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K2View is a platform used for managing and integrating large-scale data from multiple sources, enabling real-time access to unified data and streamlining data processes to improve decision-making.
K2View effectively builds efficient data fabric, creating detailed data views and reducing latency in data retrieval. It ensures seamless operations in business functions by managing and integrating large datasets from various sources. Its capabilities in data virtualization, real-time data access, and seamless data integration are highly regarded. Users value its flexibility, ease of deployment, and robust performance in data management and security. However, they seek improvements in documentation, more detailed implementation examples, better training resources for new users, and enhanced performance optimization and customer support.
What are the most important features of K2View?K2View is implemented across multiple industries, supporting finance, healthcare, telecom, and retail sectors in their data management needs. It handles complex data integrations, providing real-time access to comprehensive data views, thus transforming operations through improved data processes and streamlined decision-making.
Processes that action master and application data can take an unnecessarily long time to complete when manually orchestrated by humans or paper — delaying the availability of the most up-to-date data. The quality of this data is usually poor because humans often make inadvertent mistakes during data entry. And because it is maintained across many disparate and disconnected business systems, it is difficult to tap into this data through analytics, machine learning, and report generation technologies.
Master Data Management solutions from Syniti orchestrate processes that enforce the entry of the highest quality master and application data into business systems. They ensure that the right people correctly action the right master and application data at the right time. And they create a single point of reference to master and application data from multiple domains and business systems.
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