At present, data has become a secret weapon to provide business value. All the growing businesses look forward to adopting data fabric architecture. Data Fabric help organizations in combining together data from internal as well as external sources to develop a unified network of information which, are then used to strengthen apps, Artificial Intelligence(AI), and Analytics.
Data fabrics have the capability to utilize analytics to support the design, deployment, and use of integrated data across hybrid and multi-cloud platforms, but in order to achieve an effective data fabric, it is required to first master the end-to-end integration across the company’s technology stack.
Due to the pandemic, companies faced a huge impact on revenue and supply chain leading to rapid cloud integrations after understanding the importance of “Ecosystem Integration”. So, what is “Ecosystem Integration”? In short, Ecosystem integration is an approach that help companies connect and integrate the core revenue-generating business processes between a company and its ecosystem partners, apart from this it also helps in building automated processes that respond dynamically to market disruptions.
Conquer integration for an effective data fabric
Below are the 3 practices, a company’s IT team should master before integration to achieve a seamless and effective data fabric.
⦁ Develop a robust data integration
As data fabric spreads across different internal and external platforms, proper ecosystem integration is essential for a cohesive, useful data fabric. Also, because data fabric combines data from different platforms it is required that the data fabric is compatible with various data formats to support all types of users, including IT and business users. So, to achieve the same, Ecosystem Integration is required. To make your data integration robust it is also essential to organize an end-to-end integration with a huge network of applications, suppliers, customers, and marketplaces. Following this approach, a company becomes equipped towards delivering better business outcomes for faster application on-boarding, process optimization, and improved agility.
⦁ Gain end-to-end visibility of all transactions
If a robust integration is not in place then it limits transaction visibility in situations when modifications are not documented automatically, when partners and customers pass each other’s product back and forth. This causes employees to spend more time focusing on knowing the source of transaction errors, thus, increasing the risk of human error and wasting time which, could have been spent doing more productive and revenue-generating activities.
So, in order to obtain real-time transaction visibility on your business network, it is required to build customized role-based dashboards with insights that will help in providing context and updates for processes such as ticketing, notifications, and alerts.
⦁ Don’t manage multiple integration platforms
As integration solutions over the recent decades have observed a relatively slow expansion, many companies are managing multiple integration processes with different, siloed solutions. This is an old approach and the organizations following this approach need external integration expertise.
So, it is required that these integrations are consolidated to a single one, this will help save time as well as resources. In addition to this, a modern user interface on cloud can be used to make workflows and operations efficient.
The New age of Data Management
At present, businesses are operating in a highly competitive and diverse business environment due to which they are aspiring towards getting an agile approach to data management, but in order to make data fabrics the future of data management a proper technology infrastructure including integration technology is required to be in place.
The practices that are listed above for modern integration if followed correctly, companies can create a solid technology foundation for a compatible data fabric that connects the entire organization. Data fabric amplifies the value of your company’s data as well as provides significant value for partners, customers, and other stakeholders. Thus, because of the above reasons, data fabrics can be the future of data management.