If I told you that I had a crystal ball and could predict the future, you’d probably laugh in my face. But what if I told you that this crystal ball could give you seemingly invisible data indicating what the future is likely to be, helping you make better investment decisions? Did your ears perk up? I bet they did.

Alternative data, specifically natural language processing (NLP)-generated alternative data, is like a crystal ball. It can help portfolio managers, analysts, and public equity investment managers make better decisions by identifying controversies about a company or potential investment before mainstream data providers and ESG rating firms can. That means you can take data-informed actions before a possible change in your investment value occurs.

That was a lot, so before we go further, let’s cover a quick basic as a refresher.

What is alternative data?

Alternative data is non-traditional information extracted from non-traditional data sources, such as internet social media communities and deeper-level article data. This subset of big data is often nonfinancial and unstructured.

Why use alternative data for finance?

In financial services, alternative data sets give investors insight into the investment process and guide their investment strategies. For example, quant hedge fund managers, asset managers, and private equity firms use alternative data to augment conventional data like those that come from quarterly financial statements and SEC filings. This unconventional data can reveal insights such as metrics on environmental, social, and corporate governance (ESG) information, sentiment analysis, and consumer behavior.

Where does alternative data come from?

Firms, such as data vendors or alternative data providers, find raw data from various sources, depending on the details you need. For instance, they can pull data from transaction data, like credit card transactions, text data from social media platforms and obscure media publishers. They can also extract information from technologies like satellite imagery and geolocation data, IoT sensors, web traffic, app usage, and new data sources yet to exist. All to say, alternative-data sources are found anywhere unconventional, valuable data live.

How does NLP-generated alternative data differ?

NLP-generated alternative data is more than raw data collection and presentation. Instead, it reveals the hard-to-see data and interprets it so you can make better decisions. At SESAMm, for example, we generate alternative data from text using NLP algorithms on a massive, ready-to-use data lake to identify noteworthy trends. Our developers and data scientists then use their machine learning technology to analyze these trends and build investment strategies for our clients.

How can alternative data identify controversies before mainstream providers and ESG rating firms?

There are two main ways alternative data identifies controversies before mainstream providers and ESG rating firms:

First, NLP-generated alternative data’s inherent quality is that it can reveal trends that mainstream providers and ESG firms can’t. And because of this quality—the ability to identify and analyze trends—you can use it to see warnings before a major controversy hits the mainstream.

Second, rating providers can be inconsistent and inaccurate, according to Andrew McLaughlin, a contributor to The Globe and Mail. He states that many ESG rating providers, for instance, are “popping up like dandelions,” and “each uses its own methodologies to rank and score publicly traded companies based on their purported environmental, social and governance risk and performance.” Further, “[their] reports produced are at times rife with inaccuracies,” McLaughlin says. While we at SESAMm might not agree with McLaughlin completely, we believe that alternative data helps bridge the gap between possible shortcomings and a more comprehensive view of an investment’s risks and opportunities.

2 NLP-generated alternative data use cases as examples:

Ericsson (ERIC) analysis

Event: On February 16, 2022, Ericsson investigates an in-house bribery scandal tied to ISIS. According to FIERCE Wireless, “investors reacted to reports that Ericsson may have made payments to the ISIS terror organization to gain access to certain transport routes in Iraq.”

Results: Ericsson’s share value dropped by at least 15% that day as news broke and investors reacted. “It was its biggest share drop in a day since July 2017,” per FIERCE Wireless.

What did NLP-generated alternative data see?

In Ericsson’s case, we analyzed three areas from January 2016 to the event on February 16, 2022:

• Name-mention volume
• Sentiment polarity
• ESG Initiatives Score

In Figure 1, we chart our analysis of data volumes, indicating spikes to help detect significant positive or negative events. For instance, the payment scandal similarly affected mention volume as a controversy in 2020. Mentions related to the more recent events continue to increase, making it potentially Ericsson’s most controversial issue so far.

In Figure 2, we analyze Ericsson’s polarity over time. Polarity represents the aggregate of positive and negative sentiment (opinions, reviews) on a company. It can range from -1 to 1. A 0 score means that as much positive as negative sentiment is expressed. High e-reputation brands can have polarity scores over 0.7, based on SESAMm’s research and findings.

