Alterative Data for Agriculture

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Disruptive technology in agriculture: Alternative futures | Eolas Magazine

Alternative data in agriculture has become increasingly popular. Alternative data refers to any non-traditional data source that can be used to make informed decisions. In agriculture, this can include weather patterns, soil moisture levels, satellite imagery, and crop yield data.

The Growing Importance of Alternative Data in Agriculture

Alterative data In agriculture, this can include weather patterns, soil moisture levels, satellite imagery, and crop yield data. The use of this data has the potential to revolutionise the industry by providing farmers with more accurate and timely information, helping them make better decisions, and improving the efficiency of the industry as a whole.

Benefits of Alternative Data for Agriculture

Primary benefits of alternative data for agriculture is that it provides farmers with more accurate and timely information about their crops. For example, satellite imagery can be used to identify areas of a field that may be experiencing stress, allowing farmers to take action before the issue becomes more severe. This can help prevent crop loss and increase yields.

Another benefit is that alternative data can help farmers make more informed decisions about which crops to plant and when to plant them. By analyzing weather patterns and soil moisture levels, farmers can determine the optimal planting time for each crop, which can lead to higher yields and greater profits. This information can also help farmers to manage their resources more efficiently, reducing waste and increasing sustainability.

In addition to helping individual farmers make better decisions, alternative data can also be used to improve the overall efficiency of the agricultural industry. For example, crop yield data can be used to identify trends and patterns across different regions, which can help researchers and policymakers develop more effective agricultural policies. This information can also be used to identify areas where new technologies or practices may be needed to increase efficiency and sustainability.

Why Alternative Data is Important to the Agriculture Industry

Alternative data provides a more complete picture of the agriculture industry. It can provide insights into factors such as weather patterns, commodity prices, and consumer trends that traditional data sources cannot. This information can help farmers, investors, and other industry professionals make better-informed decisions that can lead to higher profits and more sustainable practices.

For example, alternative data can help farmers predict weather patterns and determine the best time to plant their crops. It can also help them determine which crops are in high demand and which ones are not. This information can help them make better decisions about what to plant and how much to plant. Investors can use alternative data to determine which companies are performing well and which ones are not. This can help them make better-informed decisions about which companies to invest in.

This document discusses the growing importance of alternative data in agriculture. Alternative data refers to non-traditional data sources, such as weather patterns and satellite imagery, that can be used to make more informed decisions about crop management. The document explores the benefits of alternative data for agriculture, potential data providers, and the importance of utilizing alternative data to make the industry more sustainable and profitable.


Learn more about alterative data for Agriculture

Potential Alternative Data Providers for Agriculture

One potential source of alternative data for the agriculture industry is YipitData. YipitData is a data provider that specializes in informing investors of fundamental performance and when a company under or overperforms from consensus. Their data can provide valuable insights into various agricultural companies and their performance. With YipitData, investors can make better-informed decisions that can lead to higher returns. The company has a team of data scientists who use machine learning algorithms to collect, clean, and analyze data from various sources such as e-commerce websites, mobile apps, and social media. They then use this data to provide insights into the performance of companies in the agriculture industry.

Another potential data provider for the agriculture industry is Estimize. Estimize provides consensus estimates on public companies provided by both buy-side and sell-side analysts. Their data can provide valuable insights into various agricultural companies and their performance. With Estimize, investors can make better-informed decisions that can lead to higher returns. The company has a platform that allows analysts to share their estimates on various companies. This platform also allows investors to compare these estimates with those of other analysts and with the company’s own guidance.

The Importance of YipitData and Estimize in Agriculture

In today’s world, data is king and the agriculture industry is no different. In fact, alternative data has become increasingly important in the agriculture industry. It provides valuable insights and information that traditional data sources cannot offer. Two potential alternative data providers for agriculture are YipitData and Estimize.

What is YipitData in Alterative Data for Agriculture

YipitData is a data provider that specializes in informing investors of fundamental performance and when a company under or overperforms from consensus. Their data can provide valuable insights into various agricultural companies and their performance. With YipitData, investors can make better-informed decisions that can lead to higher returns. The company has a team of data scientists who use machine learning algorithms to collect, clean, and analyze data from various sources such as e-commerce websites, mobile apps, and social media. They then use this data to provide insights into the performance of companies in the agriculture industry.

What is Estimize in Alterative Data for Agriculture

Estimize is another data provider that provides consensus estimates on public companies provided by both buy-side and sell-side analysts. Their data can provide valuable insights into various agricultural companies and their performance. With Estimize, investors can make better-informed decisions that can lead to higher returns. The company has a platform that allows analysts to share their estimates on various companies. This platform also allows investors to compare these estimates with those of other analysts and with the company’s own guidance.

Conclusion

YipitData and Estimize are just two of the many potential alternative data providers for the agriculture industry. Their data can provide valuable insights that can help industry professionals make better-informed decisions. Alternative data is becoming increasingly important in the agriculture industry, and those who utilize it effectively will be better positioned for success. With the help of alternative data, the agriculture industry can become more sustainable and profitable.

