According to Gartner, in order to manage the intricacies of digital information and related activities, organizations will turn to automation. And to enable automation, companies need to make use of artificial intelligence, machine learning, and self-service-driven solutions.
Self-service data integration solutions are becoming the norm as customers expect efficient, personalized customer experiences at speed and scale. Organizations are using AI and machine learning protocols to map complex, bi-directional customer data and deliver the value promised to customers without difficulty. These AI-powered technologies enable companies to implement data connections with speed and accuracy, and give customers what they need to achieve higher operational accuracy. The impact is such that 91 percent of companies are planning to deploy AI within the next three years.
In organizations with conventional data integration systems, delays are quite common. IT teams take weeks or months of calendar time to implement data connections with customers. In doing so, they implement custom codes and implement data mappings, which are complex and time-consuming at the same time. During that time, customers wait to connect with business users and have their needs met. Also, these solutions fail to empower customers to self-onboard and self-manage transactions.
Self-service integration solutions and AI-powered solutions can resolve these issues and help companies deliver better business outcomes. Here’s how:
How Can Self-service Data Integration and Artificial Intelligence Facilitate Automation?
Self-service integration solutions enable non-technical business users to implement data connections with customers. Users can rely on automated features such as pre-built connectors, shared templates, dashboards, intuitive screens, and AI-data mapping to create these connections. Now, because IT teams do not need to create custom codes and implement data mappings for building data connections, delays can be prevented. Also, accuracy improves, which eliminates further delays.
What’s more, self-service integration solutions enable non-techie business users to onboard customers 80 percent faster. Users can point and click through easy-to-navigate screens to create onboarding connections much more quickly than with conventional solutions. Also, customers can use these solutions to self-onboard and manage business connections and transactions.
At the same time, IT is freed from implementing custom codes and building data mappings. Instead, they can devote their time to innovation-driven, strategic business priorities. And, because the bridge between IT and business users is created, companies do not need to onboard more technical staff to handle operations. That helps companies reduce overhead costs.
Artificial intelligence and machine learning protocols have transformed the way companies transact and do business with customers. As a matter of fact, AI and machine learning enable non-technical business users to understand and define data semantics, then implement data connections based on those data rules. Further, only a click is required to retrieve, break down, and manage complex data and stream it in real-time to drive business transactions. Business users can run highly secure transactions between a safeguarded business ecosystem and their environment without getting affected by security breaches or thefts.
When business users can connect with customers faster, it becomes easier for companies to identify and meet their needs and requirements. Once that happens, customers are satisfied. It’s more likely that these delighted customers will buy more products or services from the company. As a result, companies can witness major revenue growth.
In short, self-service data integration solutions and AI enable automation and help companies deliver the value promised to customers and create new revenue streams for the business.