Universal Containers is establishing a call center that will use Salesforce. UC receives 10 million calls and creates 100 million cases every month. Cases are linked to a custom call object using lookup relationship. UC would like to run reports and dashboard to better understand different case types being created on calls to better serve customers. What solution should a data architect recommend to meet the business requirement?
A.
Archive records to a data warehouse and run analytics on the data warehouse.
B.
Leverage big objects to archive records and Einstein Analytics to run reports.
C.
Leverage custom objects to store aggregate data and run analytics.
D.
Leverage out-of-the-box reports and dashboard on case and interactive voice response (IVR) custom object.
B.
Leverage big objects to archive records and Einstein Analytics to run reports.
Explanation
Given the vast volume (10 million calls, 100 million cases monthly), Salesforce standard reporting capabilities aren’t suitable. Big objects efficiently manage and archive massive volumes of data directly within Salesforce without significantly affecting performance or incurring heavy storage costs. Einstein Analytics (now Tableau CRM) is specifically designed for large-scale analytics and visualization, optimized for high-volume datasets and performant analytical processing. Custom objects (C) and standard reports/dashboards (D) can’t handle these volumes efficiently, and external archiving (A) introduces complexity. Big objects with Einstein Analytics offer a scalable, high-performance solution perfectly tailored for large-scale analytics