BUSINESS INTELLIGENCE

Qontigo extends sustainability offering to portfolio construction and analytics tools

Qontigo | January 11, 2022

Qontigo, a leading provider of innovative risk, analytics and index solutions has made available ISS ESG, Clarity AI and Sustainalytics data within its financial optimizer, Axioma Portfolio Optimizer (APO). Sustainalytics will also be integrated into Axioma Portfolio Analytics (APA) for performance attribution and reporting as well as Axioma Risk Model Machine (RMM), which allows users to create custom risk models.

With this direct integration into Axioma portfolio construction tools, asset managers, wealth managers and asset owners will be able to construct portfolios actively tilting towards a combination of ESG attributes; identify point-in-time ESG exposures; create desired hedges; develop custom risk models that explain risk and return; and run performance attribution based on ESG attributes.

Using its proprietary Risk Entity Framework, Qontigo is able to consolidate and normalize sustainability-linked content from multiple sources, ensuring consistency across multiple asset classes.

"We know that there's a great need for sustainability to inform the investment process and so it's important for us to offer clients a breadth of best-in-class content," said Chris Sturhahn, Chief Product Officer for Analytics at Qontigo. "Clients running strategies with ESG-linked goals – from climate to impact – may already be working with a number of vendors, but they can now benefit from more seamless data integration with leading analytics tools for portfolio construction, risk and reporting, which could result in lower total cost of ownership."

The forthcoming introduction of sustainability content into Axioma multi-asset class, cloud-native offerings will enable investment managers to also manage their portfolios with respect to a wide spectrum of sustainability-linked investment targets, as well as generate output that helps with sustainability-linked management, investor and regulatory requirements.

"We are pleased to offer our market-leading ESG data through the Axioma Portfolio Optimizer, initially starting with a focus on climate and encompassing emissions data, physical and transitional risk metrics, and scenario data across approximately 28,000 issuers," said Dr. Maximilian Horster, Head of ISS ESG, the responsible investment arm of Institutional Shareholder Services Inc. "We are excited by the opportunities this partnership affords mutual clients to access class-leading ESG and risk management solutions through an integrated channel."

"One dimension of bringing societal impact to markets is providing broad, granular and transparent ESG Risk and SDG Impact analysis, and we are excited to bring that to Qontigo and its clients," said Rebeca Minguela, Founder & CEO of Clarity AI, the global, leading sustainability tech platform. "Instead of applying analysts' subjective assessments, we leverage science-based methodologies and proprietary machine learning to deliver reliable and objective data at scale with exceptionally broad coverage. As a digital-native provider, we lead the industry in offering a comprehensive range of SaaS solutions for sustainability assessment, and integrating into Axioma Portfolio Optimizer creates the opportunity for us to illuminate paths to a more sustainable world for an even wider base of clients."

"Sustainalytics is delighted to provide Qontigo's clients with our diverse range of ESG risk and compliance solutions," said Shila Wattamwar, Global Head of Strategic Partnerships at Sustainalytics. "With ESG issues becoming a more central part of the investment decision-making process, investors can now more easily show the ESG risk attributes of their portfolios and report on them by leveraging Sustainalytics' rich ESG solutions in Qontigo's risk and analytics environment. We look forward to building on the success of our relationship with Qontigo and expanding our partnership."

Users of APO, APA and RMM will be able to access:
  • ISS ESG Daily Multi-Attribute files covering 2 modules across more than 28,000 entities: Climate Core and Climate Impact
  • Clarity AI ESG Risk ratings as well as SDG Impact metrics, with coverage that extends across 30,000 companies, 135,000 funds, 198 countries and 187 local governments
  • Sustainalytics Daily Multi-Attribute files covering 7 modules across more than 25,000 entities: ESG Risk Ratings, Product involvement, Controversial Weapons, Global Standards Screening, Corporate Governance and Controversies

Qontigo currently uses ISS ESG and Sustainalytics datasets for the construction of STOXX and DAX indices.

Spotlight

SAS Canada's Women in Analytics Network hosted their first Speed Mentoring event on September 27th at SAS HQ in Toronto. Over 150 women got together to hear from seven amazing women in analytics, ask them questions, hear their stories, and network. The Women in Analytics (WIA) Network is a SAS sponsored networking program aimed to strengthen diversity in the analytics field. The program will leverage the SAS values of authenticity, value for work/life balance and passion to build a community of women who are interested in and will advocate for Women in Analytics. Our audience is anyone wishing to contribute to, or build a career in analytics. Your voice matters, join the network to get exclusive access to networking events, hear from top women in analytics and stay current on the latest advancements in the world of analytics.


