#optim data growth

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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ibm optim data privacy

People and money are not the only assets of an enterprise. In this information age, data is an equally important asset, critical to the decision-making process in every organization. But managing increasing volumes of data is an ongoing challenge, especially with the amount of sensitive data growing rapidly.  Organizations are constantly striving to manage optim data growth and data compliance, while also lowering IT costs and improving system performance.

Enterprise data management has great importance in today’s context. While there are many solutions offered by leading players in the market to help organizations better manage their data assets, the clear leader is IBM Optim Solutions. Optim addresses the critical business challenge of data growth management. To best reap the benefits of this solution, it is important to follow certain best practices while implementing it.IBM Optim implementation is most effective when a multi-stage approach is adopted. This approach helps effectively streamline the data management requirements of the enterprise and put the solution to its best use:

* Project Planning is the first phase, where the IBM Optim implementation project is defined and launched, the software solution installed and configured, and members of the organization trained in the Optim products

* Requirements Analysis follows project planning. In this phase, the data management and archiving needs of the enterprise are identified and prioritized, after which best practices are developed and implemented

* Design & Build phase is where the Optim artifacts are designed and built to support the requirements of the enterprise as determined in the Requirements Analysis. This phase also includes the design of custom extensions, refinement of the technical architecture design, and inclusion of data transformation rules, which are typically used for test data management or data privacy projects

* Test & Validate phase is the next step, where the IBM Optim Solution is first tested in a non-production environment. Both modular testing and integrated testing are performed to verify that the proposed solution is ready for production use

* Project Implementation is the final phase, where the production readiness is assessed, and the deployment plan finalized. The solution is implemented as planned, and IT staff and end-users are then trained to use the solution

IBM Optim Implementation Solution is most successful when these best practices are followed. However, if an enterprise does not possess the expertise or bandwidth to handle this implementation process, it is best to use the help of Estuate’s professional Optim consulting services. With over 100 successful implementations,  we bring a wealth of best practices to ensure you get the most out of your Optim investment.  

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Application decommissioning