Ericsson’s overall polarity sits in the average range for the most part. However, we found that Ericsson’s sentiment suffered significant negative drops caused by controversial news. In other words, the company’s reputation has been affected several times over the years, with the most recent controversies going viral and perceived as very negative.

In Figure 3, SESAMm used the analyzed areas and comparisons to compute an ESG Score based on proprietary ESG initiatives data. The scale ranges from 0 to 1, with zero indicating a low and undesirable value and one having a higher and desirable value. We score Ericsson in the 0.05–0.10 range, which we think is relatively low for this company. Despite Ericsson increasing its ESG initiatives over the past year, recent controversies have affected its score negatively.

Figure 4 charts Ericsson’s ESG risk, which is based on SESAMm’s web data. The range varies from 0 to 1, zero indicating the lowest risk and one as the highest. Ericsson’s score from its latest scandal is a 1. Compared to Ericsson’s stock prices, several spikes in ESG risk anticipated market movements.

Orpea SA (ORP:FP) analysis

Event: On January 24, 2022, Le Monde published an article about the book “Les Fossoyeurs”. According to Le Monde, the book concentrates most of its attacks on Orpéa, a top nursing homes and clinics company, employing “65,000 employees in 1,100 establishments across the planet; 220 nursing homes in France alone.” The book’s author attacks the “Orpea system” and reveals reported elderly abuse and deaths possibly caused by it or negligence.

The media begins to question the limits of ESG rating because of Orpea’s scandal.

Results: Two things occurred after the news broke. One, Orpea’s stock price sustained a 44-point drop. Two, the media begins to question the limits of ESG rating, given Orpea’s rating at the time.

What did NLP-generated alternative data see?

In Orpea’s case, we analyzed three areas from January 2016 to the event on February 16, 2022:

• Name-mention volume
• Sentiment polarity
• ESG Initiatives Score

In Figure 5, we analyzed volumes of data and compared them with significant events detected. Volume spikes detect clear, negative events in Orpea’s case. For instance, on January 24, 2022, the breaking news had the highest effect since 2016. It’s worthy to note that an upward mention trend becomes visible before the scandal emerges, with volumes reaching levels higher than average.

Orpea’s polarity is average, but it shows significant negative sentiment linked to scandals. One of those drops in opinion dates back to 2018 when a documentary highlighted abuses in private retirement homes.

ESG scores, which range from 0 to 1, are relatively low for Orpea on average. Its controversies have strongly affected its scores in 2018 and 2022 in particular. But the trend to see in the chart is that Orpea’s ESG score had been trending downward for several months before Le Monde’s breaking story.

Figure 8 charts Orpea’s ESG risk, which is based on SESAMm’s web data. The range varies from 0 to 1, zero indicating the lowest risk and one as the highest. Ericsson’s score from its latest scandal is a 1. Compared to Orpea’s stock prices, several spikes in ESG risk anticipated market movements. The current controversy, while very viral, represents a risk equivalent to the 2018 revelations.

Summarizing SESAMm’s Ericsson and Orpea findings

NLP-generated alternative data was able to see trends and events that mainstream ESG rating firms didn’t in the Ericsson and Orpea cases. In both cases, SESAMm would’ve flagged controversies in at least three key areas, name-mention volume, sentiment polarity, and ESG Initiatives Score. And these three areas, with additional proprietary analysis from SESAMm, would’ve provided much-needed insight to investors before their respective market-moving events had occurred.

How SESAMm’s NLP-generated alternative data can help you

Whether for fundamental, quantitative, or quantamental investment use cases, to monitor your corporate risks, or to conduct advanced due diligence on private companies for investment opportunities, explore limitless possibilities using SESAMm’s industry-leading data lake. Our data lake consists of nearly 20 billion articles today, and it’s growing by 20% every year.
And if our data lake is our crystal ball, then TextReveal® is what fuels its magic. The data, in conjunction with TextReveal’s NLP algorithms, can reveal alternative data, such as emotion and sentiment data and ESG and risk metrics, on more than 70 million entities like:

• Assets
• Brands
• Product reviews
• C-level people
• And more

And you can easily access valuable alerts and predictive insights—from live daily or historical data—through dashboards, APIs, or flat files delivered in usable formats.
Are you ready to uncover the invisible data about your investments? Request a demo today.

All our best wishes for this new year 2019!

