The proliferation of data and uptake of technologies have brought a paradigm shift in the business world. The rise of data-driven technological solutions has proffered the shifting business landscape a whole new dimension that was only vaguely present at the onset of the digital era. 

On leveraging these technologies, CIOs and D&A leaders can easily harness the true potential of large streams of data for better decision-making. In doing so, they can comprehend their customers’ demographics and facilitate better ROI. Therefore, on all accounts, such developments have fueled an epochal transformation that has helped companies drive business pursuits, ensuring higher value and improving their ease of doing business. 

Digitalization has brought a transformation in the way organizations transact and do business with their partner network. It has allowed them to speed operations, grow revenue, and deliver delightful customer experiences (CXs). Despite these benefits, digitalization has introduced a plethora of challenges. It has reinforced the rise of connection points and devices online, which isn’t even limited to individuals. With the emerging data sources, the data exchange processes turn tedious and time-consuming.

Challenges Around Data Exchange 

Enterprises exchange data across the supplier ecosystem. Complexity and delays are one of the most common implications of this outburst. Those who rely on legacy solutions must execute complex custom coding and EDI mapping to comprehend customer data, and this takes a lot of time and resources. As the burden on the resources increase, IT teams struggle to focus on more high-value tasks. This makes a direct impact on productivity and the company’s ability to generate value. 

Let take an example to dive into details. A manufacturing company is producing a colossal amount of information, and all this data can be shared with partners to drive improved customer interactions. Ensuring secure data exchange and transfer can help organizations do that without difficulty. 

Owing to the increase in apps and other technologies, the increased expectations of customers have reached new heights. Consequently, the interactions and data exchange has become complex and time-consuming. Now, in that case, companies need to handle an enormous amount of information that is not only challenging but also costly.

In case when a user fails to analyze the datasets on time, growth suffers. Suffice to say, with a multitude of data points increasing and virtually everyone getting online and producing a data trail behind them, the data complexity increases by leaps and bounds. The problem escalates further with increasing customer expectations and the data being exchanged and tracked. Post the big data revolution, companies undergo a massive impact associated with the 4Vs: Volume, Velocity, Variety, and Veracity. A majority of organizations fail to combat such complexities and that ultimately impacts their ease of doing business. In addition, users’ ability to comprehend customer data decreases, and so does the decision-making suffers. As a result, companies’ ability to generate revenue and grab market share takes a toll. 

Ensure Faster, Smarter Data Exchange with Self-Service 

Companies have found it challenging to extract the true value of customer data. Those who rely on EDI or API-first integration strategies have to face even more hurdles. Not only do they fail to analyze the big data but also use the insights to make decisions. Ultimately, companies that use these solutions are not able to meet the customers’ expectations and drive the business forward. The self-service integration solution has a major role to play here. 

Secure data integration solutions with effective self-service capabilities empower even non-technical users to integrate customer data faster and facilitate secure data exchange process. While users execute integration tasks, IT teams can take up the governance role and focus on more high-value tasks instead. So, it puts non-technical users at the forefront of the business. Firms can rely on it to handle large volumes of data for greater insights and agility. 

Adeptia features such as AI mapping, pre-built application connectors, shared templates, user-friendly dashboards enable users with minimal technical expertise to easily onboard, ingest, transform, and integrate big data – securely and easily. It’s fair to say that the complexities introduced with the advancement of the internet and related technologies can be used to deal with modern data integration solutions.