Core Service

Data Integration

Data integration combines information from CRMs, ERPs, and marketing tools into one consistent single source of truth.

Definition and Function

Data integration unifies data from disparate systems using ETL, ELT, data virtualization, and API-based connections to create consistent enterprise-wide data access.

Benefits

It removes data silos, improves operational efficiency, and raises data quality by standardizing and cleaning information. Clean, unified data also enables AI and machine-learning use cases.

Measurable Savings and Revenues

Reported outcomes include 2.8x ROI within 30 months, data virtualization that runs 5 to 10 times faster than traditional methods, up to 346% ROI with $4.2M three-year NPV, report preparation reduced from hours to minutes, and AI-powered fraud detection accuracy around 91% delivering about $3.2M annual savings for a typical mid-sized bank.

Generic end-to-end data pipeline architecture Animated diagram showing data flowing from source files through ingestion layers into a central data lake, then to a semantic model and BI dashboard. Source datasets CSV Fact Orders CSV Order Details XLSX Customers Products · Shippers CSV Categories Date Column store DB Storage link → Data lake Managed SQL DB ETL pipeline Transform engine transform & load Flat files load to tables Data lake SQL analytics endpoint Distributed compute underpins processing layer Semantic model visualize BI dash board by Musili Adebayo

Explore Core Services

Data Integration Data Modeling Reports and Dashboards Data Governance