2018 proved to be an eventful year for SESAMm with multiple renowned customers acquired, our A series fundraising campaign, numerous prizes won and milestones reached. Here is a look back at our rewarding year 2018 followed by our next steps for 2019.

Successful market entry in the US and around the world

The rapid growth of the alternative data industry and of SESAMm

As a Fintech company specialized in alternative data for Asset Management, 2018 represented a thrilling year in our industry and 2019 already promises to be even more exciting.

During 2018, after our very first business trip in the United States, our international sales development beyond Europe began accelerating. In just one year, we already signed contracts with multiple clients. These include major hedge funds in the US and a major global trading company managing $100 billion in financial assets and part of the Top 10 in its market. The US market represents a powerful strategic growth driver and we are already preparing to open an office there soon!

SESAMm signed its first contract with a client in Africa: Ipro Investment, renown asset manager established for 25 years specialized in emerging markets. Finally, we also signed a contract with our first Japanese client, Nikko Global Wrap, one of the subsidiaries of Sumitomo Mitsui Asset Management which is a major asset manager in Japan managing JPY 1.7 trillion.

Strengthening and developing our position in Europe

At the European level, SESAMm has also extended its customer portfolio:

• Groupama AM: new major clients and leading French Asset Management players managing €103 billion Asset under Management (AuM);
• Société Générale: leading French bank present all over the world;
• Raiffeisen Bank International: one of the leading banks in Europe with more than 50,000 employees servicing over 16.5 million customers and possessing around 2,400 business outlets;
• GT Patrimoine : the largest consulting and private management firm in the Lorraine area and based in France for 12 years.

In addition, after our 1st successful collaboration, a new contract was signed with Candriam, leading Asset Management firm and members of the New York Life Group, managing more than $112 billion AuM worldwide.

We are very proud to see how much traction we gained in just a year. The growing use and interest in alternative data for the Asset Management industry, both for quantitative and fundamental funds and asset managers, lead us to prepare for new opportunities of growth & business development.

Cutting edge solutions to respond to market needs

Big Data & AI for Cryptocurrencies

Our first cryptocurrency project began in early 2018. Initially, we started tracking the evolution of the most popular cryptocurrencies, such as Bitcoin (BTC) and Ethereum (ETH) and we analyzed their social data to produce social sentiment & emotions indicators. These indicators have since been integrated into our visualization platform of market sentiment, L’Humeur des Marchés.

This led us to establish a unique partnership based on L’Humeur des Marchés with NapoleonX, a major player as the leading French cryptocurrency manager: the first sentiment and emotion cryptocurrencies analysis destined for the general public. Since then, ETH and BTC sentiment, emotions & opinion value from SESAMm has been available to individual investors and the general public on NapoleonX platform.

The evolution of L’Humeur des Marchés

Our platform L’Humeur des Marchés is an essential tool to guide companies in their investments. During 2018, multiple improvements were added into L’Humeur des Marchés to further enhance its insights & analytics. For example, users have now the possibility to build automated strategies which can generate daily trading signals. Multiple new features were also added such as a strategic backtesting system, daily alerts with 3 years of history and day+1 signal to forecast market movements giving asset managers an edge over competitors.

"L'humeur des marchés" is SESAMm's data visualization platform to analyze market sentiment & emotion for asset management

L’Humeur des Marchés, our data visualization platform

Finally, additional filters have been added to better study & analyze market sentiment: there are now 6 different filters for data sources (sort by sources from web & press, news, blogs, discussions, social trading or all of them) and 9 languages covered (sort by English, French, Spanish, Chinese, Japanese, Portuguese, Italian, German or all of them). These new filters allow for a wider and more accurate coverage of assets, leading to improved tools & insights for investment decision.

Global recognition & awards for SESAMm

To accomplish our worldwide ambitions, we have started being more and more present abroad, especially at international events. They represent great occasions to promote SESAMm, demonstrate the unique benefits and advantages brought by our technologies & solutions and finally create business opportunities.

This year, we participated in many international events in the US and in Japan, including New York and Hong Kong for Eagle Alpha’s Alternative Data event, Canada, Africa and even London at the French Fintech Tour.

Having been selected for unique international awards reinforces our confidence in the benefits of our solutions for the Asset Management industry, for example with “Talk data to me” by Neudata, Elevator Lab Competition, and Groupama’s award “Créateur de confiance” (Trust Creator) among others.

