{"id":54278,"date":"2021-01-14T06:18:08","date_gmt":"2021-01-14T14:18:08","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/industry\/microsoft-in-business\/?p=54278"},"modified":"2022-04-12T08:34:07","modified_gmt":"2022-04-12T15:34:07","slug":"corporate-performance-improvement-aligns-with-esg-metric-tracking","status":"publish","type":"post","link":"https:\/\/newed.any0.dpdns.org\/en-us\/industry\/microsoft-in-business\/sustainability\/2021\/01\/14\/corporate-performance-improvement-aligns-with-esg-metric-tracking\/","title":{"rendered":"Corporate performance improvement aligns with ESG metric tracking"},"content":{"rendered":"

\"WomanMore and more, businesses are recognizing that incorporating Environmental, Social, and Corporate Governance, or ESG, into their products and services directly correlates to financial results. Doing good is no longer at the expense of doing well. For both stakeholders and customers, ESG represents another point in their decision making. As allocators of capital, financial services firms play a critical role in shaping a more sustainable and equitable\u00a0future.<\/p>\n

For all the volatility in 2020, one bright spot was that financial services firms have further embraced ESG as a revenue opportunity with regulatory importance. Per an FT.com report<\/a>, ESG exchange-traded funds, or ETFs, doubled globally in 2020 to over $120B. Similarly, investment banks are helping companies issue green bonds at a record pace. ESG represents significant business opportunities across the Buy-side and\u00a0Sell-side.<\/p>\n

Looking Good versus Doing\u00a0Good<\/h2>\n

Quantifying and verifying performance around ESG metrics is difficult and requires AI and ML to spot trends, help determine materiality, and uncover value. Therefore, the foundational building block of ESG starts with data\u00a0engineering.<\/p>\n

I had the opportunity to discuss this in more detail with Junta Nakai, Global Industry Leader of Financial Services and Sustainability at Databricks<\/a>. Databricks is a data engineering, science, and analytics company and a partner of Microsoft. As Nakai put it, \u201cEighty percent of the data used for ESG is non-numeric. It\u2019s unstructured data\u00a0\u2014 text, images, IoT, streaming, and other complex datasets. To compound that, there are no standards for this\u00a0data.\u201d<\/p>\n

The lack of standards is certainly worth examining. Today, there are no enforced standards or accountability when it comes to ESG disclosures. It is incumbent upon a company to figure out what, how, and when to report their ESG goals and metrics. Once that is done, the banker, analyst, or investor needs to make sense of what\u2019s been reported. As a result, both financial services firms and the corporates they work with or invest in have a blind spot when it comes to ESG\u00a0analysis.<\/p>\n

When quantifying ESG, financial services firms suffer from data quality and availability issues. The primary source of ESG data today typically comes from self-disclosed annual sustainability or quarterly data vendors\u2019 reports and rankings. This means ESG data isn\u2019t the same as the real-time and reliable market data that powers the rest of capital\u00a0markets.<\/p>\n

Many of these complications can lead to something called \u201cgreen-washing,\u201d where a company does report out on an ESG metric, but largely through marketing spin, rather than with tangible results or progress. For firms to successfully incorporate ESG into their products and services, data and AI must play a central role in collecting, verifying, and analyzing ESG\u00a0performance.<\/p>\n

In other words, ESG is best addressed today as a data and AI\u00a0challenge.<\/p>\n

Accelerating ESG solutions<\/h2>\n

You can\u2019t solve a modern data problem like ESG with legacy, on-premises technologies. It requires managing large, unstructured data sets that include things like social media, satellite imagery, and product reviews. You need the cloud to scale, conduct analysis, and draw insights from these vast\u00a0datasets.<\/p>\n

To help address this challenge, Microsoft has been partnering with Databricks. Working together on a common set of principles, we have created Solutions Accelerators<\/a> to jumpstart a firm\u2019s analytics\u00a0capabilities.<\/p>\n

These Solutions Accelerators are meant to help a firm drive impactful messaging around ESG, productize sustainability, and take a more data-driven analytical approach to understanding ESG performance across their\u00a0portfolio.<\/p>\n

For example, an asset manager can use a Natural Language Processing (NLP) notebook<\/a> to analyze text from disclosures, helping to solve the problem of analysis against non-numeric data. The NLP can sort through the marketing language and self-disclosures against newsfeeds to bridge the gap between what a corporate is saying and what it is doing, reducing the amount of \u201cgreen-washing\u201d taking place. This notebook takes ESG further by tying sustainability back to core functions like risk\u00a0management.<\/p>\n

\u201cTogether with Microsoft, we can offer a novel approach to sustainable investing by combining natural language processing (NLP) techniques and graph analytics to extract key strategic ESG initiatives and analyze their impact to market risk calculations.\u201d says Antoine Amend<\/a>, Technical Director of Financial Services at\u00a0Databricks.<\/p>\n

By leveraging these Solutions Accelerators, the firm can operationalize ESG analysis into the products that they\u00a0offer.<\/p>\n

From digital to sustainable\u00a0transformation<\/h2>\n

Over the next few years, Nakai believes that digital transformation will give way to sustainable transformation, and I agree. As I\u2019ve previously written, capital markets firms have a unique two-sided perspective on ESG<\/a> that can help transform the world. Long-term thinking past the next quarter or annual report is critical to understanding a business\u2019s resilience, and ESG plays an important role in that\u00a0analysis.<\/p>\n

The analysis that capital markets firms do will cut the wheat from the chaff. As investors become more ESG-savvy, they will ask questions around a firm\u2019s own ESG stance. Just as customers come to Microsoft\u2019s cloud because of our own sustainability efforts, investors will look towards financial services firms and ask, \u201cIf I\u2019m going to be investing in ESG, what is your own stance?\u201d The answer will come in the\u00a0data.<\/p>\n","protected":false},"excerpt":{"rendered":"

More and more, businesses are recognizing that incorporating Environmental, Social, and Corporate Governance, or ESG, into their products and services directly correlates to financial results. Doing good is no longer at the expense of doing well. 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