Investment and trading firms acquire data from traditional sources such as financial data vendors, financial intermediaries, or directly from counterparties. Firms are limited in their time to value by the necessity of aggregating data sources via multiple proprietary channels and stymied in workflow automation by captive environments.
Goals and Objectives
Alleviate data discovery, accessibility, and integration challenges with cloud-centric data marketplaces where data consumers are empowered to automate their analytical workloads using quality inputs. Unstructured and nontraditional data providers can leverage data marketplaces to find the widest possible audience for their product and in doing so determine appropriate pricing.
Cloud, Big Data, analytics, artificial intelligence, and machine learning
Use Case Summary
Data marketplaces empower the capital markets to obtain, augment, or enrich data from a wide universe of vendor sources. Modern data marketplaces help minimize extract, transform, and load processes and lower the overall cost of advanced data management.