layer design that enables business users to explore data without writing SQL.
Customer analytics
RFM analysis, cohort analysis, lifetime value modeling, and behavioral segmentation.
Data quality monitoring
Implementation of data quality monitoring with automated alerting and root cause analysis.
How we work
Engagement models.
Advisory retainer
Ongoing strategic counsel for data leadership teams. Monthly strategy sessions and priority access.
- Monthly strategy sessions
- Architecture review on demand
- Quarterly roadmap refresh
Delivery engagement
Scoped, time-bound engagements with dedicated delivery teams embedded in your organization.
- Dedicated delivery team (2-6)
- Fixed scope and timeline
- Knowledge transfer included
Fractional leadership
Fractional CTO, CDO, CPO engagements for organizations that need executive-level leadership.
- Fractional leadership
- Part of your leadership team
- 3-12 month engagements
Your data challenges. Our delivery teams. Let's build.
Whether you need a two-week architecture assessment or a six-month platform build, our consulting practice is ready to deploy.