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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Comet Introduces Kangas, An Open Source Smart Data Exploration, Analysis and Model Debugging Tool for Machine Learning

Comet | November 17, 2022

Comet, provider of the leading MLOps platform for machine learning (ML) teams from startup to enterprise, today announced a bold new product: Kangas. Open sourced to democratize large scale visual dataset exploration and analysis for the computer vision and machine learning community, Kangas helps users understand and debug their data in a new and highly intuitive way. With Kangas, visualizations are generated in real time; enabling ML practitioners to group, sort, filter, query and interpret their structured and unstructured data to derive meaningful information and accelerate model development. Data scientists often need to analyze large scale datasets both during the data preparation stage and model training, which can be overwhelming and time-consuming, especially when working on large scale datasets. Kangas makes it possible to intuitively explore, debug and analyze data in real time to quickly gain insights, leading to better, faster decisions. With Kangas, users are able to transform datasets of any scale into clear visualizations. “A key component of data-centric Machine Learning is being able to understand how your training data impacts model results and where your model predictions are wrong. “Kangas accomplishes both of these goals and dramatically improves the experience for ML practitioners.” Gideon Mendels, CEO and co-founder of Comet Putting Large Scale Machine Learning Dataset Analysis at Your Fingertips Developed with the unique needs of ML practitioners in mind, Kangas is a scalable, dynamic and interoperable tool that allows for the discovery of patterns buried deep within oceans of datasets. With Kangas, data scientists can query their large-scale datasets in a manner that is natural to their problem, allowing them to interact and engage with their data in novel ways. Noteworthy benefits of Kangas include: Unparalleled Scalability: Kangas was developed to handle large datasets with high performance. Purpose Built: Computer Vision/ML concepts like scoring, bounding boxes and more are supported out-of-the-box, and statistics/charts are generated automatically. Support for Different Forms of Media: Kangas is not limited to traditional text queries. It also supports images, videos and more. Interoperability: Kangas can run in a notebook, as a standalone local app or even deployed as a web app. It ingests data in a simple format that makes it easy to work with whatever tooling data scientists already use. Open Source: Kangas is 100% open source and is built by and for the ML community. Kangas was designed for the entire community, to be embraced by students, researchers and the enterprise. As individuals and teams work to further their ML initiatives, they will be able to leverage the full benefits of Kangas. Being open source, all are able to contribute and further enhance it as well. “Interoperability and flexibility are inherent in Comet’s value proposition, and Comet aims to expand on that value through open source contributions,” added Mendels. “Kangas is a continuation of all of our efforts, and we couldn’t wait to get its capabilities into the hands of as many data scientists, data engineers and ML engineers as possible. We believe by open sourcing it, Comet can help teams get the most out of their ML projects in ways that have not been possible previously.” Kangas is available as an open source package for any type of use case. It will be available under Apache License 2 and is open to contributions from community members. About Comet Comet provides an MLOps platform that data scientists and machine learning teams use to manage, optimize, and accelerate the development process across the entire ML lifecycle, from training runs to monitoring models in production. Comet’s platform is trusted by over 150 enterprise customers including Affirm, Cepsa, Etsy, Uber and Zappos. Individuals and academic teams use Comet’s platform to advance research in their fields of study. Founded in 2017, Comet is headquartered in New York, NY with a remote workforce in nine countries on four continents. Comet is free to individuals and academic teams. Startup, team, and enterprise licensing is also available.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, PERFORMANCE MANAGEMENT

Talend Named a Leader in 2022 Gartner® Magic Quadrant™ for Data Quality Solutions

Talend | November 07, 2022

Talend, a global leader in data integration and data management, today announced it has once again been recognized by Gartner, Inc. as a Leader in data quality solutions in the 2022 Magic Quadrant for Data Quality Solutions 1. This is the fifth consecutive time that Talend has been positioned in the Leaders Quadrant based on the company's ability to execute and completeness of vision. According to Gartner, Inc., "Driven by transition to more augmented data quality features, the market for data quality solutions is further consolidating with adjacent data and analytics markets such as metadata management, governance platforms, data integration tools and master data management (MDM) solutions. As a result, data and analytics (D&A) leaders and practitioners expect seamless interoperability between these products driven by consolidation and sharing of metadata." "The ability to establish a trusted data culture and democratize access to trusted data relies on a collaborative approach to data quality. "We believe that this new recognition as a Leader demonstrates the value Talend brings in supporting organizations to take a proactive and integrated path to healthy data." Jamie Fiorda, CMO, Talend Talend Data Fabric is the only end-to-end data management platform that provides integrated data quality capabilities to guarantee access and usage of trusted and governed data throughout the data life cycle. In the most recent release, the platform adds advanced features for automation and AI-driven augmentation for data enrichment, data profiling, and data remediation, as well as data observability to face the growing complexity of data stacks and the need for proactively managing data quality. In the report, Gartner also notes, "By 2024, 90% of data quality technology buying decisions will focus on ease of use, automation, operational efficiency and interoperability as the critical decision factors." Additionally, "By 2026, 20% of large enterprises will use a single data and analytics governance platform to unify and automate discrete governance programs." Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER and Magic Quadrant are registered trademarks and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. About Talend  Talend, a global leader in data integration and data management, is taking the work out of working with data. Talend offers the only end-to-end platform that combines enterprise-grade data integration, integrity, and governance capabilities to unify data across any cloud, hybrid, or multi-cloud environment. With Talend's no-code and low-code modules, data experts and business users actively collaborate to make data more discoverable, usable, and valuable organization-wide. Over 7,250 customers around the world rely on Talend for healthy data and a healthy business.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Precisely Works with AWS to Power Mainframe Modernization for Real-Time Access to Data

