Case study
Sales and Training Analytics on Looker Studio
How SquareShift modernized sales and training analytics for a semiconductor manufacturer using Looker Studio.
The bottleneck usually isn't the data — it's that every question routes through an analyst. Self-service dashboards only work once the underlying metrics are trustworthy enough to hand over.
Data & Analytics Practice Lead, SquareShift
A leading American semiconductor manufacturer that also builds infrastructure software, serving thousands of global partners, customers, and employees.
It needed timely, accurate reporting on sales performance and training engagement to drive operational decisions.
- Centralized dashboards — Sales, revenue, and training data unified from scattered systems into one Looker Studio view.
- Partner visibility — Training status now visible in real time to both partners and internal teams.
- Self-service analytics — Business teams run their own reports, cutting reliance on analysts.
How SquareShift delivered it.
The challenge
Thousands of sales and training reports sat scattered across siloed systems, with no consistent way to see performance across teams, regions, or the partner network. Every new report or update ran through an analyst, slowing the operational decisions the business needed to make.
What we delivered
SquareShift’s data analytics team built a full-stack reporting solution on the Google Cloud ecosystem: centralized, interactive Looker Studio dashboards for sales, revenue, and training progress, with BigQuery unifying and transforming data pulled from multiple internal systems. Google Sheets stayed wired in for manual overrides and stakeholder input, and a dedicated training status tracker gave partners and internal teams the same real-time view.
The payoff
Sales and training data now live in one place instead of scattered across systems, with partners and internal teams both seeing training status in real time. Dashboards built on a scalable architecture let business users run their own reports, cutting the team’s day-to-day dependence on analysts.
Where this work sits