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Five Tips to Transform Customer Experiences through Data Integration

Managing a better customer experience is critical to almost every business. After all, it carves out a path for businesses to foster engagement and brand building. It’s important to get it right so that the company improves their ease of doing business and generates new revenue streams. Without a good experience, you can lose customers, hurting your bottom line in the long run. 

In an attempt to create delightful experiences for customers, many companies are relying on reimagined data integration technologies. Why?

That’s because modern data integration solutions enable companies to connect, transact, and do business with customers much more quickly. It becomes easier for companies to address the needs and requirements of those customers and deliver the value they’ve been promised. Customers feel appreciated and inspired to not only come back but also invest in other products or services offered by the company. 

But how can a company leverage a modern data integration platform to create delightful customer experiences? 

We performed extensive research to gain more information about this and received five tips from the industry giants on improving a company’s customer experience. The answers given are insightful and can prove useful if you’re looking to revamp your organization’s customer engagement in the near future. 

1. Onboard customers 80 percent faster

Modern data integration solutions enable businesses to onboard new customers up to 80 percent faster. These solutions are powered with self-service features that help non-technical business users implement customer onboarding connections. Users need to point and click through easy-to-navigate screens to perform the onboarding process quickly. 

2. Integrate customer data faster 

Modern data integration platforms empower companies to integrate customer data faster than legacy data integration solutions. The integrated data acts as a wealth of information for data analysts. They can use the information to decipher the behaviour, preferences, needs, and requirements of the customers. Once they are aware of that, the company can take steps to meet those needs and demands. 

3. Empower your non-technical business users 

Self-service-powered data integration technologies enable non-technical business users to implement data connections with customers. So, in contrast to legacy solutions that enabled IT integrators to perform data integration, self-service data integration gives the power to non-technical business users and brings them to the business forefront. These non-techies can rely on pre-built application connectors, dashboards and intuitive screens, shared templates, and AI-data mapping to build integrations for the business quickly, smartly, and easily. 

4. Enable IT to drive strategic tasks 

While non-technical business users perform onboarding and related data integration steps, IT becomes free to focus on more high-value business priorities. IT teams no longer need to implement long, extensive custom codes and data mappings to integrate customer data. Consequently, IT can use their time to work on other strategic projects. 

5. Incorporate artificial intelligence and machine learning 

Modern data integration solutions rely on artificial intelligence and machine learning algorithms to improve the speed and accuracy of the data integration process. Non-technical users can let artificial intelligence understand and specify data semantics, and then leverage machine learning algorithms to implement data connections following those data rules. That saves time and improves accuracy. In addition, a single click is required to retrieve, break down, and manage multi-dimensional, highly complex data and stream it in real-time to execute business transactions.