IT Lifecycle Approaches - Essay Example

Metrics, tools, and techniques have to be normalized all through the organization to make sure that the entire real as well as virtual lines of the organization are uniformly measured and similarly play a significant role in the success or failure of the organization. In this scenario, the option is an extremely disconnected firm with islands of proficiency in a sea of mislaid opportunities (IBM, 2012).
However, to help businesses organize these endeavors, a group of IT lifecycle approaches and solutions exist, which is a collection of integrated systems and tools, developments, and services to support the collaboration and communication of the company, development, functions, and stakeholders. Moreover, every forward-thinking is particularly planned to facilitate teams in tackling key cross-lifecycle actions that are most important to offer timely and productive worth to the company (IBM, 2012).

In addition, it should be clear that businesses have to make the process of data storage more efficient. The benefit is that ILM/DLM (data and information life cycle management) creates high-quality business sense: actually, that is why it subsists in the primary place. In this scenario, ILM/DLM is a precondition for high-quality business governance; however, is as well a crucial component of high-quality industry conduct. Additionally, it takes care of the company’s reputation and deals with risk, and supports a secure and reliable dealing environment. Moreover, it defends worldwide financial marketplace security and stability in addition to tracking doubtful customers groups. As well, it gives importance to clients’ self-assurance. Furthermore, it helps avoid terrorists and money laundering as well as harmonizes global authoritarian approaches (TechTarget, 2007; Brinkmoller & Fischer, 2007).

The DLM is a policy-based method that is used to handle and organize the flow of data and the information system's data all through its life cycle: from configuration and preliminary storage to the time when it turns out to be old-fashioned and is deleted. In addition, data life cycle management products computerize the procedures concerned. Additionally, new data and information that have to be accessed more often, are stored on rapid and more costly storage media, on the other hand, less critical data is stored on less costly and slower storage media (TechTarget1, 2004; Enterprise Integration, Inc., 2006).

Moreover, HSM (Hierarchical Storage management) is also a kind of data life cycle management product. In this scenario, the hierarchy refers to various kinds of data and information storage media, like that RAID (redundant array of independent disks) data and information systems, tape, and optical storage, every type demonstrating a specific level of cost as well as the speed of data recovery when access is necessary. In addition, HSM product allows data or system administrator to create and implement a strategy for how frequently different types of files are to be stored in a backup data and information storage device (TechTarget1, 2004; Enterprise Integration, Inc., 2006).
In simple words, ILM is all about understanding the data value concerning time. The value of data changes with time and various rules are available to administer how long data must be saved, how secure the data store must be, and when the data must be removed from that store. However, these values will vary for different categories of data. In addition, ILM engages classifying data classes into business importance categories, then creating and applying data management strategies for each category that direct how long the data will be kept, where it will be kept, and when it will be removed. After that these strategies are converted into software regulations that are employed to shift data around the storage pecking order, maintain it and remove it. Moreover, this last stage is acknowledged as data lifecycle management. ILM is about storing and maintaining data as a business asset, on the other hand, data lifecycle management is about managing data as an IT cost (Lascon Storage Ltd., 2009).

Moreover, both DLM and ILM are normally used alternatively. But both these techniques are different from one another. ILM systems encompass more complex perspective. For instance, a DLM product would allow us to search stored information and data intended for a definite file type of a definite age, on the other hand, an ILM product would allow us to search a variety of kinds of stored files for example a specific part of data, like that a client number (TechTarget1, 2004; Enterprise Integration, Inc., 2006).
ILM is a wide-ranging technique for handling and managing the flow of an information system's information and data and associated metadata from its creation and early storage to the time at which it becomes useless and deleted. As compared to other methods of data storage management, ILM incorporates the entire features of dealing with data, starting with user practices, before immediately automating storage events, as; hierarchical storage management (HSM) performs. In addition, as compared to other data management life cycles, ILM incorporates additional complex principles and procedures for storage management (TechTarget2, 2004; Tech-Faq, 2012; RKaz Technology Consultants, 2005). Read More