Applying Graph to C360 to Increase Top Line Revenue

Focusing on Know Your Customer and Customer 360 is important in the Covid19 era to drive cross sell opportunities, offer real time buying patterns, and to avoid customer churn. The fight for buyers and market share in banking, healthcare, insurance, eCommerce, Retail, and Media has elevated the need for real-time analytics, assemble & engineer 'to-order,' and customer journey analytics. Utilizing technologies such as Graph Databases, Advanced Machine Learning, Visualizations, and Humans-in-the-Loop can increase accuracy and topline revenues by over 10%. The focus of this webinar is to identify how Graph and Machine Learning can directly increase the accuracy and output of Customer 360 based recommendations, reduce and avoid churn, and devise 'what if' recommendations.

This event is designed in a 'Speed Dating' format, with a focus on key topics for under 15 minutes in order to maximize the insights. During this online meetup, you'll learn from our experts how Expero and TigerGraph technology can unlock the potential in your organization. We will feature unique TigerGraph and Expero technology lightning talks, followed by a short Q&A session.

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Key Learning Topics:

• Unification of Customer and Relationship Joins (ER) - Bring multiple silos of data together for a single view of the customer

• Drive Revenue - Increase top line by over 10% by revealing customer journey findings to focus on more accurate upsell, cross-sell, churn issues, and identify risks in advance

• Increase accuracy - Increase accuracy of data-driven recommendations and Machine Learning

• Predictive & Preventive Analytics - Practical applications and Graph based methods for prediction and prevention of customer churn. Use Graph & ML for ‘What If’ recommendations, dependencies, and avoid compounding bad data