In a world drowning in information, the winners are those who find clarity. Project 19 provides small and mid-sized businesses with the same high-level BI capabilities used by the Fortune 500, transforming raw data into automated intelligence pipelines.
A report is only as reliable as its foundation. We follow a rigorous Extract, Transform, Load methodology to ensure 100% integrity:
Extraction: Securely pulling data from APIs, SQL/NoSQL databases, legacy systems, and SaaS apps.
Hygiene & Transformation: Rigorous cleaning and normalization to eliminate duplicates and skewed insights.
Loading: Architecting high-performance warehouses (Snowflake, BigQuery, Redshift) for lightning-fast querying.
We leverage a modern data stack to turn complex numbers into intuitive, interactive stories.
Standard-Setters: Power BI for Microsoft ecosystem integration and Tableau for complex, deep-dive data storytelling.
Next-Gen Tools: Looker for unified data modeling and Sigma for cloud-scale analytics with a spreadsheet-like feel.
AI-Driven Insights: ThoughtSpot integration allows your team to query data using natural language for instant visual answers.
Identify Levers: Pinpoint the exact products and regions driving your profit.
Predictive Modeling: Shift from “what happened” to AI-driven “what will happen.”
Automated Truth: Eliminate manual Excel updates with real-time, self-refreshing dashboards.
| Category | Our Preferred Tools |
| Primary BI Platforms | Power BI, Tableau, Looker |
| Modern Analytics | ThoughtSpot, Sigma, Mode |
| Data Warehousing | Snowflake, Fabric, AWS Redshift |
| Data Pipelines | Fivetran, dbt (data build tool), Airflow |
| Self-Service Reporting | Google Looker Studio |