SESAMm won the pitch "Talk data to Me" of Alternative Data Summit event by Neudata

SESAMm pitch “Talk Data to Me” winner during Alternative Data Summit by Neudata

Moreover, SESAMm has competed in several acceleration programs, in which we were selected in the following ones:

• Fintech Business Camp Tokyo, the Tokyo Metropolitan Government accelerator program by Invest Tokyo and powered by Accenture;
• Elevator Lab, Acceleration program of Raiffeisen Bank International where SESAMm competed and was selected;
• French Tech Tour America, IMPACT USA’s program to prepare and discover North America’s markets & opportunities;  
• Pass French Tech, La French Tech’s highly selective program for hyper-growth startups & companies.

SESAMm’s plans for 2019: recruitment, development and growth

This year, we are very proud to see our team grow so much in so little time: we had 16 collaborators at the beginning of January 2018 and we are now a team of 28 members! Talented profiles have joined SESAMm team with NLP, AI & Quant engineers & experts from world-renowned schools. New collaborators will join SESAMm in the first quarter of 2019 and we are still recruiting in various fields such as Data Science, Quantitative Analysis, IT and Natural Language Processing among others. You can find all our offers on our dedicated page SESAMm Career!

Following our international success, especially in the US and in Japan, we are now preparing to open an office in the US in the following months and are already considering this option for Japan. Next month’s promise to be exciting and we will be participating in multiple events such as AI & Data Science for trading in New York in March, Machine Learning in Quant Finance by GFMI in April, and many events & conferences on alternative data, data science, Artificial Intelligence and Big Data for Asset Management around the world.

As you can see, 2018 represented SESAMm an exceptional year for its growth with new customers, including global companies, technological improvements for our solutions & services and a bigger and even more motivated team! Our major event in 2018 was the accomplishment of a €2.6 million Series A fundraising campaign, which enabled us to continue our international development, mainly in America and Asia, and the recruitment of many profiles. 2019 will represent another step for SESAMm to become a leading company in the alternative data solutions in the world. Stay tuned: SESAMm news will arrive soon!

SESAMm is pleased to announce the appointment of Steven Carroll to its Advisory Board. Over a career spanning more than 25 years, Steven has built a uniquely broad perspective on financial data, having operated at a senior level across every major corner of the industry, from quant analytics and content to AI-powered research tools and global data platforms.

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A Career at the Heart of Financial Data

Steven has seen financial data from every angle: quant analytics at StarMine, content and indices at Thomson Reuters, and AI-powered search at AlphaSense. At Refinitiv and then LSEG, he took on progressively broader remits, culminating in his role as Head of Customer Strategy and Execution, where he was responsible for go-to-market across Workspace, Data and Feeds, FTSE Russell, and Risk Intelligence and Analytics. Throughout, Steven's roles have sat at the intersection of product, marketing, and sales, spanning multiple geographies, including Australia, Singapore, the UK, and the United States.

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Deep Roots in the Institutions and Workflows SESAMm Serves

Steven is a subject-matter expert on the content sets and workflows that underpin institutional investment and risk management, including fundamental data, estimates, broker research, ESG, sentiment, and credit analytics. He has also worked closely with the firms that consume this data, from private equity and asset managers to commercial banks and insurers, giving him a first-hand understanding of how they evaluate, adopt, and integrate new data and analytics tools into their processes.

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Expanding SESAMm's Reach Across Global Financial Markets

Steven's appointment comes as SESAMm continues to expand its AI-powered risk intelligence platform and deepen its relationships with private equity firms, asset managers, commercial banks, insurers, and financial institutions globally. His perspective will provide valuable insight, bringing a practitioner's understanding of how financial data businesses grow and scale.

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Steven is also the founder of CCAS (Carroll Consulting and Advisory Services), a London-based advisory practice supporting startups and established vendors across the information services ecosystem. He is a Fellow of the Chartered Management Institute and the Institute of Consulting, a member of the Institute of Directors and the CFA Institute, and serves on the Board of Governors at Greenwich Waldorf School.

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We're thrilled to welcome Steven to SESAMm's Advisory Board and look forward to working together as we continue advancing AI-powered risk intelligence for investment firms and corporations worldwide.