EpiAnalytics delivers transformative text analytics solutions using a powerful combination of Artificial Intelligence (AI), machine learning and natural language processing (NLP) technology to monetize the corporate data you already have.
USE MORE OF YOUR DATA TO INCREASE SALES, REDUCE CUSTOMER CHURN, ENHANCE THE CUSTOMER EXPERIENCE, CONTROL EMPLOYEE ATTRITION, PROVIDE EARLY WARNING DETECTION, AND MORE.
Industry analysts report that unstructured text is the single largest source of unprocessed and underutilized customer data and is growing rapidly in today's customer-centric world. Over 85% of corporate data is unstructured. Additionally, on average, corporate data doubles every three months. Harnessing this data is critical to competitive growth, and sometimes even company survival.
EpiAnalytics provides transformative text analytics solutions to turn customer complaints and feedback from existing corporate sources, such as surveys, emails, social media, and call center data, into actionable intelligence for decision support and business workflow automation.
Analysts report that over 85% of data about customers is unstructured.
We Provide Structure in an Unstructured World
EpiAnalytics' use of machine learning and NLP technology are the core drivers of AI for:
- Sales — dig through the text of emails with customers to identify potential sale and provide recommended actions to improve the sales process.
- Service — match support requests with the right resource and respond to customers automatically based on the content of their communications.
- Community Marketing — determine sentiment and other important corporate initiatives to understand how customers think about your brand, products and service.
EpiAnalytics systematic text analytics solutions help businesses understand and derive value and insights from textual data.
Contact centers face unique cost control challenges and resemble manufacturing assembly lines. Processes tend to be fixed and routine. All centers strive for operational efficiency seeking to stay ahead of intensely growing competition while maintaining quality of service.
This quest for efficiencies in the contact center is driving the adoption of text analytics and sentiment analysis. Companies need to monitor customer conversations about their service, products, and brands across multiple sources to gain a competitive advantage. Companies in turn use this operational intelligence to gain a competitive advantage, manage customer perceptions and increase customer satisfaction.
Often text-based data is stored and left unprocessed either because companies lack a systematic solution to analyze unstructured content, or because of the lack of in-house expertise and the high cost required for implementing text analytics solutions.