Data-Centric Enterprise Integration
Data-Centric Enterprise Integration
Enterprise-level data integration is integral to digital transformation. See how a new generation of iPaaS can help achieve this.
Join the DZone community and get the full member experience.Join For Free
The Future of Enterprise Integration: Learn how organizations are re-architecting their integration strategy with data-driven app integration for true digital transformation.
Transformation is the watchword amongst CIOs and IT leadership - but what does this really mean? And what steps should you take?
Forward-thinking businesses must embrace the convergence of application and data integration - ensuring consistency and governance across hybrid environments. If businesses want the right kind of data to underpin advanced business processes or to create multi-dimensional views of data objects, data-centric integration must be pursued as a strategic function that aligns with business objectives.
Our Vision for Scalable Application Integration
Unfortunately, many enterprises today have become bogged down with legacy iPaaS platforms. Data-centric integration turns the focus of application integration towards the data upon which organizations rely, rather than "point-to-point" integration patterns that dominate the integration landscape today. With enterprises having on average 1,071 cloud services in use today, legacy integration patterns simply can't scale. Cloud Elements is turning the integration hairball into a scalable model for digital business and providing the governance needed to protect enterprise data.
Data is strategic, both data that you own and data that you don't. The ability to bring the right data together, at the right time, leads to a business that can make decisions around almost perfect data.
Putting This Into Practice
For example, a bank can leverage internal data, such as the number of SMB loans sold over a period, and external data, such as interest rates, and customer data such as accounts or accounts payable/receivable - bringing all this together to the right new business, at the right, within acceptable levels of risk. While this is a simple example, you can take this concept to more valuable and complex levels. For instance, making automatic trades based upon 100+ different data flows coming from internal and external systems.
In a hybrid enterprise, vital data needed by organizations frequently is found not only outside the enterprise firewall but outside the enterprise entirely. Businesses are pressed to recognize the value that can come from integrating data from a variety of sources.
One of the biggest barriers to effective cloud adoption is integrating, synchronizing, and relating data, applications, and business processes among cloud and on-premises systems. The added complexity of hybrid makes it difficult to effectively share and use business data across the organization.
Legacy iPaaS platforms alone are no longer sufficient to tackle enterprise cloud data management. Instead, a data-centric approach allows you to define, model and manage the data you care about - something that is unique to the Cloud Elements API Integration Platform.
Cloud Elements' API-based architecture delivers common features - such as authentication, workflow creation (formulas), data management (common resources), search, and error handling that look the same, but also operate exactly the same wherever they are invoked across the cloud. This user experience dramatically reduces the learning curve for new tools and drives self-service for business users.
Take our API Integration Platform for a test drive with a free trial.
Published at DZone with permission of Ross Garrett , DZone MVB. See the original article here.
Opinions expressed by DZone contributors are their own.