What we're about

The main objective of the Swiss Association for Analytics (SAA) is to spread the word about analytics in Switzerland. The goal is also to show added value of data-driven decision making to Swiss companies. Allowing analytics practitioners to exchange ideas and experiences is a key objective. The Swiss Association for Analytics provides a network of experts, recent news, original content and regular events to analytics practitioners. Interested in analytics?

Upcoming events (1)

AI for Sustainability

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Sponsored by TIBCO

Title:
Leveraging Data Analytics to Decarbonise Supply Chains (30min)

Speaker:
Duncan Ritchie, CEO & co-founder, Praesideo

Abstract:
The Paris Agreement states that the world “… needs to pursue efforts to limit the temperature increase … to 1.5 degrees Celsius” to avoid the worst impacts of climate change. Practically, this means that every organisation needs to achieve net-zero by mid-century.

WBCSD estimates that a company’s supply chain can produce >11 times its emissions from operations. Decarbonising supply chains will be critical to achieving the Paris goal. But by their nature, supply chains exist outside a company’s direct control, making it challenging for companies to get visibility of how big the challenge is and how they can transition their supply chains to align with Paris goals.

Praesideo is solving these challenges for companies by collecting actual climate data on supply chains and leveraging climate performance analytics to enable companies to integrate climate data-driven decision-making in their procurement.

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Title:
Water : A True Measure of Sustainability (30min)

Speaker:
Paul Edmunds, Co-founder & CEO, Aquasource

Abstract:
The amount of water on the planet is about 1.386 billion km³. The same water has been circulating on our planet for the past 4.5Bn years. However, this mass abundance of water is unevenly distributed and only 1% of the earth's freshwater is readily available. We have undervalued our finite water resource and with the growing demands of population growth we have adjusted our water cycles impacting quality and quantity at local and global scales. Climate change is now exacerbating the impacts making it less predictable when, where and how much water is distributed and increasing pollution events.

This talk will provide a general introduction to the state of water on the planet and discuss the latest techniques to quantify all aspects of our water cycle. It will show how real-time data analytics can be used to guide governance, innovation and the solutions to enable natural environmental systems and society to thrive.

Title:
Energy Management with Smart Analytics by TIBCO

Speaker:
Dirk Schober, Solutions Engineer, TIBCO (20min)

Abstract:
The crisis came sooner than expected - energy prices are rising and fluctuating, there is risk of losing complete types of energy. How can energy-heavy industry companies react on a long- mid- and short-term basis? How can analytics help? Is long-term big data the way to go if the market changes all of a sudden? And how does a proper data management support in the approach for end users, data scientists, production engineers and more user?

Title:
Automating the analysis of ESG ratings with Machine Learning

Speaker:
Max Stieber, Master student intern, ELCA (30min)

Abstract:
The need for a more equitable, ecologically sound, and sustainable economy is becoming increasingly urgent. To bring about this economic upheaval, a reorientation of capital flows towards responsible and sustainable companies is needed. ESG ratings should provide transparency in the financial markets by rewarding or penalising good or bad ESG behaviour. However, it turns out that ESG agencies often disagree on the rating. Furthermore, most rating agencies are extremely non-transparent when it comes to their methodology. For this reason, it is necessary to analyse, understand and compare the ratings.

To this end, we develop methods to analyse the diverse open-source resources, extract information and examine for possible correlations with ESG ratings from different providers. NLP methods allow us to analyse large-scale data sources such as earning calls for ESG relevance and classify the relevant paragraphs into different ESG categories. This allows us to compare the different ESG statements across an industry and draw exciting conclusions.

Networking Apéro

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Past events (18)

Worst Practices in Forecasting (and Better Alternatives)

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Photos (84)

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