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Data Classification / Information Asset Management (IAM)

Data Classification

Through data classification, companies can implement information asset management strategies, prioritize and forecast IT needs, and integrate storage and business processes. GreenPages uses data classification to categorize the performance, recovery, and retrieval characteristics of an organization's data. With data classification, information can be more effectively stored and managed—no matter where the data resides: in applications, message-based systems, data marts and warehouses, mainframes, ERP systems, web files, or XML documents.

Information Asset Management (IAM)

In today's business environment, information is as valuable as any physical corporate property. But it is only valuable if it is easily available for people to use. Information asset management (IAM) is the collection, organization, and dissemination of a company's data—both structured and unstructured. And like any other business project, IAM requires methodical planning, strategic implementation, and continual process management.

IAM Allows CTOs to Make Better Decisions

A solid IAM strategy should be a part of every data management plan. It must also be scalable and flexible to meet the changing dynamics of modern organizations amd is a crucial component of most information lifecycle management initiatives. GreenPages helps companies of all types and sizes create information asset management strategies that successfully manage disparate information from numerous sources.

GreenPages' other capacity optimization methods include data archiving and information lifecycle management (ILM). Please visit our data management section for a comprehensive list of our data management solutions.