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Data lifecycle management: What are the things organizations need to consider?

This excerpt from "Data Lifecycles: Managing Data for Strategic Advantage" outlines the storage problems that organizations face today and considerations businesses need to make when assessing solutions.

So the challenge for the IT manager remains: in the business world organizations need to deal with ever increasing volumes of information that are ever diverse, and increasing in size with every release of Microsoft Office. And, IT has to do this without extra budget or strain on the IT department's workforce, who, incidentally, are already working a 65-hour week. In addition, IT can't try to manage the storage resources by simply just adding more inefficient direct-attached storage devices, because that just doesn't work in the long term – and how do you successfully manage disparate storage devices anyway?

If storage growth is compounding at 50–100% year, an organization with one terabyte this year will potentially reach 32 terabytes in three years including backups. So not only have you got to put this stuff somewhere (more storage), but then you have to manage as well. Users still expect instant uninterrupted data; administrators face increased scalability and performance requirements, which are both initially unmanageable and invisible, with restricted (perhaps decreasing) budgets. In addition, board level executives need to ensure their company information is protected, accessible, and retained according to the latest worldwide, international, country and local regulations – regulations that are in their 10's of 1,000's and are constantly changing.

As a single example, in the USA alone there are over 10,000 US Federal Regulations surrounding electronic information retention. Extraction of data archive point-in-time views are becoming normal.

About this book

Plenty of storage products are now available, but the challenge remains for companies to proactively manage their storage assets and align the resources to the various departments, divisions, geographical locations and business processes to achieve improved efficiency and profitability. Data Lifecycles: Managing Data for Strategic Advantages identifies ways to incorporate an intelligent service platform to manage and map the storage of data. The authors give an overview of the latest trends and technologies in storage networking and cover critical issues such as worldwide compliance. Purchase the book from Wiley Publishing

1.2.1.1 The problems

The main problems for an organisation are as follows:

  • static or decreasing IT storage management budgets;
  • multi-platform skills shortage;
  • fewer IT system Admin Engineers;
  • more sites, more data, more systems – all needing management;
  • unstoppable data volume growth;
  • globalisation – organisations now need to be available 24×7× forever;
  • compressed to zero backup windows;
  • increased regulatory legislation around data management, IT and corporate governance;
  • new communication types that need some sort of business policies set against them in risk mitigation
  • inability to manage or control storage costs.

1.2.1.2 Things to consider

The main things an organization needs to consider are as follows:

  • What types of data does your organisation hold?
  • Which of these data types need to be held?
  • For what length of time does this data need to be held?
  • Is any of this data likely to be used in the future?
  • How critical is the data to the business?
  • Who needs to access it?
  • How quickly do they need to access it?
  • Does it need to be held and produced in its original state (WORM)?
  • If required, could you deliver every single instance of one type of specific data required by government legislation?

Use the following table of contents to navigate to chapter excerpts or click here to view Introducing Utility Computing in its entirety.


Data Lifecycles: Managing Data for Strategic Advantage
  Home: Introducing utility computing
  1: Real problems and real solutions: Using ILM to address compliance
  2:New storage management with utility computing
  3:Data lifecycle management: What should organizations consider?
  4:What does data lifecycle management mean?
  5:Why is IT lifecycle management important?

About the authors:
Roger Reid is an enterprise storage architect for Veritas Software Corp. with more than 10 years of combined industry experience supporting various Fortune 500 customers in architecting and implementing a variety of storage solutions including storage area networks, storage virtualization, active storage resource management, backup and hierarchal storage management products.

Gareth Fraser-King is the Manager for Product Marketing in the European, Middle East, and African emerging territories producing high level messaging, white papers, articles, presentations, and marketing deliverables. He has worked as a writer and marketer for over 20 years, the last 10 within the IT industry, and possesses a wide range of marketing experience, including copywriting, business, technical and service authoring, as well as business development, operation efficiency, strategic planning, affinity marketing, product development and quality management.

This was last published in November 2007

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