Understanding Enterprise Architecture for Conversation Aggregation
Blog post from Symbl.ai
The Symbl.ai platform is addressing enterprise pain points in conversation analytics by tackling the issue of conversation isolation. This occurs when insights from individual conversations are siloed and not aggregated to establish patterns between multiple conversations, hindering predictive analyses and optimizations. Enterprises have more lofty goals than mid-market businesses, requiring predictive analyses and outcome scenario optimizations. Symbl.ai's platform helps solve this problem by aggregating all conversations and applying predictive analytics to them. The platform offers various use cases, such as enhancing support in call centers and understanding customer needs before they do, by analyzing keywords, sentiment, and patterns across multiple conversations. By doing so, it enables businesses to take a proactive approach via automation, optimize outcomes, and alter their decision-making process for higher returns on investment.
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