Alternative data leverages non-traditional datasets to give investment professionals additional information/intelligence for financial investments.

Historically, a portfolio investor would analyse traditional datasets directly from the companies they invest in, i.e. presentations, stock marking filings and press releases but recent access to non-traditional datasets such as website use, social media, card payments and press articles has opened up opportunities to a new wealth of information that can provide additional intelligence to help inform investment decisions.

Access to relevant, alternative datasets offering potential for innovative alpha generation.

Up until recently the usage of alternative data has been confined mainly to the realm of quantitative investment manager. However, alternative data is beginning to go mainstream with increasing interest from fundamental and hybrid asset managers.

Going forward, all industries will become more data driven and companies of all types will need to achieve much more granular and data-driven understanding of the drivers of supply and demand underpinning their business.

S&P Global is one of the largest data firms in the world. Our data scientists, financial experts and industry specialists leverage 1,500+ traditional and non-traditional datasets to help provide unique and timely insights for potential investment decisions.

Yes you can instantly search, browse and evaluate 1,500+ datasets in the Data Lake Catalogue. Get free access here.