Sterling Talent Solutions, the world's largest background screening provider, performs over ten million background checks a year. This ultimately left the firm with hundreds of millions of transactional events that need to be analyzed to derive insights into how their product and performance is delivering for customers.
In the past, Sterling’s expert reporting team managed everything in Excel. With only a small group of data experts to service the business users, the result was a massive backlog and long wait time for managers who needed answers to critical business questions.
Disparate Systems, Long Waits for Reports
Account managers were struggling to analyze customer info, product usage, and other 3rd party data. They had to pull information from multiple systems, and their legacy BI tools required advanced SQL skills. This meant they depended on an understaffed IT team to produce reports for them. And as the organization scaled, the limited IT team became a bottleneck for business users who needed reports.
We’re now up to 500 weekly active business users. Adoption has been rapid.
Cindy Villamil, Data Strategy Manager
Access to Information at Scale
With ThoughtSpot, managers on the sales and marketing teams are now able to join disparate data systems, tie OPAC reports to top retailer background reports, and build use cases around the outliers. They’re accomplishing this without relying on technical IT staff or lengthy training sessions.
The system will actually present to me the information that I need before I'm even done typing in my query.
Michael Thompson, Director of Regional Sales
Access to information at scale is no longer a roadblock. Sterling employees are searching across terabytes of peer reference data instantly. Data analysts are monitoring usage, data quality, and KPIs to enable new users and drive adoption across the company.
Product managers are analyzing product activity by customer to identify outliers, perform root-cause analysis and provide proactive customer service. Account managers are analyzing customer activity by product to drill down to the individual customer level to identify critical details about each customer account.
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