Precisely | December 01, 2022

Precisely, the global leader in data integrity, today announced it is working with Amazon Web Services (AWS) on its AWS Mainframe Modernization service. The integration offers real-time replication of mainframe data to AWS leveraging Precisely Connect, allowing customers to securely and efficiently migrate data, as well as access mainframe data on AWS for more powerful analytics. This new scope of work delivers a mainframe modernization solution to the market that allows customers to replicate mainframe data onto AWS with zero downtime. The functionality allows customers to build resilient, high-performance data pipelines that connect data from their mainframe databases to AWS services like Amazon Relational Database Service (Amazon RDS), Amazon Aurora, Amazon Simple Storage Service (Amazon S3), Amazon EMR, Amazon Managed Streaming for Apache Kafka (MSK), Amazon Redshift, Snowflake on AWS, and more. By accelerating access to mainframe data on AWS, businesses can get mainframe migration projects done on time and on budget, all while extending the value of mission-critical, and high investment, mainframe systems. The integration solution works within a business’s existing architecture, allowing teams to future-proof solutions and be flexible when introducing new applications and use cases. Customers that have already begun taking advantage of these joint capabilities include AAA Life Insurance: “Our customers rely on us to provide financial protection for their loved ones, and with over 1,500,000 active policies, central to success is real-time access to trusted data across multiple sources. This includes mainframe systems - which are notoriously challenging to integrate effectively,” said Steven Hinzmann, Manager of Application Development at AAA Life Insurance. “Precisely Connect allows us to quickly and easily access vast volumes of historical business and customer data, which is then replicated to the AWS environment where it can be leveraged for advanced analytics. The combination of Precisely’s rich heritage in handling mainframe data with AWS’s cloud platform has been unbeatable for allowing us to innovate and drive the best possible customer experience." “Data is the lifeblood of the digital economy and the pipelines that carry it are essential to a business’s IT infrastructure. “Together with AWS, we can help our customers to maximize their data and investments - unlocking the true potential of their critical data assets to power their business by making critical data assets available for AWS and for advanced analytics.” Eric Yau, Chief Operating Officer at Precisely “AWS and Precisely empower our customers to build trust in their data,” said Bill Platt, General Manager for Migration Services at AWS. “By integrating data from complex mainframe systems directly onto AWS, customers can rely on their data to be the driving force of confident analytics, and ensure they are deriving maximum value from their infrastructure investments.” About Precisely Precisely is the global leader in data integrity, providing accuracy, consistency, and context in data for 12,000 customers in more than 100 countries, including 99 of the Fortune 100. Precisely’s data integration, data quality, data governance, location intelligence, and data enrichment products power better business decisions to create better outcomes.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, BUSINESS STRATEGY

