We welcome special guest Mark Ainsworth from Schroders to talk about big data.
We discuss:
What is big data?
What are its applications to investing? There is a dust trail we all leave when browsing websites online.
Fund managers are natural “weighers” of lots of different data points. It is natural to work in terms of confidence levels.
The key is to master where data is useful and where it isn’t. Sometimes the trend is useful, but the level isn’t. You can’t wait until its perfect and solid as speed vs solidity trade off is at work in the investment industry.
There is so much you can do with data that is clever but not useful.
So the first question you have to ask is – is it useful? Is it something that can be acted on, and does it already exist or not?
Focus on answering questions. Make it easy as possible to log questions – the questions themselves tell you something interesting.
The act of trying to answer a question is interesting – often the data is too biased, too messy or too partial. So it doesn’t work.
Focus on insights – an insight is something that changes your understanding of the world. Core to this is what the existing knowledge/understanding is.
Data Insights is NOT quant investing.
Data insights is about filling blindspots. Things you don’t know are missing, but if you were to fill it in you see things you wouldn’t otherwise see. That can be a competitive advantage in asset management.
One thing to take away
The value of data comes from the insights – it’s about connecting data with people making real decisions. It’s a team sport to find the insights.