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The Key Benefits of Low-Code, Self-Service Customer Data Integration Solutions

Modernize Integration to Drive Your Digital Transformation Initiatives

Every developer or data engineer is familiar with the tedious task of coding an app or custom integration from scratch. No doubt, there is probably code from Stack Overflow or GitHub you can customize at speed and with minimal effort. You may even have access to some codes you can adapt from a previous project. But even with these shortcuts, you’re still spending valuable hours around basic coding procedures that could be used to drive other strategic tasks, organize arrays, double-check operators, and write functions. 

But if you could cut down coding time, or even eliminate it, why wouldn’t you?

That’s why a majority of companies are switching to low-code, self-service-powered solutions for creating data connections and delivering value. And they are enabling that without compromising the speed, functionality, and accuracy of their integrations. 

Here’s a look at some of the major reasons behind low-code, self-service integration solutions and how they help companies reduce the need to rely on hand-coding approaches. 

Quicker, More Efficient Integrations 

Low-code, self-service integration is synonymous with speed. Sure, low-code, self-service integration solutions can save hundreds of hours of development time by cutting down the need for hand-coding or complex EDI mapping procedures. 

Such solutions encompass pre-built application connectors, shared templates, dashboards or intuitive screens etc. Business users can leverage the power of these features to create customer data connections at the speed of business. So, what took months earlier can take minutes now. When users utilize these functionalities through a drag-and-drop approach, they need not know every detail of the code behind the veil. 

Better Risk Management and Governance

Low-code, self-service integration solutions enable non-technical business users to create data connections and add new customers to their ecosystems. As business users become the forefront of business, IT users can take up the role of governance and manage risks. So, since IT users need not invest days or weeks to onboard and integrate complex customer data, they can focus on more important, high-value tasks. 

We hear that all too often about vulnerabilities that get introduced as a result of coding problems. Low-code solutions help users cut down on these errors by automating the back-end code of surface-level structure.

The agility of low-code, self-service-powered integration solutions paves a path to better data governance. Upgradations happen faster. Deployment becomes quicker. The result is improved compliance with data integrity standards, data privacy guidelines, and other essential areas of governance across multiple aspects of deployment. 

As digital infrastructure grows and interconnectivity becomes more robust, low-code, self-service integration solutions are extremely critical. Organizations need quick, secure integration solutions that connect data connections and applications with their data systems. Nothing makes this easier than the self-service features of modern data integration platforms. Better still, this is accomplished in a fraction of the time, whereas, it might take a traditional coder to customize APIs or EDI to achieve the desired connectivity on a per-connection, per-app, and per-service basis. 

Rapid Transformation and Improvements 

With the technology landscape changing and digital infrastructures evolving, customer data have witnessed an enormous shift. Users can rapidly integrate such complex, bi-directional customer data and create connections at the speed of business. 

The days of standalone technologies such as ETL and ESB are gone. Businesses can mobilize citizen integrators and programmers to act quickly and decisively, both by making improvements as they’re needed and anticipating future needs.

By leveraging low-code, self-service integration solutions, even non-technical business users can monitor myriad data streams and consolidate them into a data lake or data warehouse, where they can be analyzed or processed for future purposes. This can speed up insights delivery and ultimately promote decision-making. While business users create connections, IT users can focus on more high-value tasks to ride the wave of innovation. Consequently, companies can quickly propel their digital transformation initiatives to improve their ease of doing business and generate revenue.