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Software License Usage Forecasting System: Reduce Costs and Downtime
6-9
IT budget planning and tender procedures
months in advance
AI-based systems
manufacture
30%
by
reducing costs for purchased software licenses
Customer
A large technology holding company producing trucks and automotive equipment in the Russian Federation
CHALLENGES/FEATURES
extensive IT infrastructure
some software licenses are used non-linearly
a large set of software
it is difficult to understand whether there is a need for urgent purchase of new licenses and how optimally the current ones are being used
difficulties with purchasing foreign software
a sudden need for missing software can lead to both IT budget overruns and downtime for individual departments if the software is not readily available to employees.
Development of a system for forecasting the use of software licenses in some divisions of the holding
Task
решение
Technical solution
A prototype system for forecasting the dynamics of server software license usage, which:
collects, processes, structures, and records usage data from 1,000+ software users in a database
analyzes data on 20+ types of software licenses
determines the number of licenses required, based on historical data, for use in a given period of time
Result
Business values
Saving your IT budget
Possibility of reducing the license budget if the forecast does not anticipate peak usage
Procurement planning
procurement forecast for 6-9 months ahead
Reducing the risk of downtime
The ability to predict in advance the software required for employee work and avoid the risk of downtime and losses due to a sudden lack of licenses
reducing the cost of purchased software licenses by up to 30%
iImproving the efficiency of purchasing missing software through IT budget planning and tender procedures
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