We partnered with a large retail company to automate their manual data validation process, which was time-consuming, error-prone, and inefficient.
By developing a custom script that integrated with Snowflake and automated report generation and formatting in Excel, we helped the marketing team save time, improve accuracy, and streamline stakeholder communication.
Validating weekly data required running Snowflake queries, exporting results, formatting Excel sheets, and building visuals—taking approximately 6 hours per week.
The process was highly manual and left room for inconsistencies and errors.
The team had SQL knowledge but no experience creating scripts to automate the workflow.
They needed a repeatable solution that required minimal maintenance and reduced manual effort.
The slow, manual process delayed the delivery of validated data to key stakeholders.
These lags reduced the team's ability to act on insights in a timely manner.
Custom R Script Integration with Snowflake - Script queried Snowflake, validated results, and output clean Excel reports.
Automated Excel Formatting & Visuals - The script automatically formatted tables, created visuals, and ensured consistency across reports.
Email Notification Workflow - Once reports were validated, the script triggered an email to the VP of Marketing.
⏱️ 6 Hours Saved Per Week - The automated script reduced weekly data validation time from 6 hours to under 15 minutes—a 96% time savings.
✅ 99.7% Accuracy Rate in Reported Data - Manual error rates dropped significantly after implementation, with validated reports showing near-perfect consistency across 12 consecutive weekly audits.
📈 33% Faster Decision Turnaround - The automated notification workflow cut stakeholder review and approval time from 3 business days to just 2, improving responsiveness and speed to action.
💡 They went from reporting nightmares to automated insights. See how they did it—download the case study collection now!
Automating repetitive data tasks saves time and improves consistency.
A simple scripting solution can have outsized impact across teams.
Automating report reviews enhances transparency and decision-making.
Can this solution work with tools other than Snowflake?
Yes, similar automation workflows can be built with data sources like BigQuery, Redshift, or SQL Server.
How long did it take to implement this solution?
The initial version was built and tested in under 3 weeks, with small refinements added over time.
Do I need to know R to maintain the script?
No. We provide a documented script and walkthrough so that your team can run and adapt it easily.
Is this scalable for enterprise reporting?
Yes. The script can be scaled to support multiple data sources, output formats, and teams.
What are the main benefits?
Time savings, reduced error rates, improved data reliability, and a streamlined communication workflow.