Education

If You Read One Article About Sales, Read This One


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. Today, you can use a variety of data integration technologies for applications in different fields. 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 want your data integration project to succeed, it’s advisable that you get past obsolete methods and the myths associated with the process.

With time, you need to ensure that data integration is a fundamental strategy regardless of the kind of business you operate. Your business will not know the real value of the data you have amassed if you don’t incorporate data integration best practices in the process. These days, merging disparate data from a variety of sources is a complex undertaking. Companies are finding it challenging due to the huge volumes of data to be assimilated while more data sources continue to emerge.

For data integration to be successful, it needs to be hosted on a proven platform although you need to work with critical factors that enhance success. Before you initiate, it’s wise to know that your integration project will succeed only if you work with refined data quality. Simply put, the best of data integration projects will flop if you operate with compromised data quality. To avoid wastage, consider data quality before during and after the data integration and implementation phase.
Looking On The Bright Side of Date

If you proceed to work with poor quality data, your project will fail, and you will experience dismal 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end users realize that you have issues with quality, they are likely to distrust your data, and they will report to outdated methods. Data integration projects that deliver significant outcomes are as a result of a consolidated approach from the onset. 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.
Looking On The Bright Side of Date

Some firms consider integration as a one off endeavor but it pays to think about scalability as well. If you consider scalability in the process, you won’t have to worry when the rest of the systems in your industry get updated. A business that chooses integration systems that are scalable will save money, and it will be ahead any time a change occurs. If you want the data integration project to succeed, the firm’s top organ need to support it. When the data integration project is hinged on best practices and proper support, it doesn’t have to be demanding and involving.