When computing and evaluations began shifting from enormous mainframes to smaller, distributed systems, these systems needed a highly stable means of communicating links. One of the first methods, electronic data interchange (EDI), helped systems share and exchange data in well-defined formats.

When companies use traditional data integration methods, they take weeks or months to onboard new customers. Most of the responsibility for the work falls on the shoulders of IT.

If you’re a data giant or high-growth organization, you’re in a unique position to facilitate data acknowledgment and appreciation. Don’t waste this golden window of opportunity.

As you work to improve efficiency and accelerate revenue for your business, there’s one key process you should focus on: business customer onboarding. Because the underlying data integration aspects of new business customer onboarding are increasingly complicated, many companies have simply accepted that the cost of doing business in the age of digital transformation requires time, data integration developer tools, and a small army of data integration developer experts.

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.

Data integration platforms combine data from multiple source systems to create unified sets of information for operational and analytical purposes. Its primary objective is to generate consolidated data sets and insightful information in order to address and meet customers’ needs and demands.

Retail businesses have undergone a metamorphosis in the last five years. Self-service data integration and automation can make the difference between becoming a butterfly or staying a caterpillar.

Many high-growth companies have to face an inconvenient truth: they scale and evolve so fast that they fail to recognize a problem until it’s too late. 

Let’s take a hypothetical example for a better understanding.