Category: Analytics

Introduction Organizations often struggle to gain a complete view of their agents’ performance. This is due to the large volume of interactions and the various channels through which they communicate with customers. Additionally, filtering relevant data points for performance analysis can be a difficult task. Fortunately, Contact Lens for Amazon Connect offers agent performance evaluation […]

Following AWS’s best practices on multi-account strategy, customers launch and maintain their Amazon Connect instances across multiple accounts and Regions depending upon their products, groups, departments, etc. This allows individual business owners, developers, engineers etc. to make changes to their own independent Amazon Connect environments. In such a scenario, customers need a central mechanism to […]

Enterprise contact centers have performance objectives (service levels, agent occupancy, average speed to answer) to ensure a high-quality customer service. The methods used to route incoming contacts have a direct influence on these performance metrics. Amazon Connect makes it possible to route contacts based on objectives that are important to the business. Part 1 of this […]

Introduction Amazon Connect Cases allows your agents to track and manage customer issues that require multiple interactions, follow-up tasks, and teams in your contact center. As an organization, it becomes important to define performance metrics for resolving cases and identifying any bottlenecks. Amazon Connect supports Cases events streams which provide you with near real-time updates […]

Introduction Organizations want contact center reporting and analytic capabilities for agents’ activities. This enables them to manage agent staffing and optimizing the contact center work force operations. Contact center platforms with limited integration capability make it challenging to generate custom reports and perform advanced agent activity analytics. Amazon Connect agent event streams are Amazon Kinesis […]

Missed appointments result in thousands of dollars in lost revenue per year across industries. No shows waste precious time for subject matter experts waiting for customers. Some businesses manually remind their customers before the appointments; however, this is inefficient, not scalable, and costs productivity and money. An agentless outbound dialing campaign for appointment reminders is […]

Introduction To get the most advanced analytics benefits, organizations need a robust platform and a cost-effective solution to run a thriving contact center. This is achieved by building a data lake on Amazon Simple Storage Service (S3). Amazon Connect Data Lake Best Practices whitepaper lays out the various data sources within Amazon Connect, and steps […]

Note: This is the third blog in the Amazon Connect reporting blog series. If you haven’t read “Analyze Amazon Connect Contact Trace Record with Amazon Athena and Amazon QuickSight–Part 1”, we strongly recommend you do before proceeding further. Introduction Organization that offer web chat as a communication channel strive to get insights into their customers’ […]

Note: This is the second blog in the Amazon Connect reporting blog series. If you haven’t read “Analyze Amazon Connect Contact Trace Record with Amazon Athena and Amazon QuickSight–Part 1”, we strongly recommend you do before proceeding further. Introduction Many organizations want the capability to improve the efficiency of their contact center’s quality analysis process. […]

When managing your contact center, call quality has a significant impact on the customer experience. If your agents take calls on Amazon Connect using the softphone over the internet, the audio quality is typically high. However, changes in networking conditions can result in varying audio quality from factors such as increased latency or packet loss.

By capturing and storing real-time call metrics, you can proactively monitor call quality. In this blog, we describe a solution which captures real-time metrics from the Amazon Connect softphone, creates easily understandable dashboards from the metrics, and makes this data searchable for further analysis.

The dashboards give your contact center supervisors and operators insights into the customer experience from both a business and operational lens. They can help you answer questions like how many calls are abnormally short, how many calls experience poor audio quality, and other common operational questions. This allows your business to take actions to improve the customer experience.