E Application Integration
In a climate of rapid change, it is often easy to lose site of organizational goals and become entangled in the overwhelming issues involved with the implementation of new technologies. To keep up with the fast pace of business and escalating customer demands, organizations must have the agility to respond quickly to change. However, doing so requires an enterprise architecture that allows information to flow seamlessly between departments and across geographies. That's easier said than done in most companies, where information "silos" caused by legacy applications and a diverse IT architecture prevent smooth information flow Integration of computer systems, database management tools, and network configurations, along with a host of other issues, require significant investments of time and expertise, which are typically unavailable during an initial implementation.
Enterprise application integration projects can be extremely challenging. Some of the current challenges that IT organizations encounter are:
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N extGenVision eAI consultants have proven advanced technologies and Web services standards knowledge to transform, connect and streamline business processes, systems and information that can help organization to achieve high performance. NextGenVision consultants understand design considerations for a flexible, strong foundation using prior industry experience with integration strategies and maximize value from implementations.
NextGenVision consultants follow the industry standard eAI methodology that speeds up application integration, minimizes custom development and significantly reduces IT development and maintenance costs. NextGenVision helps companies understand the ROI and the impact of well-designed eAI architecture
- Lack of mandate and processes for corporate ownership of the EAI infrastructure with authority to enforce and implement EAI processes.
- High total cost of ownership due to point solutions and minimal resuse.
- Lack of enterprise focus on EAI architecture, standards and processes leading to sub-optimal solutions, which are difficult to manage.
- Point-to-point, data driven or application driven interfaces leading to inefficiency in end-to-end business processes.
- Inadequate governance model to support EAI initiatives.