The Solution
Optimized Dataflows, Extended Dashboard Functionality, and a Data-Driven Solution
We established an Elevate team (Elevate being Atrium’s managed services offering) to work through SCI’s CRM Analytics backlog items over the course of several releases. SCI’s dataflows were optimized to support dashboard extensions and improvements. Executive dashboard functionality was extended and data visualizations were broadened, supporting sales manager stakeholders.
Many new requirements have surfaced throughout our engagement, and Atrium continues to partner closely with SCI’s analytics team to address requests as they are prioritized and to provide general thought leadership as the analytics team members ramp up their capabilities on the platform.
Intelligent Experience Workshops for Sales Stakeholders
In order to drive out a vision for how data can be leveraged to achieve SCI’s sales objectives, Atrium hosted a series of Intelligent Experience Workshops with a variety of sales stakeholders. We identified and aligned on business objectives, defined and prioritized persona-based pain points and use cases, and established a vision for a data-driven solution.
A Comprehensive Solution Customized to Suit SCI’s Needs
We developed a comprehensive solution by leveraging Lightning Web Components (LWC), custom Apex batch processes, CRM Analytics, and Einstein Discovery.
LWC:
Built a Monthly Action Plan (MAP) for counselors and managers to set their daily activity and board volume goals.
Apex Batch Process:
Used to generate recommendations based on past performance and to calculate daily activity updates.
CRM Analytics
was used to:
- Embed a dashboard on counselors’ Homepages to display their daily and monthly progress toward goals as well as activities required for the day to achieve their monthly goals
- Embed a dashboard on the Account Page to highlight account-specific metrics
- Build dashboards and leaderboards for the counselors and managers to track additional sales performance and quality of sale metrics
Einstein Discovery
models were implemented for:
- Likelihood for a Lead to Convert
- Likelihood for an Account to Convert
- Account Rating
- Predicted Forecast