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IBM CommonStore eMail Archiving Preload Solution

The IBM CommonStore eMail Archiving Preload Solution is an end-to-end solution composed of IBM servers, storage and archiving software that helps companies to manage email throughout its lifecycle.

This document details how the IBM CommonStore eMail Archiving Preload Solution can help small companies or branch offices address the challenges of growing email systems, including improving responsiveness for users and retaining email for compliance, corporate governance and legal discovery purposes.


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Control data growth before it controls your business

Businesses rely on mainframe computers to drive their enterprise databases and applications that support their business operations. While this information represents a valuable asset, like any other asset it must be well managed if it is to continue to deliver business value.

Typically most data growth is organic. That is as your business grows, so does the amount of data that is collected, managed and stored. Factors such as mergers and acquisitions, which can double data volumes virtually overnight, can further add to the capacity constraints. As can data retention requirements insisting that more data must be retained for specific periods of time.

Without an effective strategy for managing enterprise application data your organisation remains vulnerable to the negative effects of runaway data growth.

Vast amounts of data adds complexity and risk - as well as storage and management costs. Managing years of historical data in production databases can impact service levels and disaster recovery initiatives. Expanding online and batch processing windows, as well as routine maintenance tasks take much more time and can reduce application availability significantly.

Your enterprise applications must deliver measurable business value. So how can you manage data growth and capitalise on your investment? This White Paper describes some of the ways that organisations can address data growth issues through the power of enterprise data management.


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Managing Data Growth

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