Ivanti - License Optimizer

Automate your Software License Compliance Management

CTMS has wide experience in the implementation of IT Asset Management solutions that range from IT discovery to complete asset life cycle solutions managing Hardware and Software Assets.

CTMS has delivered Software License Compliance projects for customers which include toolset selection, implementation and license reconciliation.

Ivanti License Optimizer is a market leading software asset management (SAM) solution with strengths in integration flexibility, management of complex data centre application licensing and analytic insight into information for business decision making.

License Optimizer connects to other Ivanti products and third party systems, including IT discovery toolsets and software license reseller procurement data.

  • Provides clarity on what software you have.
  • Shows how the software is being used.
  • Allows you to model and improve your effective software license position.
  • Discovers and inventories IT assets and vendor data with B2B connectors.
  • Monitors software application usage for intelligent business decision making.

License Optimizer is available for Clients and Servers.

Ivanti License Optimizer - CTMS


Discover Your IT Environment

The discovery and tracking processes in Ivanti License Optimizer for clients identify and aggregate data on IT assets in your environment automatically, including printers and SNMP devices. You can use Ivanti Endpoint Manager to discover your IT devices and data or use connectors for third party systems such as Microsoft SCCM.

Automate the collection of Vendor Data with B2B Connectors

Eliminate spreadsheets and gain vendor visibility from the moment you acquire a new asset. Business-to-business (B2B) connectors aggregate manufacturer, vendor, and reseller data such as purchase order numbers, device types, and location mapping. Collect this information automatically from a continually growing number of connectors for Apple, Dell, HP, IBM, Lenovo, Lexmark, Verizon, CDW, En Pointe and others.

Standardize Asset Naming with Data Normalization

Ivanti License Optimizer for Clients employs a normalization and rules engine that applies standard naming conventions automatically to collected asset data and reporting fields. This eliminates reporting and management headaches associated with varied and complex vendor naming schemes.



Ivanti License Optimizer for servers enables you to understand the complexity of a data centre for licensing software assets for on premise and hybrid cloud virtualisation environments, including VMware, Hyper-V, Oracle VM, and IBM Power Virtualization.

Achieve Vendor-Specific Visibility

Ivanti License Optimizer for Servers helps you manage high value infrastructure software assets from vendors like Oracle, Microsoft, and IBM. Save time and simplify with an automated process for generating your Oracle Server Worksheet. Datacentre Discovery technology performs deep, agentless scans of Microsoft products, including SQL server instances, Active Directory, and SharePoint Servers. The solution also scans for IBM products like DB2, DataStage, and WebSphere, among others, without impacting network performance or overhead.

Simplify Data with Connectors and Normalization

License Optimizer for Servers features a global software library with extensive titles to normalize information into a single source of truth. This is then matched against a powerful licensing entitlement engine. The solution connects you to any data source through extensible APIs, a wizard driven connector builder, or a range of existing preconfigured connectors. License Optimizer for Servers also has data-transformation features built into the platform natively that allow you to verify data quality and perform remediation and cleansing activities. You can merge data sources or perform lookups from master lists and value replacements.

“What if” Modelling and Analysis

License Optimizer for Servers lets you create scenarios for initiatives like cloud migration. You can identify areas for potential savings and quantify the effects of technology investments, then monitor progress against budget. You can also map software costs to service usage and build into the models detailed factors such as asset depreciation.