If you're looking for a broad data and analytics platform to help you sustain growth in the financial services industry, LSEG Data & Analytics is a strong contender. The platform combines global market data, AI-powered analytics and workflow-orchestrating tools into a cloud-based system built on Microsoft's technology. It also offers direct access to Reuters news and can accommodate different roles, including wealth advisors and investment bankers, with different tools to automate tasks and improve productivity.
Another strong contender is Teradata, which offers a versatile data and analytics platform that integrates data across an enterprise. Its flagship product, ClearScape Analytics, delivers insights and a unified view of data more quickly. Teradata can handle a variety of workloads, including AI/ML, and can be deployed on public cloud, hybrid cloud or on-premises systems, so it should be adaptable to the needs of financial services companies trying to become more data-driven.
Cloudera offers a hybrid data platform that securely ingests, processes and analyzes data in cloud and on-premises systems. It can combine enormous amounts of data from many sources into a single trusted system, and it can be used for real-time insights and AI model training. Cloudera's technology is used in many industries, including financial services, to modernize operations and make better decisions.
For a self-service analytics tool that lets people ask questions in natural language and get AI-powered answers, ThoughtSpot is a good option. It lets people explore, analyze and share insights in their own data, making business decisions more informed and more efficient. The tool is good for a variety of use cases, including data-driven decision-making and analytics modernization, in many industries, including finance.