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Correct categorisation ‘essential for data management’

IT managers across the globe need to have an in-depth understanding of the differences they face in developing program types that can bolster drives to improve data management efficiency.

As such, IT sector analyst Gartner has published a breakdown of the five most common program types and has highlighted their importance to maintaining an effective data management strategy.

The first category is those systems that are based on the ‘bottom up’ principle. They can be multiple projects being carried out across a business that all cover the same set of problems and share dependencies.

These programs are then later combined to deliver better overall control of data and to avoid redundancy in operations.

Secondly, change-oriented systems are those that are generally triggered by a major shift in company policy or mandate.

Organisations also need to factor in the third category of systems – policy-driven programming. This is an area unique to government organisations and those in the private sector and focuses specifically on changes in government policy that affect the management of data.

Meanwhile, outcome-driven programs are those developed as the result of a key concept, vision or product and are generally created to address a specific need within a business.

Finally, the fifth category of common program types is that of ‘transformational’ systems. These programs are the ones that deliver a game-changing improvement or new direction for a business through increased functionality, services or products.

They are the ones that companies hoping to achieve real gains in terms of profitability and increased efficiency should aim to focus on.

Michael Hanford, research vice president at Gartner, commented: “The adage ‘the right tool for the right job’ is every bit as appropriate to IT programs as it is to carpentry or plumbing.

“Understanding different program types, the characteristics, requirements and benefits involved, and how they should be applied to meet different organisational, structural or governance needs is too often neglected in the early stages of planning.”

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From: http://www.krollontrack.co.uk/company/press-room/data-recovery-news/correct-categorisation-essential-for-data-management940.aspx

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