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homeBusyAnalyst Event Viewing & Analysis
BusyDesk™
Contact Management
Document Management
Correspondence & File Generation (Busywrite)
Account History and Retrieval
Marketing
BusyScreens (Customised Data Screens)
Follow-up Management & Action Control
CTI - Computer Telephone Integration
Event Management
BusyAnalyst Event Viewing & Analysis
BusyWorker
BusyDiary
Integration to Sage & MS-Office
Data Import & Export
Remote & Off-Line Working

Features

  • Immediate view of all events or selected event types e.g. view all sales opportunities; view all maintenance contracts due for renewal

  • Events can be viewed for any period or date range

  • Events can be analysed to show totals and sub-totals for users, periods, groups, statuses e.g. value of sales opportunities for next 3 months per salesperson

  • Totals and sub-totals are colour-coded for easy viewing

  • Events may be exported into spreadsheet format for further graphical analysis

  • Events can be analysed to produce totals, percentages, minimums, maximums, averages, variances and counts for any given period

  • Analysis drill-down is available manually or automatically and the order of analysis may be changed to cover periods, users, groups, and statuses

 
 
 
 
 
 
 

Benefits

  • The overall picture on events such as sales opportunities can be viewed instantly to provide management information e.g. sales predictions, renewal revenue, planned work, outstanding faults, overdue projects etc.

  • Information can be made available in any order e.g. to produce a summary of sales opportunities for a particular salesperson in order to discuss performance and projections

  • Escalation procedures may be implemented by viewing customer service events with unresolved status thus improving customer service leading to increased customer retention and improved corporate reputation

  • Time is saved as vital information is available on-screen and can be analysed in a variety of ways without wasting time printing reports

  • Exceptions and errors can easily be identified as erroneous data "stands out" against all the correct data and hence administrative errors can be avoided and time saved



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