BIG DATA MANAGEMENT, DATA SCIENCE

Arcadia Research Data Now Available on Snowflake

Arcadia | September 16, 2022 | Read time : 02:50 min

Arcadia
Arcadia, the leading data analytics platform for healthcare, today announced it has partnered with Snowflake, the Data Cloud company, to make Arcadia's de-identified electronic health record (EHR) and integrated claims data available on Snowflake Marketplace.

Snowflake Marketplace, powered by Snowflake's ground-breaking approach to data in the cloud, allows companies to receive direct access to raw data products and leverage data quickly, securely, and cost-effectively. Snowflake Marketplace simplifies sharing, collaboration, and the commercialization of data, data services and applications, enabling users to unlock entirely new revenue streams and extended insights across the Data Cloud.          

Data providers, such as Arcadia, can publish data sets or make data analytics services available to Snowflake customers. Snowflake is a valuable partner for life science companies that may want to access the company's EHR and claims data. Snowflake Marketplace allows Arcadia to replace the slow, cumbersome FTP process for data delivery with seamless data sharing capabilities.

Arcadia Research Data is built from an actively growing patient population sourced from EHRs and claims data offering comprehensive visibility across payers and multiple sites of care across the clinical patient journey. Snowflake will enable joint customers access to Arcadia's de-identified real-world data (RWD) to drive insights for life sciences research to improve health/patient outcomes.

"Democratizing access to health data is essential to the acceleration of medical research and development of therapies that can save and improve lives. "Partnering with Snowflake allows organizations to leverage clinical information in Arcadia's data to gain valuable insights that lead to improved healthcare and better outcomes."

Jim Robbins, SVP of Life Sciences at Arcadia

About Arcadia
Arcadia is dedicated to happier, healthier days for all. We transform data into powerful insights that deliver results. Through our partnerships with the nation's leading health systems, payers, and life science companies, we are growing a community of innovation to improve care, maximize value, and confront emerging challenges.

Spotlight

Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities.


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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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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Cribl and Cloudian Offer S3 Data Lake-based Observability Platform for Modern Data Analytics

Cribl | October 12, 2022

Cribl and Cloudian® today announced a modern data analytics solution that integrates Cribl Stream and Cloudian HyperStore® object storage to provide an observability platform on an on-premises, S3-compatible data lake. The joint solution enables organizations to ingest, parse, restructure and enrich large data volumes in flight, ensuring they get the right data in the formats they need — all securely behind their firewall. Users can convert logs into metrics, reduce cost, and increase search speed. The Need for an Observability Platform Monitoring solutions alone only help enterprises answer well-known questions about their infrastructure and environment. To get new signals or opportunities, they also need an observability platform that can ingest and store data from multiple sources with full fidelity and can replay the relevant data into various analytics tools without adding new infrastructure and agents. This allows IT teams to perform advanced analytics, getting full visibility and insight into their environment, from applications to infrastructure assets. The Cribl-Cloudian Solution Cribl Stream is an observability pipeline that collects data from any source and can send and replay data to a Cloudian HyperStore S3-compatible data lake. The data is stored in HyperStore with full fidelity and is always available to search and analyze. HyperStore can scale up to thousands of nodes across multiple data centers, supporting millions of users and hundreds of petabytes of data. Other solution benefits include: Cost-effective, limitless scalability for long-term compliance – Data can be reformatted via a pre-parser, helping users mask, reduce, or restructure and route it to multiple destinations, such as low-cost Cloudian storage (½¢/GB/month or less) for long-term retention. Replay data – Customers can replay multiple data formats stored in the data lake to popular analytics and search platforms. Hybrid cloud ready – Users can employ policy-based tools to replicate or tier data to AWS, GCP, Azure, or another Cloudian HyperStore cluster for offsite disaster recovery, capacity expansion or data analysis in the cloud, enabling cost-effective storage across environments but managed as a single pool. Military-grade security and ransomware protection – Features include AES-256 server-side encryption for data stored at rest, SSL for data in transit (HTTPS), role-based access controls with specified levels of access, audit trail logging and data immutability for protection against ransomware. Data resiliency – The solution provides up to 14 nines of resiliency and supports administrator-selectable storage policies based on replication or erasure coding, along with fine grain control of data placement across data centers. “Giving our customers freedom and control over their data is the core of Cribl. “When customers use Cloudian and Cribl together, they can collect the largest amounts of data in any format with Cribl Stream and store and replay full fidelity data leveraging Cloudian HyperStore, saving costs and optimizing performance.” Zac Kilpatrick, vice president, Global Channels & Alliances, Cribl “Organizations are continually striving to gain deeper insights from their data to drive greater business and operational advancements,” said Larry Meese, vice president, Products and Solutions, Cloudian. “The Cribl-Cloudian solution enables them to easily and cost-effectively apply modern analytics applications to their on-prem data with the same scalability and flexibility of public cloud services while avoiding the cost and performance issues of moving large data volumes to the cloud.” About Cribl Cribl makes open observability a reality for today’s tech professionals. The Cribl product suite defies data gravity with radical levels of choice and control. Wherever the data comes from, wherever it needs to go, Cribl delivers the freedom and flexibility to make choices, not compromises. It’s enterprise software that doesn’t suck, enables tech professionals to do what they need to do, and gives them the ability to say “Yes.” With Cribl, companies have the power to control their data, get more out of existing investments, and shape the observability future. Founded in 2017, Cribl is a remote-first company with an office in San Francisco, CA. About Cloudian Cloudian is the leader in data management software for the hybrid cloud. With military-grade security, limitless scalability and seamless cloud integration, Cloudian’s S3-compatible object storage lets users optimize data access, meet data sovereignty requirements and cut costs by consolidating information to a single, cloud-like platform. Cloudian’s geo-distributed architecture manages and protects object and file data at the edge, core, and in the cloud, for both conventional and modern applications.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Treasure Data Works with Amazon Marketing Cloud to Develop Turn-Key Integration to Enrich Customer Experiences

