Although the significance of data integration is apparent, many organizations struggle with setting up integrations in a quick, secure, and scalable manner.
In order to succeed, organizations need to identify these challenges and use appropriate solutions to overcome them. This blog post illustrates the common challenges faced by organizations while building data integrations and provides solutions to boot.
Why Is Setting Up Data Integration Challenging?
Data integration solutions play a vital role in helping organizations build connections with customers, identify and meet their emerging needs and requirements, and grow revenue. However, due to many reasons, it’s not an easy task to perform. In fact, the process of data integration takes time and encompasses multiple complexities.
Let’s dive into the challenges posed by data integration solutions.
Challenge 1: Lack of Proper Data Integration Strategy
When an organization fails to formulate a robust data integration strategy, it is bound to experience delays, increased costs, and other negative consequences. That’s why an effective data integration strategy is necessary.
A modern data integration solution is what an organization needs. Otherwise, the entire responsibility of creating custom codes and implementing data mappings falls on the shoulders of IT teams, who have to manually create codes to integrate customer data, which takes weeks or months of calendar time. During that time, business workers wait to connect and meet the needs and requirements of customers.
Now, when modern data integration solutions with self-service and AI and machine learning capabilities are used, IT teams are freed up, and they can focus on more high-value business priorities. Non-technical business users rely on features such as pre-built application connectors, AI data mapping, and dashboards to implement data connections much more quickly. At the same time, the expensive IT integrators are freed to drive other strategic tasks.
By connecting with customers faster, businesses are able to identify and meet their needs sooner. Those customers will likely buy additional products or services from the organization and stay longer, accelerating revenue growth.
Challenge 2: Security Risks
Security is a major concern for organizations, so any data integration solution must offer an end-to-end encrypted environment that allows only authenticated users to use data for various purposes. Otherwise, the risk of breaches or thefts will be high.
Modern data integration solutions provide a secure, end-to-end encrusted environment for significant data types that help organizations exchange data across different business ecosystems in the application. It means data exchanges and transfers take place over encrypted connections. First, the business user is individually authorized and authenticated, and then they can register and log in to the application. As a result, data security is ensured.
Challenge 3: Lack of Ability to Scale
Even the most modern data integration solutions cannot prove helpful for businesses if they are not designed to scale. This lack of ability to scale makes it impossible for mid-sized and large-sized businesses to manage and use an influx of data in the most efficient and secure manner.
The solution is to deploy a data integration software that scales at its very onset. As a matter of fact, some of the top IT specialists consider scalability should be at the forefront of designing and implementing data integration solutions. Additionally, the organization must prepare itself for business expansion and foresee data integration needs ahead of time. This helps them prevent and remove operational lags and improve the customer experience. Consequently, organizations can create new and additional revenue streams and reduce costs.
Adeptia’s data integration solution powered by self-service and automation enables organizations to handle the challenges, thus delivering the value promised to customers faster, reducing costs, and growing revenue. Watch a demo today!