Data is being transferred, exchanged, and moved between businesses more frequently than ever before in the current disruptive times. Because of this, problems such as delays or data errors or modifications related to formatting, structure, and content can be significant bottlenecks with costly consequences for mid-and large-sized companies.
The problems worsen when traditional data integration methods are used. That’s because traditional data integration solutions require IT or technical teams to implement data onboarding connections, which takes weeks or months of calendar time. Further, a lot of time goes into performing subsequent steps of data integration. In the process, customers are forced to wait to connect with the business users before they receive the promised value. This instils a sense of frustration and dissatisfaction in the business customers. Now, such unhappy customers refrain from buying more products or services from the company, if not leave entirely.
The good news is that all these issues can be resolved using a self-service data integration solution. By enabling non-technical business users to onboard customer data 80 percent faster, self-service data integration solutions act as a catalyst in delighting customers and delivering the value they’ve been promised sooner. At the same, IT is freed to focus on other priority tasks.
If you are looking for some extra insights on how to leverage self-service data integration to transform your data onboarding experiences in order to avoid delays or risk of inaccuracies and leave a good impression on your customers, here are three trends you must watch out for in 2022.
Three Data Onboarding Trends for 2022
1. The initial onboarding process will become 80 percent faster
Companies will speed up their customer data onboarding processes by up to 80 percent faster through self-service and automation. How?
Self-service data integration and automation enable non-technical business users to implement data onboarding connections in minutes instead of months. Non-technical users need to just point and click through easy screens to onboard complex, bi-directional customer data streams. Business users can connect and do business with customers sooner. That delights customers as they receive the value they’ve been promised without waiting for weeks or months. Such happy customers are more likely to buy more products or services, and so companies can create new revenue streams easily, securely, and quickly.
2. Business users will come at the forefront
Self-service integration will power up non-technical business users to perform data-driven operations, freeing IT to focus on more high-value tasks.
Self-service data integration enables non-technical business users to implement data connections in minutes. With automated features such as pre-built application connectors, shared templates, dashboards, intuitive screens, AI-data mapping, and more, non-technical users can perform data integrations all by themselves. At the same time, IT is freed to focus on other projects.
3. AI-powered enabled technologies to rise in popularity
AI and machine learning technologies will transform the way companies manage their customer data streams. Non-technical users can let artificial intelligence understand and define data semantics, and then implement data connections following those data rules. Further, a single click is needed to retrieve, breakdown, and manage complex data and stream it in real time to perform modern-day business transactions.