Have you ever thought of having a real data warehouse (hitherto untapped) at your disposal, thanks to which you can finally optimise your business processes?
Transform your call data into valuable information with Kalliope Analytics, the advanced reporting module that offers a comprehensive and detailed overview of the use of your company’s telephone resources.
Kalliope Analytics collects all the data collected from CDRs (Call Detail Records) by processing simple and intuitive graphs and reports to analyse call trends within your company.
The module is structured in two main sub-modules, both of which are divided into sections. The first sub-module collects the data from the CDR and processes them, while the second does so for data from the Call Centre. In both cases, the structure of the sections is very similar, with an initial dashboard followed by the various report sections. The data that are collected are then processed and made available to the various reporting groups (CDR or Call Centre) in the different sections into which they are divided.
Clear and comprehensive dashboards
Professional and intuitive reporting
Effective and accurate graphics
Customising tables and reports
An initial overview of incoming, outgoing and internal calls, with pie charts showing, for each category, the percentage and quantity of served and unserved calls, with details of the unserved (unanswered, unavailable, cancelled, busy and failed).
The dashboard contains graphs showing by quantity and total duration (in seconds) the trend of calls received on a specific day and time.
The scenario represented at a glance by the graphs is shown in more detail in the table, with a breakdown by served/unserved, incoming, outgoing, internal calls, with the possibility of exporting the data in XLSX format.
The weekly distribution is also shown in the table with the same degree of detail and with the possibility of exporting the data in XLSX format. In addition to the reports in the dashboard, customised reports can be created based on the desired parameters.
The pie chart representation with hourly/weekly distribution makes it possible to identify the most critical periods at a glance.
Discover all the technical details and insights in the dedicated section of our Wiki.
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