Decision-Grade Retail Analytics

For a retail client, automated reporting and analytics reduced job SLAs to expected levels, resulting in a 30% decrease in tickets raised.

The Challenge

Decision-makers at a major retail client were flying blind. Critical sales and inventory reports took days to generate, meaning strategic decisions were always based on outdated data. This led to:

• Missed trends and opportunities.
• Inreactive stock management.
• High volume of IT tickets requesting ad-hoc data pulls.

The Solution

We implemented a modern data pipeline and reporting suite:

1. Automated ETL Pipelines: Replaced brittle manual scripts with robust, automated data extraction and transformation.
2. Self-Service BI Dashboard: Empowered business users to view key metrics in real-time without IT intervention.
3. SLA Monitoring: Set up automated alerts for data freshness and job completion.

The Outcome

The impact on data culture was profound:

• Report generation time dropped from days to minutes.
• 30% decrease in IT tickets related to data requests.
• Executives now make decisions based on near real-time data.