Enterprise Data Services for Improved Business Automation
The Thomson Reuters Enterprise Platform for Data Management is a flexible and extensible data management environment that delivers enterprise data services for improved business automation. The platform unifies the acquisition, storage and distribution of enterprise information assets for the securities and investment industry including reference and pricing data.
Why choose Thomson Reuters Enterprise Platform for Data Management?
- Acquisition, validation and normalization – The platform acquires, validates and normalizes data from a range of information sources. It includes a configurable adapter and feed handler framework for the rapid development of custom application and vendor feed interfaces.
- Data quality management – Cleansed master records (golden copies) can be derived from the data universe. One or more golden copies can be created for specific business domains based on user-defined rules such as vendor hierarchies and price tolerances.
- Event and exception management – A data orchestration module invokes best practice to respond to data operations and business critical events such as data validation and cleansing exceptions. Worlflow tools manage exception such a price tolerance breaches, allowing users to enter a price manually.
- Reporting and metrics – These are easily generated by the platform to enhance business decision making and verify data quality. A full audit of all user defined configuration is maintained.
- Distribution and orchestration – The platform delivers robust, secure, extensible and scalable architecture. The high performance data integration engine allows data to be enriched, routed and transformed so that it can be consumed by downstream applications
- Canonical data model – A canonical data model ensures consistent interpretation of data across the enterprise.
- Data types and asset classes – The platform provides access to a broad array of data types and asset classes. It can also be easily extended to support new asset classes or other data types such as entities and transactions.
- Centralized, federated, distributed – All sources of data are consolidated in order to create the normalized data universe. The browser based user interface allows federated user groups to manage golden copies, improving data quality across the enterprise.
- Deployment scenarios – The platform can be deployed on-site, as a hosted or a fully managed service. Extensibility of the platform ensures that it is able to support incremental deployments that deliver immediate return on investment and contribute to durable business transformation.
- Interoperability – The platform is non-invasive and interoperable with existing infrastructure through the support of industry leading integration technologies including SOAP Web Services, IBM MQ Series, Java Messaging Service, HTTPS and FTP. This flexibility enable the platform to support migration strategies that minimize the impact to downstream applications and business processes.
- Reduce costs – The platform automates data operations and efficiently manages exceptions in order to reduce costs associated with data duplicity, manual validation and maintenance.
- Deliver adaptable business solutions – The platform is able to respond to current, emerging and future business needs by empowering critical downstream processes using flexible data services that can be rapidly deployed and easily maintained.
- High performance – A solution for managing and processing large volumes of information in a time-critical window whilst integration with existing IT environments, including third-party or proprietary applications and systems.
- Extensibility – Your business users and application are able to share accurate, consistent and timely data assets regardless of source.
- Improve data quality – The platform provides rule based cleansing and enrichment capabilities for improving the quality of data assets to mission critical downstream applications and business processes.
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