COMPAREX
City of Celle

Introduction and Operation of the COMPAREX Portfolio Management Platform

Celle effortlessly bridges the gap between tradition and modernity. Founded in 1292, Celle is able to look back on a history spanning more than 720 years, including as a capital city. High-tech products for future-oriented markets are also a long-standing tradition in the city of Celle, though. It‘s no wonder that there are correspondingly high requirements on the installed software and proper licensing of the more than 800 clients and servers of the city.

Customer: The city of Celle, Germany

Contact Partner: Mr. Jörg Peters, Head of special service 10 – Information technology, geodata

Industry: Public administration

Project / Solution: Introduction and operation of the COMPAREX Portfolio Management Platform

Project Duration: Ongoing service

Logo City of Celle

It‘s very important for the city of Celle to get an overview of the software actually installed and its characteristics. Gaining oversight of the situation quickly, easily and efficiently is crucial here.

The city of Celle has long been relying on SCCM from Microsoft. However, the scope of the inventory results from SCCM weren‘t sufficient for processing and enriching the data for the consideration of licenses and software optimization without considerable manual expenditure.

COMPAREX suggested the introduction of the COMPAREX Portfolio Management Platform. This solution makes it demonstrably possible to enhance the value of the data obtained by SCCM.

The implementation of the Portfolio Management Platform, which included connection to SCCM, was very easy and could be carried out in less than one man-day.

The database underlying COMPAREX‘s proprietary software identification solution is SQL, so a large number of options for easy evaluation are available directly through the reporting services.

The city of Celle received more than 10 pre-configured reports and has the option of creating its own reports through direct database access.

  • Classification of installed software according to different levels, e.g. free for non-commercial use, requires license, freeware etc.
  • Direct allocation of individual products to suites using integrated deep identification
  • Transparency with regard to all software titles used, as well as their versions and “current-market” versioning
  • Consolidation of the software landscape concerning “different software titles for the same use” through eClass-oriented categorization
  • Identification of potential security risks not recognized by anti-malware software through reports on “suspicious software” and versions which are not up to date

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