Rapid technological advances combined with the an explosion of data has created more opportunity for corporations than ever before. Today’s data revolution has resulted in companies seeking skilled data scientists and analysts to capitalize on all this data for predictive analytics, workflow automation and to uncover an edge. However, according to a recent study by 451 Research, 54% of a data scientist’s time is spent simply finding and preparing data for analysis* — creating a demand for technologies to reduce the time taken to generate insights.
To help you improve your data science workflows, S&P Global has partnered with leading technology firms Snowflake and Databricks to enable easier access to data and creation of advanced analytics. Additionally, in partnership with Kensho, the artificial intelligence and machine learning arm of S&P Global, solutions have been built to help alleviate pain points that many data professionals face today. In this webinar, our experts will discuss how these technologies, when combined with quality data, can help you enable data science at your organization by:
- Leveraging the S&P Global Marketplace and Marketplace Workbench to remove the burden associated with sourcing, evaluating, and trialing data to enhance your workflows
- Directly integrating S&P Global data, along with curated third-party alternative data, into your database, dashboards, and workflows with direct connection to 100+ third-party vendors, such as Tableau and Alteryx, via Snowflake’s Cloud Data Platform
- Utilizing the latest advancements in machine learning to link, query and transcribe across all your data for comprehensive, timely, and actionable insights to make decisions with conviction