In today’s business world, data should underpin every decision. It proves to be your most valuable asset if it is stored, processed, managed, and shared in ways that you can use insightful information to make decisions and deliver value. To do this, you need to deploy a modern data integration strategy.
There are numerous factors to consider while deciphering ways to use data to better serve your customers and facilitate business operations through data integration. What kind of data integration technologies will prove useful in consolidating and using large-sized data streams? Who in your company will want the data access? How will your company comply with today’s data protection regulations?
It’s essential that companies implement a robust business strategy that impacts your company’s ability to deliver the value promised to customers and . To become a data-driven company, it’s crucial to comprehend your company’s goals, available resources, and needs, along with the overall direction of the current competitive business world. Once you do that, you can create a future-proof data integration strategy that sets you up for success.
The Three Elements of a Data Integration Strategy
While starting a data integration strategy, companies often fail to not recognize the four critical elements of data integration strategy. And that can prove detrimental to companies’ overall performance.
A robust data integration strategy needs to take these three aspects into consideration:
1. It should increase the speed of data integration: With a lot of disruptions in the industry and ever-increasing customer expectations, one should be able to perform data integration with speed and scale. Self-service data integration solutions have a central role to play here.
By leveraging self-service data integration solutions, companies can empower non-technical business users to implement data connections with speed and scale. What took weeks or months will take only minutes or hours now. Meanwhile, IT becomes free to focus on other high-value tasks. Self-service data integration solutions entail features, such as pre-built application connectors, dashboards, intuitive screens, shared templates, and AI-data mapping, that enable users to integrate data streams quickly, easily, and smartly.
2. It should not put the burden on already scarce IT teams: When self-service integration technology is used, non-technical business users are empowered to build data connections all by themselves. As a result, IT teams are freed to focus on other important business priorities. No longer do IT teams need to implement long custom codes and perform extensive data mappings in order to build data integrations. In fact, they become free to focus on more high-value tasks.
3. It should increase the customer lifetime value: When users develop data connections with customers sooner, they are able to address the needs and requirements of those customers much more quickly. As a result, customers become delighted and satisfied. These happy customers are more likely to stay with the company and invest in other products or services. Ultimately, the company’s retention capacity increases by leaps and bounds.