Data integration can be incredibly complex. The market is full of tools with a wide range of capabilities that provide support for multiple usage scenarios. Organizations need to choose among on-premise and cloud-based data integration solutions, single-purpose solutions, and multi-function integration solutions, plus others. On top of all that, to choose the right data integration solution, they need to have a robust integration strategy and be aware of the benefits (and pitfalls) that solution contains.
Reimagined solutions powered with self-service and automation capabilities ease the data integration process and help companies deliver the value promised to customers, creating new and additional revenue streams.
This post illustrates the benefits offered by self-service data integration solutions. Let’s take a look.
1. Eliminate Data Silos
Many organizations encompass independent systems and departments that store and use the same data. Sometimes, this is a result of a merger and/or acquisition. For example, if one retailer merges with another retail unit, both will have suppliers, customers, and partners in common and have information about these entities in their respective databases. However, both brands will run separate databases, and the information stored in those databases may not always agree. This duplicate data is the result of siloed systems.
The problem can be solved using self-service data integration solutions. These solutions enable businesses to integrate customer or partner data in the most secure and seamless fashion, thus resolving the problem of data silos.
2. Improve Teams’ Productivity
When traditional data integration solutions are used, IT teams need to implement custom codes and build extensive data makings to build connections. This can take weeks or even months, dominating the schedules of IT workers and causing delays in customer service.
By using self-service data integration solutions, companies can empower non-technical business users to implement data connections while freeing IT to focus on more high-value tasks. So, the business users can devote their time to execute data-driven operations such as onboarding and data integration, and IT can drive more strategic business projects. The productivity of both teams improves.
3. Reduce Business Costs
Because IT teams need to handle all operations by themselves, they become burdened with extensive mapping and coding and unable to focus on other projects. These scarce IT integration experts struggle to implement data connections for weeks or months, which leaves other IT priorities understaffed. Meanwhile, the business partners wait for digital integration.
Self-service data integration solutions automate and speed up the process of integration by 80 percent, freeing IT integration experts to drive more high-value tasks. Also, this offsets the need for organizations to hire additional data integration experts.
4. Accelerate Revenue Growth
With traditional data integration solutions in place, the majority of organizations take weeks or months to integrate and onboard business customers – creating a costly bottleneck. Meanwhile, business customers need to wait to receive the value promised to them, and revenue is delayed. As a result, organizations suffer from frustrating CX that impacts their upselling efforts negatively.
Self-service data integration solutions use AI and self-service to speed digital onboarding by 80 percent, thus enabling organizations to connect and meet the needs and requirements of customers. This makes customers happy and satisfied. Such happy customers are more likely to buy more products or services from the organization. Because customers receive the promised value sooner and revenues are accelerated.
In short, a self-service data integration solution enables businesses to eliminate data silos, improve teams’ productivity, reduce business costs, and accelerate revenue growth. For more information, watch a demo today!