Anonos Acquires Award-Winning Synthetic Data Company Statice

Anonos | November 02, 2022

Anonos, provider of the only technology that protects data in use with 100% accuracy, today announced the acquisition of Berlin-based Statice GmbH, a synthetic data software provider. With the addition of the Statice solution, which generates new privacy-preserving data points that reflect the statistical properties of the original data, Anonos expands its ability to provide a comprehensive platform that powers speed to data insights for use cases while enhancing the protection and utilization of data. The Statice synthetic data technology will be integrated with the Anonos Data Embassy platform and available later this quarter. This acquisition follows Anonos’ recent announcement of $50 million in new growth financing backed by its intellectual property portfolio, facilitated by Aon and led by GT Investment Partners (“Ghost Tree Partners”). Statice was recently honored with the Handelsblatt Diamond Award in the best innovation in banking and fintech category, named in Gartner “Emerging Tech: Top Use Cases for Tabular Synthetic Data, September 2022,” and recognized in two 2022 Gartner Hype Cycle™ reports: Artificial Intelligence and Data Science and Machine Learning (ML). As noted in the latter report, Gartner predicts an increase in synthetic data adoption and growing buyers' interest across all industries notably due to the multiple benefits of the technology, for example, how synthetic data can "reduce cost and save time in ML development as it is cheaper and faster to obtain." The same report mentions that "synthetic data applications have expanded beyond automotive and computer vision use cases to include data monetization, external analytics support, platform evaluation and the development of test data." “Statice and Anonos share the goal of helping enterprises use more of their data assets, minus the usual conflicts and compromises. “Now organizations have the benefits of high-privacy, high-utility statutory pseudonymization combined with those of a proven synthetic data product for granular control throughout the data lifecycle.” Anonos Co-CEO and President Ted Myerson Enterprises have the option of using synthetic data whenever possible, and then combining it with Anonos’ non-identifiable yet 100% accurate Variant Twins® when there are privacy variables and risks – for example, to ensure compliance with Schrems II and the U.S. CLOUD Act for compliant data transfers across international borders. “From non-production use cases to full-production processing, more data control, privacy and accuracy aren’t just possibilities but actual realities,” Myerson added. Anonos was named as a Cool Vendor by Gartner because of its Variant Twin technology and recognized in August for data security as a service in the “Gartner Hype Cycle for Data Security, 2022.” Data Embassy delinks data from both direct and indirect identifiers to obscure identity while enabling organizations to use more of their data for lawful analytics, artificial intelligence, machine learning, data sharing and data transfer. It works by transforming source data into statutorily pseudonymized and 100% accurate Variant Twins authorized for specific purposes. They are embedded with multi-level data privacy and security controls that are technologically enforced, so they can travel anywhere. Controlled relinking to the original data accelerates speed to insights, but that process can only occur with the addition of other data held separately by the data controller or an authorized party. Statice’s co-founders Omar Ali Fdal and Mikhail Dyakov join the Anonos leadership team, and all 23 Statice employees become Anonos employees for a total of 65, with a majority located in Europe. “We are thrilled to join Anonos to accelerate the development of an entire range of modern data protection solutions, helping organizations across industries be more confident in data privacy and security so they can gain more business value from their data,” said Omar Ali Fdal, co-founder of Statice. “Our visions and strengths are aligned in de-risking data so our customers can responsibly pursue data-driven initiatives to accomplish their business goals.” “We recognized the great potential of privacy-enhancing technologies in the market early on. Especially in Germany and Europe, data protection law is strict, privacy concerns are manifold and our clients, as well as their customers' demand for the protection of private data is very high. PwC incubated the capabilities of Statice’s synthetic data solution to support internal operations and external advisory requirements. Statice’s vision for data agility combined with privacy reliability changed how we drive digital transformation for our clients, and we are convinced that such technologies are poised to have a wide impact on global enterprise data strategies,” said Marcus Hartmann, Chief Data Officer at PwC Germany and PwC Europe. Now, it's time to take the next step to industrialize the solutions. “The resulting joint capabilities of Statice with Anonos will offer privacy protection across the entire spectrum of data operations. That combination of privacy-enhancing techniques opens new possibilities for our clients in using more of their sensitive data to fuel innovation and modernization while eliminating the potential for data misuse.” The terms of the transaction will not be disclosed. PwC is no longer a stockholder of Statice; Anonos is now the 100% stockholder of Statice. About Anonos Anonos is a global software company that provides the only technology capable of protecting data in use with 100% accuracy, even in untrusted environments, making otherwise restricted assets accessible to expand and expedite data-driven initiatives. Its patented Data Embassy platform transforms source data into Variant Twins: non-identifiable yet 100% accurate data assets for specific use cases. Because multi-level data privacy and security controls are embedded into the data and technologically enforced, Variant Twins can travel anywhere – across departments, outside the enterprise, or around the globe. Therefore, data protection teams and data users can collaborate to advance projects for capturing valuable insights without compromising privacy, security, accuracy or speed. Anonos. Data without the drama. About Statice Statice develops state-of-the-art data privacy technology that helps companies double-down on data-driven innovation while safeguarding the privacy of individuals. Thanks to the privacy guarantees of the Statice data anonymization software, companies generate privacy-preserving synthetic data compliant for any type of data integration, processing and dissemination. With Statice, enterprises from the financial, insurance and healthcare industries can drive data agility and unlock the creation of value along their data lifecycle. Safely train machine learning models, finally process your data in the cloud, or easily share it with partners.

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Spotlight

SAS Canada's Women in Analytics Network hosted their first Speed Mentoring event on September 27th at SAS HQ in Toronto. Over 150 women got together to hear from seven amazing women in analytics, ask them questions, hear their stories, and network. The Women in Analytics (WIA) Network is a SAS sponsored networking program aimed to strengthen diversity in the analytics field. The program will leverage the SAS values of authenticity, value for work/life balance and passion to build a community of women who are interested in and will advocate for Women in Analytics. Our audience is anyone wishing to contribute to, or build a career in analytics. Your voice matters, join the network to get exclusive access to networking events, hear from top women in analytics and stay current on the latest advancements in the world of analytics.

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