Quandl 2020 Alternative Data Conference

2 min read

Alternative data conferences connect actors in the buy-side ecosystem to explore novel use cases as the demand for alternative data is increasingly intense.  Only the largest and most sophisticated players with distinctly unique roles can leverage their critical edge.  Increasing demands on data remains a challenge that only few can solve.   With annual purchases of alternative data by U.S.-based buy-side firms projected to reach $900 million by 2021, the competition to find, extract, refine, package, and ultimately sell alternative data is immense.  Quandl, a subsidiary of NASDAQ, is the largest alternative data provider for financial professionals transforming the investment…...

This article is free to read

Login to read the full article


OR
Peter Went Peter Went, PhD, CFA, provides strategic, data-science driven advice to asset owners and financial data and service providers. He has formulated trading strategies for FX, equities, and commodities, managed services that provide regulatory capital relief for OTC FX derivatives. He led complex, multi-year strategic projects by partnering with central banks, regulators, financial infrastructures, and large international financial institutions. Peter earned a Ph.D. from the University of Nebraska, is a civilekonom from the Stockholm School of Economics, and is a CFA charterholder. He lectures at Columbia University and explores the boundaries of statistical machine learning in finance and investments. Peter has authored 5 books on financial risk management and wrote several articles on risk-based financial regulation and quantitative analysis. He speaks regularly on using data science uses cases to improve decision making in finance.