100% unified data access
Faster insights delivery
Robust GCP architecture
Seamless BI integration
The challenge
Overcoming fragmented data sources and standardization hurdles
A Fortune 500 CPG client struggled with disparate data sources, making it hard to maintain consistency and accuracy. Without a standardized approach, critical insights were elusive. They needed a robust, harmonized data ecosystem to enable consistent analysis and support strategic decision-making.
Key challenges
Multiple unaligned data feeds
Lack of standardization rules
No single source of truth
Complex cross-system integration
The solution
Implementing a unified data warehouse with Concordia
Data harmonization
Concordia-based mapping
Standardized schemas
Automated data flows
GCP and Snowflake setup
Centralized data storage
BI tool integration
Scalable architecture
Implementation approach
1
Design thinking
Requirements gathering
Iterative prototyping
Collaborative workshops
2
Data engineering
ETL in GCP
Snowflake deployment
Rule-based transformations
3
Enterprise adoption
Training sessions
Documentation support
Continuous improvements
The impact
Delivering a single source of truth for strategic decisions
Operational efficiency
Consistent data quality
Faster queries
Reduced manual effort
Decision-making insights
Enhanced product strategy
Reliable metrics
Data-driven actions
Scalable architecture
Seamless integration
Future-ready platform
Flexible expansions
Looking ahead
Extended data sources
Integrating a network of global feeds
Advanced analytics
Deeper BI capabilities on the horizon
Continuous research and innovation
Ongoing schema refinements
