Remove 2001 Remove Key Performance Indicator Remove Testing Remove Visualization
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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics. It’s also necessary to understand data cleaning and processing techniques.

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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

Solution overview In this post, we walk through a call center analytics solution that provides insights into the call center’s performance in near-real time through metrics that determine agent efficiency in handling calls in the queue. The near-real-time insights can then be visualized as a performance dashboard using OpenSearch Dashboards.