Use historical support case data from backups to create seamless customer experiences.
Challenge: Training new support reps and scaling triage approaches is challenging without access to complete case histories and issue resolution details from historical data.
Why it Matters: Time-series backup data offers valuable insights into trends and patterns not captured by standard production data, enabling proactive support that drives satisfaction and loyalty.
Objects Referenced: Case, Contact, User
Recommended Attributes: Case Status, Response Time, Resolution Time, Sentiment Score, Agent Notes
Unlock insights into how and when specific triggers impact product win rates throughout the sales cycle.
Challenge: For B2B companies, understanding product purchase behavior is challenging without insight into past opportunity changes, as current data only offers a snapshot and lacks context on customer evaluations.
Why it Matters: With time-series data, companies can track how and when certain triggers occur in a sales cycle and which correlate with successful renewals or cross-sells.
Objects Referenced: Opportunity, Product, User
Recommended Attributes: Products, Opportunity Stage, Closed Date
Own Discover turns traditional backups into powerful time-series datasets, driving smarter business decisions with sales trends, forecasts, and customer insights.
See Discover Use Case Overview
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