Treasure Data | October 31, 2022

Treasure Data, an award-winning enterprise customer data platform (CDP), today announced an integration with Amazon Marketing Cloud, a clean room solution by Amazon Ads, to help advertisers better understand audience segments, advertising performance, and streamline insight generation. Treasure Data is the first CDP vendor integrated with Amazon Marketing Cloud. Marketers are increasingly using CDPs to maintain their first party CRM information. At the same time, it is estimated that 80% of advertisers with media budgets of $1 billion or more plan to utilize clean rooms by 2023. To help advertisers acquire more value from their clean room experiences, this seamless integration between Treasure Data's CDP and Amazon Marketing Cloud, enables enterprises to develop richer and more timely insights for optimized marketing, advertising, and campaign investments. "As a pioneer in the CDP industry, Treasure Data is honored to be the first customer data platform to have completed this unique integration with Amazon Marketing Cloud. "The integration helps our customers to increase the overall effectiveness of their marketing and advertising campaigns with this global and privacy-safe solution." John Baudino, Vice President of Partnerships at Treasure Data Treasure Data customers using Amazon Ads for campaigns will now be able to easily send curated audiences to Amazon Marketing Cloud for enhanced and aggregated and anonymized insights such as audiences' in-market groups, lifestyle cohorts, and brand engagement patterns. The enriched segments derived from Amazon Marketing Cloud insights can then be used to fine-tune audience strategy for an advertiser's Amazon DSP campaigns. Audience insights returned are aggregated and anonymous. Features enabled through the integrations will be available to customers through the Treasure Data Marketplace. About Treasure Data Treasure Data Customer Data Cloud helps enterprises use all of their customer data to improve campaign performance, achieve operational efficiency, and drive business value with connected customer experiences. Our suite of customer data platform solutions integrates customer data, connects identities in unified customer profiles, applies privacy, and makes insights and predictions available for Marketing, Service, Sales and Operations to drive personalized engagement and improve customer acquisition, sales, and retention.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Alteryx Announces New Analytics Cloud Capabilities and Enterprise Readiness Enhancements To Enable Analytics For All

Alteryx | October 19, 2022

Alteryx, Inc., the Analytics Automation Company, today revealed new enhancements to enable cloud analytics and enterprise readiness, announced at the company's annual customer and partner conference Inspire EMEA 2022. Expanded Cloud and Snowflake Analytic Capabilities Enable Everyone to Deliver Valuable Insights Businesses are embracing modern data architecture and cloud data warehouses like Snowflake to empower everyone in their organization to deliver data-driven insights from anywhere. In response, Alteryx is introducing new developments on the Alteryx Analytics Cloud platform, which provides unified and approachable end-to-end analytics in the Cloud. Alteryx Machine Learning is now powered by the Alteryx Analytics Cloud platform. Now, anyone with a non-data science background can easily build automated machine learning models at scale to create predictive financial forecasts, identify overdue accounts, segment customers, improve user engagement, and more. Designer Cloud powered by Trifacta has dramatically improved the performance of Snowflake data processing. New updates include processing data up to 20x faster when moving data from AWS to Snowflake, enabling users to quickly and easily access and utilize more data sources. "Being able to take advantage of Snowflake computing in Alteryx Designer Cloud is a huge advantage for Advarra that allows us to centralize our resource management and investments," comments Sajid Sayed, senior director, data science platform at Advarra. "These enhancements to Snowflake Pushdown will provide more streamlined analytics performance and will be a huge advantage for Advarra and our data-driven approach to clinical research." "Putting powerful machine learning tools in the hands of everyone and making data science accessible is core to solving the biggest challenges in business today," said Suresh Vittal, chief product officer at Alteryx. "At Alteryx, we are excited these new product enhancements will help essential in-department knowledge experts to make valuable contributions to the business by delivering outcomes that drive the innovation needed to succeed in hypercompetitive landscapes." Improved Security and Speed for Enterprise Readiness with Alteryx 22.3 With exponential growth in the volume of data being created and captured daily, it is critical organizations fast track secure access to data across the organization. In the 22.3 product release, Alteryx enhances security and speed to enterprise-wide analytics insights. To streamline how organizations connect users to data while also better protecting sensitive digital credentials, Alteryx's Data Connection Manager (DCM) now supports Azure Active Directory group authentication for Snowflake and Databricks, as well as a new integration with third-party vaults like HashiCorp and CyberArk. Further, users can speed their time to insights with enhanced Google BigQuery connectivity. With 170x performance improvement, the new update allows analysts to work with large data sets where they live, rather than time consuming, costly processes that impact productivity. And, with general access to PDF to text capabilities, users can swiftly unlock insights from unstructured data using Alteryx Intelligence Suite. About Alteryx Alteryx powers analytics for all by providing our leading Analytics Automation Platform. Alteryx delivers easy end-to-end automation of data engineering, analytics, reporting, machine learning, and data science processes, enabling enterprises everywhere to democratize data analytics across their organizations for a broad range of use cases. More than 8,000 customers globally rely on Alteryx to deliver high-impact business outcomes.

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Spotlight

Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities.

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