#data growth solution

A challenge faced by organizations today is the storage of all the data accumulated. Uncontrolled data growth can hinder the performance of systems, applications, databases and other business environments. Historical data needs to be backed up in repositories which can be accessed easily when required.

There are several storage facilities to archive data, like

* store on site,

* store remotely or off site for safe-keeping in case the primary storage is destroyed,

* backup data in case the primary data gets corrupted,

* archive for long term storage.

IBM's Optim Archive provides solutions to the problem of data growth at the source, reduces costs and improves performance and efficiency of systems and applications.

IBM Optim Data Growth Solution is a tried and tested procedure to implement the IBM Optim Solutions on your system. We provide strategies to control data growth by managing your application data. Data that is allowed to grow rampantly can impair the performance of applications and cause a strain on financial and technical resources, compromising the completion of processes on time.

The IBM Optim Data Growth Solution reduces the impact of rapid data growth by archiving historical data to secure storage. This data can be maintained on any hardware device as a database. Considering your organization's requirements and data retention policies, we use your application logics and validation rules to implement IBM Optims Data Growth Solution and manage uncontrolled data growth, and ensure data storage compliance is met.

IBM Optim's built-in templates define common business objects within ERP and CRM applications. These templates can be developed into new templates or customized for functional or data retention requirements.

Our IBM Optim Data Growth Solution helps maintain only the most recent information in the production environment facilitating the best application performance. Historic data can be archived in a variety of storage devices, depending on your organization's environment.

We have successfully implemented Optim Data Growth Solution for a client facing problems with storage costs and performance of the applications. We approached the issue of controlling data growth by archiving frequently used and inactive data. We implemented the IBM Optim Solution and archived transactional data gathered over a few years. Optim was accessible by applications which enabled our client to obtain archived data, while improving throughput, and comply with performance requirements.

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An incredible growth in technology brings with it an exponential increase in data. Of course, the most apparent solution to having too much data is to get rid of it, but for many businesses, in a variety of industries, one cannot simply delete data or information; there are numerous regulations that require long-term retention of data. To adhere to these regulations, many businesses increase the size of their storage, but as they do so they increase their cost. With businesses looking to curb expenses, it is no wonder many are looking for resources to help manage the life cycle of data. One resource to manage data is IBM’s Optim Data Growth Solution. Not only does IBM’s software address the issue of cost-related data storage, it works to improve many other areas of data performance. After all, if the size of your data grows out of control, the performance of your applications would suffer as your applications become bloated and weighed down by unnecessary data. With IBM Optim your business has the ability to properly archive all that data and keep applications running effectively and efficiently. Once recognizing the clear benefits of data management, the next step is to implement. But how is the IBM Optim Solutions implemented? Typically, a business will apply Optim throughout its enterprise system in phased approaches. Some examples of this phased approach are as follows: ●        A business’ objectives are reviewed, along with any storage, access, etc. requirements ●        Find the data that can be retired, this includes analyzing the potential results of data archiving and recognizing any additional customizations needed ●        Testing the process, which includes archiving, removing, and restoring specific sets of data After all of the steps above have been completed, the process becomes automated and archiving can be set to run on a routine basis. This process is performed for each set of data and can be applied to other applications throughout the enterprise system. Throughout implementation, maintaining data integrity and context is of the utmost importance; if data is not 100 percent accurate, it is of no use to anyone. This is especially true when it comes time for an audit or when your business needs to comply with standard regulations. Optim data management will keep your data in compliance, retain accuracy, and never will corrupt or pollute your data, even if the data is extremely complex.  Using a data management system to manage data growth and archiving will improve operations and save money, all while ensuring compliance and protecting data integrity.

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