The full data
stack, handled.
From messy sources to clean dashboards, we build the data foundation your business can actually make decisions on.
Data Pipelines
Reliable ETL and ELT with dbt and Airflow that ingest, clean, and transform data on schedule, and tell you when something breaks.
Cloud Warehouses
Snowflake, BigQuery, and Redshift modeled for performance and cost, with a single source of truth your whole org shares.
BI & Dashboards
Power BI and Tableau dashboards designed around real decisions, not 200 charts no one opens.
Data Modeling
Well structured, documented data models so metrics mean the same thing in every report and team.
Quality & Governance
Testing, lineage, access controls, and documentation that make your data trustworthy and compliant.
Real Time & Streaming
Streaming pipelines for live operational metrics when daily batches are not fast enough.
From scattered to single source of truth.
We build your data platform in layers, sources first, then trust, then the dashboards leadership relies on.
Audit & Map
We inventory your data sources, current reports, and the questions the business actually needs answered.
Build the Foundation
We stand up the warehouse and pipelines, model the core data, and bake in quality testing from day one.
Visualize
We build dashboards and self serve analytics around real decisions, validated with the people who will use them.
Govern & Scale
We add governance, documentation, and access controls, and train your team to extend the platform themselves.
Questions about
Data Engineering & Analytics
Both are strong. Power BI fits Microsoft centric orgs and budgets well; Tableau excels at rich visual exploration. We recommend based on your stack, skills, and licensing, and build for both.
If reports come from spreadsheets and conflicting systems, yes. A warehouse gives you one governed source of truth so every team’s numbers finally agree. We right size it to your scale.
Absolutely. We integrate with the databases, SaaS apps, and BI tools you already have, and adopt modern stack components (dbt, Airflow, Fivetran) only where they add real value.
Automated data quality tests, lineage tracking, and clear documentation. When a number looks off, you can trace exactly where it came from, and trust the ones that look right.
Yes, a clean, governed data foundation is exactly what AI needs. The platform we build doubles as the feature and training data layer for our AI work.
Stop guessing.
Start building what works.
Book a free discovery call. We'll map your needs, scope the work, and give you an honest plan, timeline, cost, and trade offs included.
info@croncore.com