Deduplication of Customer Information Using Fuzzy Based Data Workflow
Scalefresh built an advanced fuzzy-based data workflow to remove duplicate customer information, enabling an accurate view of customers and their renewal opportunities.
Dec 05, 2020 | Case Study
Objective
The client’s leadership launched a new initiative to drive higher attach of support, services, and training products to core software subscriptions. Scalefresh was roped in to design the attach algorithm, build data workflows, and create dashboards to visualize attach rates and attach revenue.
Approach
Outcome
Scalefresh built an advanced fuzzy-based data workflow to remove duplicate customer information, enabling an accurate view of customers and their renewal opportunities.
By analyzing won and lost deals, we provided insights for offering the right discounts, resulting in reduced non-standard discounts and improved ARR.
Built a support dashboard to visualize customer support metrics for the client’s end customers, enabling them to understand better the value of excellent support offered.