Develop an Application Integration Strategy
Level the table before assembling the application integration puzzle or risk losing pieces.
- Even though organizations are now planning for Application Integration (AI) in their projects, very few have developed a holistic approach to their integration problems resulting in each project deploying different tactical solutions.
- Point-to-point and ad hoc integration solutions won’t cut it anymore: the Cloud, big data, mobile, social, and new regulations require more sophisticated integration tooling.
- Loosely defined AI strategies result in point solutions, overlaps in technology capabilities, and increased maintenance costs; the correlation between business drivers and technical solutions is lost.
Our Advice
Critical Insight
- Involving the business in strategy development will keep them engaged and align business drivers with technical initiatives.
- An architectural approach to AI strategy is critical to making appropriate technology decisions and promoting consistency across AI solutions through the use of common patterns.
- Get control of your AI environment with an appropriate architecture, including policies and procedures, before end users start adding bring-your-own-integration (BYOI) capabilities to the office.
Impact and Result
- Engage in a formal AI strategy and involve the business when aligning business goals with AI value; each double the AI success rate.
- Benefits from a formal AI strategy largely depend on how gaps will be filled.
- Create an Integration Center of Competency for maintaining architectural standards and guidelines.
- AI strategies are continuously updated as new business drivers emerge from changing business environments and/or essential technologies.
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