Welcome to Impact Insize, the podcast series of Astaire Investment Managers.

The financial industry is into both big data and impact investing.

The enormous volume of big data created every day and associated innovations in analytics are revolutionizing

effectiveness and measurement of impact. Tris Corneill Investment analyst at Astoria explains

how is big data technology used in impact investing. Big data technology is already commonly used to create data-driven investment models

that evaluate public companies on the basis of fundamentally or economically motivated

investment teams. Company-specific data, such as financial statements, returns, trading volumes, internet

web traffic, patent filings, they're all used commonly to guide investments, but impact

investing takes this one step further and uses data to measure exactly how much environmental

and social impact companies are having.

Examples of such data include business line revenues,

the energy generation mix, the value chain of products and services,

or alternatively textual data such as news and research articles, or patent filings.

Big data allows to scale up the analytics to a global universe and compare companies in an unbiased and objective manner.

Including impact information in the investment process helps to strike a balance between purpose and profits

and enables to better understand how companies can most effectively work towards social and environmental goals.

Building a deeper understanding about the structure of returns and the way investments are having an impact is crucial to the future of impact investing.

Having unbiased data and broad coverage is essential, and if this keeps improving, as it currently does,

it is likely that data-driven impact investing will become more mainstream.

Thank you, everyone, for listening to this podcast. Please feel free to contact us if you have

suggestions for further questions. If you enjoyed this podcast. Please feel free to contact us if you have suggestions for further questions.

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