8x8 Empowers Real-Time Contact Center Analytics with Confluent
Technology Category
- Analytics & Modeling - Real Time Analytics
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- National Security & Defense
- Retail
Applicable Functions
- Human Resources
- Logistics & Transportation
Use Cases
- Real-Time Location System (RTLS)
- Tamper Detection
Services
- Cloud Planning, Design & Implementation Services
The Customer
About The Customer
8x8 is a leading cloud communications platform provider that enables more than a million business users to collaborate faster and work smarter. The company provides voice, video, chat, and contact center solutions on a unified global platform, complemented by real-time analytics that help enterprises delight their customers and accelerate their businesses. Advanced analytics are critical in a contact center environment, where supervisors utilize real-time dashboards with hundreds of metrics. These dashboards provide insight into key customer experience metrics such as customer wait time and first-call resolution rates. Supervisors are also provided insight into which agents are successfully resolving inquiries and around what topics, so that they can make staffing decisions as well as predict their future staffing needs.
The Challenge
8x8, a leading cloud communications platform provider, was faced with the challenge of delivering real-time analytics for its cloud-based communication services in a mission-critical, multi-tenant environment. The company provides voice, video, chat, and contact center solutions on a unified global platform, complemented by real-time analytics that help enterprises accelerate their businesses. Advanced analytics are critical in a contact center environment, where supervisors utilize real-time dashboards with hundreds of metrics. These dashboards provide insight into key customer experience metrics such as customer wait time and first-call resolution rates. As a fast-growing, multi-tenant SaaS contact center solution, 8x8 needed a way to rapidly and cost-effectively add new customers. The platform needed to be multi-tenant, providing strict data separation—a key customer requirement—and it had to be highly resilient given its mission-critical nature. Robust security was also a must, since 8x8 handles sensitive caller information.
The Solution
To meet this need, 8x8 chose Apache Kafka® and Confluent Platform. Kafka is the de facto standard for streaming analytics, and it gives 8x8 massive horizontal scalability in a multi-tenanted environment. Kafka enables 8x8 to translate all of an organization’s real-time communications into actionable insights that allow organizations to grow and ultimately transform their businesses. In 8x8’s target architecture, Confluent Platform is installed in a high-availability configuration in each of the company’s 16 datacenters. Datacenters are then paired for disaster recovery, using Confluent Replicator to mirror data. Confluent collects and analyzes events from 8x8’s contact center software, generating metrics that are fed to real-time dashboards and stored in Apache HBase. The company also uses Confluent Control Center to monitor and manage its Kafka infrastructure. Network performance monitoring is another valuable use case.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
Case Study
How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.
Case Study
Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.
Case Study
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.
Case Study
Supermarket Energy Savings
The client had previously deployed a one-meter-per-store monitoring program. Given the manner in which energy consumption changes with external temperature, hour of the day, day of week and month of year, a single meter solution lacked the ability to detect the difference between a true problem and a changing store environment. Most importantly, a single meter solution could never identify root cause of energy consumption changes. This approach never reduced the number of truck-rolls or man-hours required to find and resolve issues.
