Abstract: The present invention addresses the deficiencies of the related art by providing a tier-based data storage solution. Specifically, the present invention evaluates the data contained in database tables by analyzing several metrics for the data, and creating a valuation score. The valuation score is used to determine the storage tier that would meet the performance and availability requirements of the database with the goal of reducing the costs associated with storing that data. The metrics that are used to evaluate database tables include (among others): table purpose, data retention, disk requirements, data criticality, data relevance, and desired performance. As such, the present invention will develop a data (lifecycle) storage plan for each set of data. This storage plan not only identifies an initial storage tier where the data should be stored, but also identifies, if, when and to where the data should be moved thereafter.

Abstract: Method and system for determining a management complexity factor for an environment, such as an information technology (IT) environment, is disclosed. A management complexity factor represents the needless complexity, inefficiencies and waste in an environment. An IT environment includes different platforms, systems, and components that have an effect on changes and upgrades within the environment. The impact of the changes or upgrades is reduced if the environment has increased coordination, few single points of failure, high information availability, a high level of automation and the like. The management complexity factor is determined by evaluating several metrics according to objective criteria and weighing the metrics according to their importance. Using the management complexity factor, strategies and targets are identified to lower the complexity and inefficiencies within the environment.

Abstract: The present invention addresses the deficiencies of the related art by providing a tier-based data storage solution. Specifically, the present invention evaluates the data contained in database tables by analyzing several metrics for the data, and creating a valuation score. The valuation score is used to determine the storage tier that would meet the performance and availability requirements of the database with the goal of reducing the costs associated with storing that data. The metrics that are used to evaluate database tables include (among others): table purpose, data retention, disk requirements, data criticality, data relevance, and desired performance. As such, the present invention will develop a data (lifecycle) storage plan for each set of data. This storage plan not only identifies an initial storage tier where the data should be stored, but also identifies, if, when and to where the data should be moved thereafter.

Abstract: Method and system for determining a management complexity factor for an environment, such as an information technology (IT) environment, is disclosed. A management complexity factor represents the needless complexity, inefficiencies and waste in an environment. An IT environment includes different platforms, systems, and components that have an effect on changes and upgrades within the environment. The impact of the changes or upgrades is reduced if the environment has increased coordination, few single points of failure, high information availability, a high level of automation and the like. The management complexity factor is determined by evaluating several metrics according to objective criteria and weighing the metrics according to their importance. Using the management complexity factor, strategies and targets are identified to lower the complexity and inefficiencies within the environment.