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Identity Management

Organizations have always appreciated the need to manage access to systems, services and information to ensure appropriate control.

The growth of the web, on-line devices and real time access to information to internal and external stakeholders has made identity management of critical importance.

Organizations need processes and systems that make identity management easy, flexible and agile providing secure access to people and devices meeting the diverse requirements of information access.

Identity Management has two perspectives:

  • The user access (log-on) paradigm
  • The service paradigm

 

 
 

The User Access Paradigm

Identity Management in the user perspective is a traditional view and is an integrated system of business processes, policies and technologies that enable organizations to facilitate and control their users' access to critical online applications and resources — whilst protecting confidential personal and business information from unauthorized users.

The Service Paradigm

In the service paradigm perspective, where organisations are evolving their systems to the converged services world, the scope of identity management becomes much larger and its application more critical. The scope of identity management includes all the resources of the company that are used to deliver online services.

Today many organizations are facing a major clean up in their systems to bring identity coherence to their world. This coherence is required in order to deliver unified services to very large numbers of users on demand - cheaply and with security and single customer view facilities.

Identity Management is fundamental in providing an efficient and effective process for managing user access. It is a key component of the enterprise information management strategy, streamlining the process to deliver information securely.

Wave provides assistance to organizations in achieving a consistent and agile identity management solution.

Data Quality Project

Wave has been engaged by a major government department on a data quality project as a pre-cursor to a data warehouse initiative.


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