- The organization has informal data integration processes.
- The organization’s current integrations are a series of hand-coded, point-to-point integrations with little consistency on the tool or approach used.
- Multiple integration tools and approaches can be costly in terms of licensing, skill development, maintenance, and long project timelines, but it is difficult to justify the cost of a data integration tool.
- The speed of business and associated demand for data to support decision making is increasing, overwhelming IT’s ability to service requests for data transformation and blending.
Our Advice
Critical Insight
- Understand your business’ data needs of tomorrow, not just its data needs of today. Having discussions with business users about their plans and aspirations for data usage helps to make a better informed decision for your data integration solution.
- The line between data integration tools and data management platforms is blurring. Review your needs in detail to determine if a separate data integration platform is needed, or if your use cases can be supported by features offered in a data management solution.
- Cloud connectivity and cloud-based data integration tools are becoming more prominent and provide flexibility, but ensure that the tool aligns with your data architecture and data security requirements.
Impact and Result
- Understand the overarching trends in the data integration market, as well as the most popular use cases for today’s data integration tools.
- Evaluate a variety of data integration tools that can satisfy small to large-size enterprise needs.
- Make a rational and informed vendor selection for a data integration solution and dramatically improve the organization’s integration process.