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Best practices for enterprise data integration

Workarounds to envision a crackerjack enterprise IT integration strategy.

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John Scutz
September 12, 2018

John Scutz

My name is John Scutz and I am a technology enthusiast at Adeptia Inc. As an active participant in the IT industry, I often like to talk about data, integration, and how technology is helping businesses realize their potential

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Each business initiative demands proper access, integration, and data delivery. Data is all around us (on-premise, in disparate systems, cloud, and varied formats) and accessing it without interruption data is no child’s play. It needs to be properly cleaned, aggregated and validated. Thereafter, it must also put into a meaningful form to users and applications that require it.

Enterprise data integration is a way to empower an IT organization for accessing fragmented data, develop an accurate and consistent interpretation of fundamental info assets. These assets need to be leveraged throughout the enterprise for inspiring proper and timely business decisions and operations. These problems can be addressed through data integration. It resolves complicated issues that arise out of data fragmentation.




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The present-day regulatory environment is strict. Hence, the data must be governed properly. Organizations need to track the source of their data to meet specific audit requirements. Additionally, data security should be ensured throughout the process.


Modern age organizations are integrating data with various developer tools and costly appliances. Most professionals are focusing on implementing real-time analysis and reporting for operational decisions. Still, they are failing to get an integrated view of their data. In this blog, we will discuss some workarounds to set up an enterprise integration strategy that solves these issues.  


Best Practices for Enterprise Data Integration and Management


Assessment of Performance

It is crucial for businesses to obtain a crystal clear understanding of data flows and types of data available. This help in developing an effective enterprise data integration and management strategy. Although time-consuming, the process is definitely worthwhile and ensures proper implementation of all methods of integration and management. 


Educate and Inform Stakeholders

Improper distribution of policies, standards, and procedures keep enterprise data management away from positive results. For enterprise data integration strategies to work well, it is important that those dealing with data are involved deeply with the project. An education campaign will help spread awareness and understanding of the enterprise data integration and management goals across the company. Teams can learn how to achieve the goals and objectives of the initiative.


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Focus on Quality

Remember that bad data is actually eviler than no data. So make sure you focus on the quality of data to guarantee proper security and integrity of data. Businesses must realize that enterprise integration is the key to their success. 



Make the Right Investment

It is crucial to focus on investing in the right people and technology. The art of data management isn’t everyone’s cup of tea. Hence, it is suggested to have an in-house experienced professional or an expert on the consultation basis. Make sure the professional has decent experience in establishing enterprise data management systems. Knowledge possessed by these individuals is very helpful in identifying the right technologies to use. Professional advice can help your business avoid downsides such as violations of regulations, accidental loss of data etc. which ensures the successful and efficient implementation of enterprise data.

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