A Fortune 100, technology company had customer data splintered across multiple IT systems. Client’s Sales Organization was working with close to 120K customer records and 30K products residing in different source systems. Tredence was roped in for data consolidation and help the sales organization improve their performance. During the pilot phase Tredence identified the following
The major problem was to present a holistic view of the customer organization so that the downstream layers can effectively identify new sales opportunities to boost revenue.
The solution had four aspects:
Tredence’s AI/ML based augmented data quality engine Sancus was used to dedupe customer records and a whitespace identification solution was built on top of it to help identify up sell and cross sell opportunities. The solution:
Sancus powered whitespace identification system helped in improving the customer satisfaction ratings and lead to 11% increase in year over year sales.