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Customer Service Cube: Time Series
June 20, 2016 · Refreshed 13 days ago
Description
For more about using the customer service cube, check out this post: https://blog.modeanalytics.com/measure-customer-service-with-python/. Want to learn how to track customer service metrics with SQL? Read this: https://blog.modeanalytics.com/tracking-customer-service-metrics/

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Run History
SELECT '2016-04-04' AS day, 29 as avg_handle_time, 1.9 as avg_interactions, 9 as avg_quality UNION ALL SELECT '2016-04-05' as day, 28 as avg_handle_time, 1.9 as avg_interactions, 8.5 as avg_quality UNION ALL SELECT '2016-04-06' AS day, 29 as avg_handle_time, 1.5 as avg_interactions, 8.3 as avg_quality UNION ALL SELECT '2016-04-07' as day, 28 as avg_handle_time, 1.2 as avg_interactions, 8.8 as avg_quality UNION ALL SELECT '2016-04-08' AS day, 28 as avg_handle_time, 1.8 as avg_interactions, 8.4 as avg_quality UNION ALL SELECT '2016-04-09' as day, 25 as avg_handle_time, 1.2 as avg_interactions, 8.9 as avg_quality UNION ALL SELECT '2016-04-10' AS day, 28 as avg_handle_time, 1.6 as avg_interactions, 8.7 as avg_quality UNION ALL SELECT '2016-04-11' as day, 26 as avg_handle_time, 1.4 as avg_interactions, 8.2 as avg_quality UNION ALL SELECT '2016-04-12' AS day, 26 as avg_handle_time, 1.1 as avg_interactions, 7.9 as avg_quality UNION ALL SELECT '2016-04-13' as day, 22 as avg_handle_time, 1.2 as avg_interactions, 7.7 as avg_quality UNION ALL SELECT '2016-04-14' AS day, 20 as avg_handle_time, 1.3 as avg_interactions, 6.8 as avg_quality UNION ALL SELECT '2016-04-15' as day, 17 as avg_handle_time, 1.2 as avg_interactions, 5.9 as avg_quality UNION ALL SELECT '2016-04-16' AS day, 15 as avg_handle_time, 1.4 as avg_interactions, 5.4 as avg_quality UNION ALL SELECT '2016-04-17' as day, 14 as avg_handle_time, 1.1 as avg_interactions, 5.3 as avg_quality ORDER BY 1 ASC
SELECT '2016-04-04' AS day, 29 as avg_handle_time, 1.9 as avg_interactions, 9 as avg_quality UNION ALL SELECT '2016-04-05' as day, 28 as avg_handle_time, 1.9 as avg_interactions, 8.5 as avg_quality UNION ALL SELECT '2016-04-06' AS day, 29 as avg_handle_time, 1.5 as avg_interactions, 8.3 as avg_quality UNION ALL SELECT '2016-04-07' as day, 28 as avg_handle_time, 1.2 as avg_interactions, 8.8 as avg_quality UNION ALL SELECT '2016-04-08' AS day, 28 as avg_handle_time, 1.8 as avg_interactions, 8.4 as avg_quality UNION ALL SELECT '2016-04-09' as day, 25 as avg_handle_time, 1.2 as avg_interactions, 8.9 as avg_quality UNION ALL SELECT '2016-04-10' AS day, 28 as avg_handle_time, 1.6 as avg_interactions, 8.7 as avg_quality UNION ALL SELECT '2016-04-11' as day, 26 as avg_handle_time, 1.4 as avg_interactions, 8.2 as avg_quality UNION ALL SELECT '2016-04-12' AS day, 26 as avg_handle_time, 1.1 as avg_interactions, 7.9 as avg_quality UNION ALL SELECT '2016-04-13' as day, 22 as avg_handle_time, 1.2 as avg_interactions, 7.7 as avg_quality UNION ALL SELECT '2016-04-14' AS day, 20 as avg_handle_time, 1.3 as avg_interactions, 6.8 as avg_quality UNION ALL SELECT '2016-04-15' as day, 17 as avg_handle_time, 1.2 as avg_interactions, 5.9 as avg_quality UNION ALL SELECT '2016-04-16' AS day, 15 as avg_handle_time, 1.4 as avg_interactions, 5.4 as avg_quality UNION ALL SELECT '2016-04-17' as day, 14 as avg_handle_time, 1.1 as avg_interactions, 5.3 as avg_quality ORDER BY 1 ASC
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