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October 18, 2010

Gartner names approaches to successful data integration projects

Filed under: Data Integration, Data Quality — Katherine Vasilega @ 6:31 am

It is pretty clear today that there is no a “one size fits all” approach to data integration. With all the tools, techniques, and methodologies available, data integration is still a great challenge that organizations face. According to the global research firm Gartner, companies worldwide have spent more than $1.5 billion on integration. Gartner forecasts that companies will purchase and consume much more integration services in the next five years.

Last week, Ted Friedman, a vice president at Gartner, named five key factors to make data integration projects successful. They are based on the information elicited from surveys and conversations with Gartner clients. These factors include:

Standardization means that organizations should focus on repeatable processes and approaches for dealing with data integration issues.

Diversification is about employing a wider variety of tools that meet the needs of the particular business.

Unification stands for determining how to best link the combinations of available tools and architectures in a synergistic way.

Leveraging data-integration technology to its fullest implies that when data integration has a positive impact on the business, organizations still need to focus on ways to increase the breadth of business impact.

Governance is seen as an insurance policy to get the optimal value out of all data integration investments.

Though being a challenge, a successful data integration project enables an organization to save on expensive upgrading costs by achieving the full potential of their current systems. That is why it is so important to carry out complete research and analysis before actually introducing a data integration solution.

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