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As organizations continue to invest in an increasing number of applications, it’s important that they find ways to consolidate them with their existing technological solutions. 

After all, disconnected applications can make organizations go down the rabbit hole of problems – whether it’s preventing lines of business from gaining access to important data or compelling employees to enter information through manual means across multiple applications.

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As organizations continue to handle more data and adopt more applications, the need for that data and applications to work together has never been greater. 

But serious challenges in integrating data and connecting applications persist, forcing employees to jump between apps to get access to data, integrate data to access different applications manually, and inevitably, lose insights that can help companies make informed decisions. 

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As companies scale, they rely on an increasing number of applications for garnering and storing their data. The average organization, for example, leverages nearly 300 applications across its business ecosystems. 

However, as companies invest in more applications, they fail to get most of the growing volume of data that’s collected: Research by IDC states that the average company doesn’t use 68 percent of its data. 

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According to Gartner, in order to manage the intricacies of digital information and related activities, organizations will turn to automation. And to enable automation, companies need to make use of artificial intelligence, machine learning, and self-service-driven solutions. 

Self-service data integration solutions are becoming the norm as customers expect efficient, personalized customer experiences at speed and scale.

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Data integration platforms unlock many possibilities in healthcare. Business experts can evaluate trends in population health, medical information and records can keep medical professionals updated, and individuals can become active participants in their health journey. 

Although the importance of data integration can’t be denied, numerous challenges impact healthcare data integration, from a lack of standardization to securing patient data.