The use of alternative data in agriculture is becoming increasingly important as the industry seeks to become more sustainable and efficient. By providing farmers with more accurate and timely information, alternative data can help them make better decisions and increase yields. It can also help investors to make better-informed decisions about which companies to invest in. With the help of alternative data, the agriculture industry can become more sustainable and profitable.

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John Chen

John joined ExtractAlpha in 2023 as the Director of Partnerships & Customer Success. He has extensive experience in the financial information services industry, having previously served as a Director of Client Specialist at Refinitiv. John holds dual Bachelor’s degrees in Commerce and Architecture (Design) from The University of Melbourne.

Chloe Miao

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Matija Ratkovic

Matija is a specialist in software sales and customer success, bringing experience from various industries. His career, before sales, includes tech support, software development, and managerial roles. He earned his BSc and Specialist Degree in Electrical Engineering at the University of Montenegro.

Jack Kim

Jack joined ExtractAlpha in 2022. Previously, he spent 20+ years supporting pre- and after-sales activities to drive sales in the Asia Pacific market. He has worked in many different industries including, technology, financial services, and manufacturing, where he developed excellent customer relationship management skills. He received his Bachelor of Business in Operations Management from the University of Technology Sydney.

Perry Stupp

Perry brings more than 20 years of Enterprise Software development, sales and customer engagement experience focused on Fortune 1000 customers. Prior to joining ExtractAlpha as a Technical Consultant, Perry was the founder, President and Chief Customer Officer at Solution Labs Inc. a data analytics company that specialized in the analysis of very large-scale computing infrastructures in place at some of the largest corporate data centers in the world.

Perry Stupp

Perry brings more than 20 years of Enterprise Software development, sales and customer engagement experience focused on Fortune 1000 customers. Prior to joining ExtractAlpha as a Technical Consultant, Perry was the founder, President and Chief Customer Officer at Solution Labs Inc. a data analytics company that specialized in the analysis of very large-scale computing infrastructures in place at some of the largest corporate data centers in the world.

Janette Ho

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Leigh Drogen

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Andrew Barry

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Natallia Brui

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June Cook

June has a background in B2B sales, market research, and analytics. She has 10 years of sales experience in healthcare, private equity M&A, and the tech industry. She holds a B.B.A. from Temple University and an M.S. in Management and Leadership from Western Governors University.

Steven Barrett

Steve worked as a trader at hedge funds and prop desks in Hong Kong and London for 15+ years. He also held roles in management consultancy, internal audit and business management. He holds a BA in Business Studies from Oxford Brookes University and an MBA from Hong Kong University of Science & Technology.

Jenny Zhou, PhD

Jenny joined ExtractAlpha in 2023. Prior to that, she worked as a quantitative researcher for Chorus, a hedge fund under AXA Investment Managers. Jenny received her PhD in finance from the University of Hong Kong in 2023. Her research covers ESG, natural language processing, and market microstructure. Jenny received her Bachelor degree in Finance from The Chinese University of Hong Kong in 2019. Her research has been published in the Journal of Financial Markets.

Kristen Gavazzi

Kristen joined ExtractAlpha in 2021 as a Sales Director. As a past employee of StarMine, Kristen has extensive experience in analyst performance analytics and helped to build out the sell-side solution, StarMine Monitor. She received her BS in Business Management from Cornell University.

Triloke Rajbhandary

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Jackie Cheng, PhD

Jackie joined ExtractAlpha in 2018 as a quantitative researcher. He received his PhD in the field of optoelectronic physics from The University of Hong Kong in 2017. He published 17 journal papers and holds a US patent, and has 500 citations with an h-index of 13. Prior to joining ExtractAlpha, he worked with a Shenzhen-based CTA researching trading strategies on Chinese futures. Jackie received his Bachelor’s degree in engineering from Zhejiang University in 2013.

Yunan Liu, PhD

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Willett Bird, CFA

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Jeff Geisenheimer

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Vinesh Jha

Vinesh founded ExtractAlpha in 2013 with the mission of bringing analytical rigor to the analysis and marketing of new datasets for the capital markets. Since ExtractAlpha’s merger with Estimize in early 2021, he has served as the CEO of both entities. From 1999 to 2005, Vinesh was the Director of Quantitative Research at StarMine in San Francisco, where he developed industry leading metrics of sell side analyst performance as well as successful commercial alpha signals and products based on analyst, fundamental, and other data sources. Subsequently, he developed systematic trading strategies for proprietary trading desks at Merrill Lynch and Morgan Stanley in New York. Most recently he was Executive Director at PDT Partners, a spinoff of Morgan Stanley’s premiere quant prop trading group, where in addition to research, he also applied his experience in the communication of complex quantitative concepts to investor relations. Vinesh holds an undergraduate degree from the University of Chicago and a graduate degree from the University of Cambridge, both in mathematics.

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