Webinar with Hinesh Kalian, Director of Data Science at Man Group
Hinesh Kalian is the Director of Data Science at Man Group. Man Group manages around $123 billion worth of assets and is a FTSE 250 company.
Hinesh Kalian is the Director of Data Science at Man Group. Man Group manages around $123 billion worth of assets and is a FTSE 250 company.
This article summarizes expert responses to the question: "What are the various techniques for measuring ROI on alternative data?”
Applying a systematic approach to PE is about triangulation not optimization. It starts with embracing big data and accepting new analytic approaches. Most alt data is applied at the due diligence stage, particularly for revenue and valuation estimates.
The report prepared by SS&C and AIMA discusses how widely adopted alternative data is within the hedge fund industry, the main alternative data uses, the opportunities and challenges that these data sets present.
The purpose of this report is to provide buyside funds, private equity firms, corporates, government agencies, and central banks with examples of how alternative data can be leveraged for timely insights.
Key takeaways from panel discussions during Eagle Alpha's Virtual Data Conference hosted in May 2020.
According to Eagle Alpha's framework for dataset pricing, the main factors to consider include data format, relevant coverage, predictiveness, uniqueness, list price vs. actual price.
The panel discussion led by Elizabeth Pritchard, Founder and CEO at White Rock Data Solutions, focused on optimisation of the onboarding process.
The panel discussion led by Matei Zatreanu, Founder of System 2, focused on outsourcing considerations.
Evan Schnidman, Founder of EAS Innovation Consulting, discussed engineering challenges of working with alternative data, team building considerations, new data sources, and latest trends.
This panel during Eagle Alpha's Virtual Data Conference 2020 discussed innovation and broader IT spending.
We prepared this paper to shed some light on the new data landscape: how does alternative data differ from more traditional data? Who uses it? What are its benefits? What should we be mindful of? In short: what is the data on data?