BI Modernization
Transforming Analytics Capabilities with Data Platform Implementation and BI Adoption
A regional digital infrastructure provider needed to transform its analytics capabilities by implementing a comprehensive data platform and adopting a business intelligence process with intuitive dashboards and self-service BI.
Client Challenges and Requirements
- Challenges in managing and leveraging data effectively for analytical insights.
- Lack of robust data platform for analytics.
- Inefficient data modeling for analytical purposes.
- Need for improved data quality and governance.
- Establish a seamless connection between disparate data sources for reporting purposes.
- Enabling users for self service BI.
Bitwise Solution
Bitwise addressed challenges through a phased approach comprising of Discovery, Data Platform Implementation, and BI Adoption.
- Discovery Phase: Collaborated to understand business objectives and data landscape. Identified key pain points and requirements for analytics.
- Data Platform Implementation: Designed and deployed a streaming pipeline to extract data from a centralized data hub, transferring it to AWS S3 in Iceberg format. Subsequently, constructed an analytical layer in Snowflake, utilizing external tables for efficient reporting.
- BI Adoption: Defined reporting requirements and built dashboards in Tableau. Guided in developing new reports and replacing existing ones. Enabled actionable insights through intuitive visualizations. Enabled self-service BI.
Tools & Technologies We Used
Heroku PostgreSQL
Heroku Kafka connector
Snowflake
AWS S3, Iceberg
Tableau
Key Results
Establishment of a robust data platform tailored to analytics requirements
Improved data modeling within Snowflake for enhanced analytical capabilities
Enhanced data quality and governance through rigorous validation process
Empowered business users with actionable insights through intuitive analytical dashboards
