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Dive into the world of call center data with Textual ETL, extracting hidden insights from all conversations effortlessly. Discover customer sentiments, analyze activity profiles, and drill down into areas of interest with ease. Compatible with multiple analytical tools!
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ANALYZING CALL CENTER TEXT – VERIZON A presentation by W H Inmon
But do you know what is being said? Can you examine 100% of your call center conversations? What is going on in your call centers? What is on our customers mind?
Trouble report Descriptive conversation
The analysis that exists today keywords
textual ETL unstructured data taxonomy relational data base With Textual ETL now you can easily and quickly capture and analyze ALL your call center conversations
textual ETL unstructured data taxonomy relational data base And once you have created a relational data base you can analyze it with standard analytical tools Tableau Qlikview SAS Excel Etc.
the classes of topics discussed
An hour by hour profile of call activity
Once you find a point of interest, you can do further expansion
Analytical dashboard keywords before after Which form of analysis tells you the most? It is no contest
But what if I want to use something other than Tableau to display my results? No problem. Textual ETL works with every other BI tool Including Business Objects, Qlikview, Cognos, MicroStrategy, Excel spreadsheets, and many more. Textual ETL is agnostic to the analytical tool you want to use.
textual ETL unstructured data taxonomy relational data base Statistical Analysis Once you have created your data base, you can analyze it in any way you want
Now you can know what your customers are saying. Now you can unlock all the information that is locked up in unstructured text.