Retail ecosystems and consumer goods companies are attemptng to navigate a disruptive, confusing world. IT teams are overburdened, business leaders and stakeholders are frustrated, budgets are deflating, and initiatives face constant delays.
To meet the needs and requirements of the business and deliver on them without difficulty, IT, as well as business teams, require a modern data integration model that can:
- Onboard partners 80 percent faster
- Empower non-technical business users to handle operations
- Free up IT to focus on more high-value, strategic business projects
- Deliver the value promised to customers and increase upsell
- Reduce overhead costs
Data integration solutions require IT teams to create custom codes and build extensive data mappings to implement data connections. Unfortunately, that takes weeks or months of calendar time, and during those delays, business workers wait to connect with customers. As a result of these long wait periods, customers become unhappy and frustrated with the service. What’s more, when IT teams implement codes, a brittle, unmanageable architecture can be the result, making it hard to adapt and evolve over time without breaking down.
So, how do we solve these problems?
How Do Modern Data Integration Solutions Align IT and Business Users?
Modern data integration solutions with self-service and automation (that uses AI and machine learning) help retail and consumer goods companies align IT users and business users to drive business outcomes.
Self-service data integration solutions enable non-technical business users to quickly implement data connections. These solutions empower business users to onboard partners 80 percent faster. Non-technical users can point and click through easy-to-navigate screens to quickly create onboarding connections.
While non-technical business users create data connections, scarce and expensive IT teams become free to focus on more high-value, strategic business priorities. IT teams need not create long custom codes and perform data mappings. Instead, they can devote their time to higher-priority tasks.
What’s more, technologies such as AI and machine learning enable non-technical users to understand and define data semantics and then make data connections following those data rules. Also, a single click is required to retrieve, break down, and manage highly complex, bi-directional data and stream it in real-time to execute modern-day business transactions. Business users can process highly secure transactions between a safeguarded ecosystem and their environment without getting affected by breaches.
When business users connect with customers sooner, it becomes easier for companies to do business with those customers and deliver on their needs and requirements. As a result, customers become delighted. These happy customers are more likely to buy more products or services from the company and stay longer. This helps companies create new revenue streams. And finally, by freeing expensive IT teams to take up a strategic role, companies can reduce business costs.