Top Factors That Contribute To Data Integration Success
In the last ten years, the data integration landscape has changed drastically. At least 40% of data management executives place data integration in the same rank as other operational challenges. Nowadays, you can benefit from the broad array of integration technologies used in various applications in different sectors. Sadly, not many people in the data integration realm are able to fathom emerging integration techniques despite the availability of innovative industry tools. If you expect to reap the benefits of data integration, make sure that you think beyond old fashioned methods and ignore the stereotypes surrounding data integration.
With time, you need to ensure that data integration is a fundamental strategy regardless of the kind of business you operate. It’s not easy to discover the actual value of the data in your possession if you ignore the need to work with the best data integration practice along the way. These days, merging disparate data from a variety of sources is a complex undertaking. Many firms have to contend with massive data volumes, and there are more data source coming to the fore.
Your data integration project requires a stable platform to succeed, but you need to know the essential factors that drive success. Before you start, it’s good to know that your data integration project will prevail if you insist on good data quality. Simply put, the best of data integration projects will flop if you operate with compromised data quality. If you want to avoid losses, it’s advisable to push for data quality before, during and after the data integration and implementation processes.
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If you ignore data quality, your project will not only fail, but it will result in poor user adoption. If your end users realize that you have issues with quality, they are likely to distrust your data, and they will report to outdated methods. Successful data integration projects are as a result of employing a consolidated approach from the get go. Going about the integration in a disorganized manner means you won’t achieve the refined view of data from a single platform. You need to realize that avoidable mistakes and inconsistencies can lead to losses and poor efficiency.
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Some firms consider integration as a one off endeavor but it pays to think about scalability as well. If you work with scalability in mind, you will be able to amp up your data integration project when the system gets an upgrade. Companies that choose to go for future proofed in data integration systems will save a lot of money and resource not to mention they will stay ahead of the pack. If you expect to succeed in the data integration endeavor, it’s imperative that the senior management offer unending support. If you incorporate proven data integration best practices and support are in place, the integration is bound to be manageable.