Critical business data is scattered across dozens of tools with no single source of truth
Reports take days to generate and are outdated by the time stakeholders see them
Data quality issues mean you can't trust the numbers driving decisions
Technical teams spend 80% of their time wrangling data instead of analyzing it
Fayora builds modern data platforms that consolidate all your sources, automate cleaning and transformation, and deliver real-time insights via dashboards and APIs. We design for scale, governance, and self-service analytics so business users get answers without waiting on IT.
Centralized cloud data warehouses (Snowflake, BigQuery, Redshift) designed for performance, cost efficiency, and governance.
Automated pipelines that extract, transform, and load data from any source with scheduling, error handling, and monitoring.
Interactive dashboards in Tableau, Power BI, or Looker with drill-downs, filters, and automated distribution.
Automated data validation, lineage tracking, access controls, and compliance (GDPR, HIPAA) baked into the platform.
Our proven methodology ensures successful delivery and adoption
Catalog all data sources, assess quality issues, and identify key business metrics and KPIs.
Design data models, choose tech stack, and map out integration points and transformation logic.
Build ETL jobs, set up warehouses, implement data quality checks, and test with production data.
Create BI dashboards, set up alerts, and enable self-service analytics for business users.
Monitor performance, optimize query costs, add new data sources, and expand analytics use cases.
Applications
Outcome
Unified 15 data sources, 10x faster insights
Applications
Outcome
Real-time metrics reduced churn by 18%
Applications
Outcome
Automated 40+ manual reports, HIPAA compliant
Built on enterprise-grade technologies for reliability and scalability
We analyze your needs and define clear objectives
Create detailed solution architecture and roadmap
Develop and test in agile sprints with your feedback
Launch with training and ongoing optimization