TechCorp, a fast-growing SaaS company, was outgrowing its disjointed data infrastructure. Data was siloed across multiple platforms, making cross-channel analysis nearly impossible. Reporting was a manual, time-consuming process that took days to complete, and data accuracy was a constant concern.
We proposed a modern data stack solution, building an ETL (Extract, Transform, Load) pipeline to consolidate data from various sources into a central cloud data warehouse. This involved implementing server-side tagging with Google Tag Manager to improve data quality and bypass client-side tracking limitations.
The new architecture centralized data from their product, CRM, and advertising platforms into BigQuery. This single source of truth enabled us to build automated, real-time dashboards in Google Looker Studio, providing stakeholders with instant access to critical business insights.
The new data infrastructure revolutionized TechCorp's ability to leverage data. The automated pipelines and dashboards dramatically reduced the time spent on manual reporting, freed up the data team to focus on higher-value analysis, and instilled confidence in the accuracy of their data.
Improvement in data operations
Improvement in data operations
+90%
Lead Quality Score
-40%
Cost Per Acquisition
+150%
Follower Growth
+80%
Engagement Rate
+200%
Organic Traffic
#1
Keyword Ranking
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