The global pandemic accelerated the need for digital transformation.
In today’s age of real-time data, businesses are analyzing, making predictions, and taking action against data in real time. They are enhancing online customer experiences by eliminating application latency, and they are delivering higher-quality data for analytics, machine learning, and business intelligence to provide exceptional customer service and personalization to clients.
Customers’ expectations are very high. According to Emplifi, a customer experience vendor:
- 61% of customers say they would switch after one bad experience.
- 86% of consumers would leave a brand after as few as two poor experiences.
Also, investments in real-time data pay off. According to the Centre for Economics and Business Research:
- 80% of companies surveyed report revenue uplift due to real-time data analytics
- 98% of companies report increased positive customer satisfaction with real-time experiences
Redis Enterprise real-time search capabilities help organizations deliver real-time performance for demanding use cases where responsiveness is paramount, and measured in sub-millisecond timelines, even with massive data sets. Among those use cases are ecommerce, real-time analytics, master data table lookups, and personalized customer 360° applications.
Event Speaker
Michael Yuan
Senior Solution Architect
Redis
