Popular Trends in Data Integration to Look for in 2022

Data has always been a critical asset for both startups and big-league organizations since the dawn of information technology. The proliferation of big data, on the other hand, has resulted in decentralized data management.

Fremont, CA: Businesses that maximize their use of data will always have an advantage over their competitors. They must embrace digitally transformative technologies such as data integration to accomplish this.

Data integration is the foundation of digital transformation. It is critical in assisting businesses in creating data connections across supply chains and integrating new customers at the speed of business. In other words, this technology enables users to connect with their customers faster and streamline transactions, improving the ease of doing business and, ultimately, revenue. However, to reap the greatest benefits, one must be aware of trends that promise to take data integration to the next level.

Here are the top data integration trends that CIOs and D&A leaders should pay attention to as they strive to transform and deliver value more quickly.

Rise of Hybrid Integration

Data has always been a critical asset for both startups and big-league organizations since the dawn of information technology. The proliferation of big data, on the other hand, has resulted in decentralized data management. Those who continue to rely on legacy solutions are unable to handle the impact – and as a result, they are unable to provide the required adaptability to connect multiple endpoints hosted in cloud solutions. The true value of a hybrid integration platform (HIP) is found here.

A hybrid integration platform enables business users to combine data from on-premise and cloud-based systems. It is capable of dealing with the level of complexity present in today's disruptive environment.

Self-Service is the Key

Integration technologies that enable self-service bring non-technical users to the forefront of business. That is, users with little technical knowledge can easily create data connections, thereby streamlining transactions across partner ecosystems. This frees up IT teams to focus on higher-value tasks rather than complex, resource-intensive tasks like data mapping.

Pre-built application connectors, shared templates, monitoring dashboards, and other features allow non-technical users to integrate customer data without requiring IT assistance. As a result, these technologies boost business and IT user productivity.