In addition, the data science team provided example data visualization reports that illustrated new possibilities for both firms, taking them down paths that they hadn’t previously considered.Firm A avoided making a major investment during its trial, and was able to put its quantitative investment ideas to the test without incurring the risk of permanent costs that might not be ultimately necessary. This presented a chicken-and-the-egg conundrum, as analysts were unable to make a convincing argument without the necessary infrastructure.Firm B is one of the world’s largest asset managers, with over $1 trillion in assets. A solution such as Data Exploration … Azure’s scale and expertise lets us offer the larger data stage the financial industry has been waiting for.”Over time, FactSet Data Exploration will grow into a full data research environment and will be updated to include content as it becomes available on the Open:FactSet Marketplace.
Data Delivery & Distribution; Data Governance; Data Innovation (Machine Learning, AI & Blockchain) Data Lineage (KH) Data Quality; Data Science & Analytics; Data Strategy; EDM Platforms; Entity Data, KYC and Client Onboarding With the help of FactSet’s data science team and the sample reports and scripts provided, the firm discovered value in a completely different dataset than the one it had been considering.TWO UNIQUE ASSET MANAGEMENT FIRMS TRIAL INVESTMENT IDEAS WITH FACTSET’S MICROSOFT AZURE-HOSTED DATAFactSet, plus the scalability and compute power of the Microsoft Cloud, are enabling firms of all sizes to drive cost savings, reduce time to market, and improve returns with differentiated models and alternative data. Firm B wanted to trial a single FactSet Standard DataFeed, without taking money from elsewhere in its budget for a temporary need. We are considering tools like AzureML and DataBricks.
Each environment included only the hardware each firm required, alongside premiere software and data. Over time, FactSet Data Exploration will grow into a full data research environment and will be updated to include content as it becomes available on the Open:FactSet Marketplace. “Working with Microsoft and their leading Azure platform gives us the ability to remove this challenge while also providing our clients with the capacity they need to build their own investment applications. NORWALK, Conn., July 24, 2018 (GLOBE NEWSWIRE) -- FactSet Data Exploration on Microsoft Azure will provide customers with complete and immediate data access, reducing the need to invest in costly IT implementation and infrastructure to test data.
FactSet Data Exploration on Microsoft Azure will provide customers with complete and immediate data access, reducing the need to invest in costly IT implementation and infrastructure to test data. Our engineering team is evaluating various tools to support expanded machine learning capabilities inside of our DataExploration environment. Further, FactSet’s data science team was able to assist both firms in their initial navigation of the varied datasets with sample SQL queries and Python scripts. What would you like to see added to the environment? International Headquarters
It will offer content from the Open:FactSet Marketplace alongside programming tools, including Microsoft SQL, RStudio, and Python, in a single location. FactSet Data Exploration combines the power of the Microsoft Azure cloud with the content of the Open:FactSet Marketplace, offering a streamlined way to explore and evaluate new ideas. Data Exploration is a tool FactSet developed initially with the idea of providing an isolated SQL Server instance for potential clients to trial the myriad of Data Feeds that FactSet has to offer, whether that be our data or our third party providers’. This will allow investment professionals to begin analyzing new datasets and derive value more quickly, increasing data usage and availability across the industry.
Instantly interact with data from the Marketplace in a fully hosted environment that includes industry-standard databases, programming languages (Python and R), and data visualization tools. The firm was able to commence trialing the dataset it was interested in after only a few hours—a previously unthinkable outcome, given the weeks-to-months timeline the team had experienced in the past when introducing infrastructure to support new environments. FactSet Launches New Cloud-Based Data Platform on Microsoft Azure Open:FactSet | 1,393 followers on LinkedIn | Smarter Data, Connected | Expand your insights with the Open:FactSet Marketplace and FactSet Data Exploration, and get best-in-class data and solutions to give you an edge. Using a patented algorithm that aggregates and harmonizes disparate data from over 650+ ESG sources, CSRHub generates a consensus score for the ESG performance of more than 18,000+ companies from CSRHub co-founders Cynthia Figge CEO and Bahar Gidwani CTO gave a webcast presentation Integrating ESG Consensus Ratings to Create Actionable Signals Business Intelligence provides access to the world’s largest corporate social responsibility and sustainability ratings and information. By aggregating and normalizing the information from over 650+ data sources, CSRHub has created a broad, consistent rating system and a searchable database that links millions of rating elements back to their source.