7 B2B Integration Overheads that Need to be Seriously Considered
Custom coding integration solutions hide huge expenses and organizations must consider them seriously before investing them. Moreover, they don’t address integration needs for aligning transformational and old technologies. Integrating new and old technologies with an archaic approach involves staffing cost of java developers and data warehouse experts and systems for getting a uniformed data access at multiple points. Here are some leading cost overheads associated with archaic custom coding:
- The Cost of Hiring Technical Expertise: Custom coding presupposes expertise and teamwork and the resources required for designing workflows are very expensive. A lot of cost goes into hiring resources for partner data exchange and customer on-boarding. Also, building teams from the scratch involves a lot of headhunting and recruitment cost.
- Delayed Deployments: Complex coding to integrate data delays deployments by months and heavily impacts the finances of the company. The cost for deploying processes increases as and when they are delayed. Each delayed hour in deployment can also delay the time to revenue.
- Lack of Technical Know-How: Expertise is vital to confront error-handling situations in integration scenarios. Lack of expertise can be a costly mistake in the long run. The conventional Enterprise State Bus (ESB) slogs when it gets struck in a rut.
- Maintenance and Support Cost: Maintenance, support and change management cost in custom coding is hard to predict and continue to impact the core operations. The maintenance and support cost increases further when separate architecture is required for preparing data lakes and data warehouse.
- Freeware Overheads: Freeware is not always free and there are perils associated with it. Security issues, bugs, and errors can further increase the integration cost. Security breach, or data loss because of freeware can make organizations liable for liquidated damages.
- Missing features: The data integration solution you are referring might quote less but you might be paying separately for important features, i.e. support, maintenance, etc. The solution should have comprehensive features for end-to-end integration. A modern tool should ensure the following features for :
- Uniform data access across operational applications
- Controls for intelligibly orchestrating data into Date lakes
- B2B integration features aligned with data integration
- Continuous support for all data models
- Data Transformation: With back-end, legacy systems it is difficult to transform data into different formats and sources. Additional tools to support Data Transformation operations further increase the cost to a dramatic extent. Organizations establish multiple sources of truth and islands of automation if the data integration tool is not bridging the gap between new and old technologies.
A B2B integration platform should not be understood only as a data aggregation platform. It should provide a combination of controls to provide a 360 degree view of data in a complex IT environment and confront hybrid integration challenges. Modern B2B solution should pack simple yet powerful controls to enable business users in defining workflows for application integration, process management, and trading partner management.