Streamlining Data Operations for Improved Efficiency
A data-heavy organisation was drowning in silos and manual processes. D2i Technology rebuilt their entire data stack on GCP — cutting processing time by 60% and unlocking revenue growth within a single quarter.
The Problem
The company faced mounting challenges handling vast, diverse data sources. Multiple data silos, fully manual extraction processes, and rampant data quality issues hampered decision-making, caused missed market opportunities, and steadily inflated operational costs.
- Fragmented data silos across departments
- Manual extraction taking 72+ hours per cycle
- No standardised data quality validation
- Insights delayed by weeks, not hours
The Solution
D2i Technology designed and deployed a unified, automated data platform built for scale and reliability on Google Cloud Platform.
- Integrated batch & real-time data sources with ETL pipelines on GCP
- Designed a robust data warehouse architecture for consolidated data
- Orchestrated automated data workflows to eliminate manual errors
- Implemented data quality checks, profiling & validation to fix anomalies
The Results
From 72-Hour Lag to Real-Time Decisions
Before the engagement, the client’s data analysts waited up to three weeks for consolidated reports — by which point market signals had already shifted. After D2i Technology delivered automated GCP pipelines and a centralised data warehouse, the same reports became available in under three hours. This speed advantage directly enabled the product team to adjust pricing and inventory in near real-time, generating a 30% uplift in quarterly revenue.
Operational costs dropped by 30% as manual extraction headcount was reallocated to higher-value analytics work. Data quality defects — previously discovered weeks after the fact — are now caught at ingestion, reducing downstream rework to near zero and contributing to a 15% reduction in customer complaints tied to data-driven product errors.
Before & After
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