![]() Data integration isĪ critical component of an overall enterprise information management (EIM) strategy that can address these data-oriented issues. To achieve transparency, and transparency requires a consistent and complete view of the data, which represents the performance and operation of the business. A graphical competitive positioning of Leaders, Visionaires, Niche Players and Challengers for Data Integration Tools, 2006. Gartners Magic Quadrant for Data Integration Tools, 2006. ![]() Simplification of processes and the IT infrastructure are necessary Discrete markets for special-purpose data integration tools have converged into one single market, supporting multiple modes of delivery. Business drivers, such as the imperative for speed to marketĪnd agility to change business processes and models, are forcing organizations to manage their data assets differently. 2022 Gartner ® Magic Quadrant for Data Integration Tools. As such,ĭata integration capabilities are at the heart of the information-centric infrastructure and will power the frictionless sharing of data across all organizational and system boundaries.Ĭontemporary pressures are leading to an increased investment in data integration in all industries and geographic regions. Spectrum of data subject areas and data structure types in the enterprise, to meet the data consumption requirements of all applications and business processes. The discipline of data integration comprises the practices, architectural techniques and tools for achieving consistent access to, and delivery of, data across the
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