Profile of IT Manager

In today’s demanding environment for more accurate and fast delivery of Information IT management plays a significant role in the overall BI Infrastructure. IT departments are placed with greeter demands as it is required to deliver more information to more users through more delivery mechanisms and in more formats.
IT managers are responsible for the overall Business Intelligence needs of an organization, mainly technical issues but also non technical such as the alignment of the BI Initiative with business goals. Their skills involve a blend of of technocal along with basic business experience that lets them quickly translate business needs into analytic applications that help user make better business decisions.
IT managers are liable for controlling access to backend systems, data security, and providing acceptable performance to all consumers of information residing in the IT infrastructure.
They are also responsible for mapping technology to business needs, by identifying the user communities within the organization and map their information needs to the capabilities of reporting solutions.

Their key responsibilities include:

• maintaining hardware reliability, system level security, system level performance monitoring and tuning
• automation of production activities including extract and load functions, repetitively produced queries/reports, etc
• developing and maintaining the corporate data model, identifying data sources, maintaining the meta data repository
• monitoring data quality
  

Benefits for IT Managers

• Provides a manageable solution to the problem of data integration. IT managers can fully exploit the enterprise’s existing technology investments and extend their functionality. The product can be deployed quickly and maintained easily because it takes advantage of systems already in place.
• Minimizes the amount of data replication needed by IT to fill data warehouses due to its distributed query approach.
• Delivers a common metadata repository for all information views   across multiple and heterogeneous data sources.
• Reduces data integration infrastructure costs, since administrators can manage data more easily across the data source frontiers.
• Delivers data paging mechanisms for improving network traffic, enhancing scalability and performance.
• Leverages native data sources so that querying and information delivery is done in the most optimized matter for each data provider.
• Offers rapid deployment of solutions due to a comprehensive development framework that dos not require custom programming.