Data Management

Data architecture that actually gets used

We help businesses design, build, and optimize data infrastructure — from ETL pipelines and warehouses to analytics dashboards your team opens every morning.

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What We Do

Data infrastructure built for the people who use it

Most data projects are built for the data team, not for the business users who need to make decisions. We design data architecture around the questions your leadership actually needs answered.

Data Architecture & Strategy
Designing the right data foundation — source systems, warehouse, data marts, and governance model that keeps everything trustworthy over time.
ETL / ELT Pipeline Development
Extract, transform, load workflows that move data reliably from source systems to your warehouse or data lake, with proper error handling and operational monitoring.
Data Warehouse Implementation
Snowflake, Redshift, BigQuery, Azure Synapse. Dimensional modeling, data mart design, and performance optimization so analysts aren't waiting on queries.
Analytics & BI Dashboards
Tableau, Power BI, Looker, and Salesforce CRM Analytics. Dashboards that answer real business questions — not showcases that nobody opens after month one.
Data Governance & Quality
Data dictionaries, lineage documentation, quality rules, and ownership frameworks. Trustworthy data requires more than good pipelines — it requires process.
Salesforce CRM Analytics
Einstein Analytics, Tableau CRM, and CRM Analytics dashboards built natively in Salesforce — sales performance, pipeline, service metrics, and custom KPIs.
Our Approach

Data infrastructure built for the people who use it

Most data projects are built for the data team, not for the business users who need to make decisions. We design data architecture and dashboards around the questions your leadership, sales team, and operations team actually need answered — not the metrics that are easiest to calculate.

We work backward from the decisions that need to be made, then build the infrastructure that supports them reliably. That means your warehouse schema makes sense to an analyst who wasn't in the design meeting, and your dashboards don't require a data scientist to interpret.

  • Design from business questions backward — not data availability forward
  • Dimensional models that analysts can understand and extend
  • Documented pipelines with monitoring built in from the start
  • Dashboards validated with actual end users before handover
  • Governance documentation so the next person isn't starting from scratch
Platforms we work with
Snowflake
Cloud data warehouse design, schema modeling, performance tuning, and Snowflake-native features like Streams, Tasks, and Snowpark.
dbt (data build tool)
Transformation layer implementation with dbt — modular SQL, testing, documentation, and CI/CD for your data pipeline.
Salesforce CRM Analytics
Einstein Analytics and Tableau CRM implementation — sales, service, and custom KPI dashboards natively in your Salesforce org.
Tableau / Power BI / Looker
Business intelligence dashboards connecting to any data source — designed with and validated by the actual end users.

Ready to get started?

Tell us about your project and we will put together an approach that fits your timeline and budget.

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