Category Archives: Data Integration

Integration Solution Must-Haves: Model-Driven Approach

This blog post is part of an ongoing series encompassing the top must-haves when selecting an integrated solution.

In today’s 24/7 business world, budgets are tight and deadlines pressing as an increasing bounty of requests find their way into IT managers’ inboxes day in and day out. Integration projects are included, requiring agile methodologies be put in place to achieve efficiency and cost effectiveness. While many of today’s integration applications are rich in functionality, this also seems to be their basic limitation as solutions are often difficult to learn and use.

However, with the proper training, leveraging these tools and techniques, such as a model-driven approach, will vastly improve your user experience.

Utilizing a model-driven approach allows your team to build object-based frameworks that can be modeled and reused as much as needed. The object model contains the rules that drive instructions and invocations during run time. Once built, they are tagged and stored in searchable libraries for later use. It’s important to note that object libraries may come pre-populated with standard or commonly used objects developed by the vendor based on industry best practices, or by other customers.

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Integration Solution Must-Haves: Any-to-Any Integration

This blog post is part one of a series encompassing the top ten must-haves when selecting an integration solution.

For many organizations, integration capabilities have become mission-critical. They have also increased in complexity. It is now more difficult than ever for companies to produce the right data, in the proper format and at the right time when making key decisions. The result is data integrity and confidentiality risk. More importantly, you risk losing business, as external and internal consumers of data will quickly lose trust and walk away.

With the multitude of niche integration solutions now available, companies must navigate a complex and costly environment, often times incredibly difficult to manage. These point solutions bear inherent risks of inaccuracy and inconsistency, as each solution has in place different procedures and best practices.

With this in mind, organizations have begun consolidating their solutions to simplify their environment while addressing newer requirements. This has resulted in the adoption of singular, comprehensive solutions that can seamlessly perform any-to-any integration.

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The Real Impact Data Transformation Has on Your Business

We all know that companies need data integration in order to drive their business. However with each new integration, companies are seeing an increase in the number of data formats required to support the business. When IT cannot support a data format, it risks becoming a roadblock to multiple business processes. The key to unlocking these roadblocks is through data transformation.

The benefits of data transformation extend throughout the entire business – from complying to new customer data requirements, to connecting internal disparate systems that need to share data in order to drive business operations. Many companies that utilize data transformation are manually building and customizing them with each new trading partner request, or new application implementation. With so many custom-coded processes built over time, the risk of errors increase due to poor maintenance, changing requirements, or lack of visibility. If even one data transformation process fails, it could cause a ripple-effect that slows down other business processes. As a result, Programmers will have to take time to troubleshoot the problem, then most likely add more customization to fix it.


We’ve identified some key benefits data transformation has on your business, then reviewed possible risks associated with custom-coding. Now let’s take a look at how the EXTOL Business Integrator (EBI) handles data transformation without the risk.

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