DATA ARCHITECTURE

Veeva Data Cloud Brings Together OpenData, Link, and Compass on a Common Data Architecture

Veeva Systems | April 27, 2022

Veeva Systems
Veeva Systems today announced Veeva Data Cloud, a group of cloud data applications that includes Veeva OpenData customer reference data, Veeva Link for real-time intelligence, and Veeva Compass patient, prescriber, and sales data for the U.S. market. Veeva Data Cloud reflects the company's long-term commitment to delivering better data to the industry, all on a common data architecture. Taking a new approach, Veeva Data Cloud delivers unlimited access to data through modern cloud software for greater flexibility and data that's always up to date.

"Commercial excellence is about getting your products to the patients that need them. With Veeva Data Cloud's modern approach and common data architecture, sales, medical, and marketing teams can work together in a more coordinated, customer-centric, and compliant way."

Veeva CEO Peter Gassner

Veeva Data Cloud's three major product families all share a common data architecture and "better data, better delivery" approach:

  • Veeva OpenData is customer reference data, including healthcare provider (HCP) and healthcare organization data, and the affiliations between them. OpenData delivers high-quality data with no usage restrictions in more than 65 countries today, with plans for more than 100 countries by the end of 2023.
  • Veeva Link data applications deliver real-time intelligence on key scientific and medical experts, health systems, scientific awareness and sentiment, and medical insights.
  • Veeva Compass is a suite of U.S. longitudinal patient, longitudinal prescriber, and sales data for a wide range of commercial use cases, including launch planning, HCP segmentation and targeting, incentive compensation, and patient journey analytics. Veeva Compass Patient and Veeva Compass Prescriber are available today, with Veeva Compass Sales planned for availability in late 2022.

Veeva Data Cloud and Veeva Commercial Cloud share a common data architecture so customers can work seamlessly across sales, medical, and marketing. This common data architecture includes shared definitions for data elements such as brands, doctors, products, content, and interactions.

For more information, see the Veeva Summit keynotes on-demand at veeva.com/SummitKeynotes. Life sciences industry professionals can also register for the Veeva Commercial Summit for sales, medical, and marketing in Boston on May 5.

About Veeva Systems
Veeva is the global leader in cloud software for the life sciences industry. Committed to innovation, product excellence, and customer success, Veeva serves more than 1,000 customers, ranging from the world's largest pharmaceutical companies to emerging biotechs. As a Public Benefit Corporation, Veeva is committed to balancing the interests of all stakeholders, including customers, employees, shareholders, and the industries it serves.

Spotlight

The promise of Big Data was supposed to make customer management processes better. It’s logical to believe that more data should result in better analytical insight and customer understanding, and for some companies, this is absolutely correct. They are able to understand individual customers and anticipate future responses with unprecedented accuracy. But most customer‑facing companies don’t know how to leverage the vast amounts of data they’ve gathered, leaving their Big Data potential untapped.


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BIG DATA MANAGEMENT

ListenFirst Announces BI Connector For Tableau

ListenFirst | January 13, 2022

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BIG DATA MANAGEMENT

Fluree Announces Significant Momentum in Digital Trust and Privacy Collaboration, Strategic Partnerships and Developer Adoption, on the Path to Web3

Fluree | December 27, 2021

Fluree, provider of the Web3 data platform, today announced significant momentum as the technology of choice for privacy-preserving data ecosystems. Fluree’s immutable semantic graph database played a key role in a wide range of projects in 2021, including secure academic credentials for projects funded by the Department of Education, a tamper-proof and fair blockchain-backed election, and off-chain data storage for Cardano, the sixth-largest cryptocurrency in the world. “It’s inspiring to see the ways that developers are taking advantage of Fluree’s ability to deliver trust, semantic context and security to data projects,” said Fluree Co-CEO and Co-Founder Brian Platz. “Support for our platform is at an all-time high, driven by data-centric architecture that can power trusted, interoperable data ecosystems.” “Mainstream adoption of Web3 — the decentralized Internet of data — is on the horizon. 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Education Credentials: Two winning projects of the American Council of Education’s Blockchain Innovation Challenge, funded by the Department of Education, are using Fluree's technology to transform credentialing in academic ecosystems. The LifeLong Learner Project focuses on providing teachers with a wallet to store and present certifications as they move throughout their careers. The UnBlockED project is focused on creating an open transfer exchange that will empower college students by streamlining transfer credit recognition. In both projects, Fluree’s technology provides the foundation for the exchange of secure and interoperable verifiable credentials across owners, issuers, and third-party institutions. Key partners within these initiatives include the University of Arizona, the Gardner Institute, and Georgia Tech. Healthcare Credentials: Pulse Connect has partnered with Fluree to build verifiable credential solutions for patients and health providers. This will help support verification requirements around vaccine credentialing in view of increasing vaccine mandates. Strategic Partnerships: Supporting Cryptocurrency Advancements, Tamper-Proof Elections and Codifying Unstructured Data Much of Fluree’s 2021 momentum stems from Fluree’s growing partner ecosystem, which recently won the CRN’s “Channel Chiefs Award.” Examples of rising stars in Fluree’s Partner Ecosystem include: Building a Metadata Sidechain Solution for the Sixth Largest Cryptocurrency: The community supporting the high-ranking cryptocurrency blockchain platform Cardano selected Ikigai Technologies and Fluree to power Logosphere. The Logosphere project proposes Fluree as an "off-chain decentralized app (dApp) data storage solution" for the metadata related to Cardano transactions. Instead of placing data into siloed databases, Fluree will act as a secure and interoperable metadata layer for dApp developers. This will enable a new class of data-driven dApps, such as non-fungible token (NFT) exchanges, decentralized knowledge graphs, and other data-centric Web3 applications. Powering the World’s First End-to-End Blockchain Election: Marzex.tech technologies delivered a Fluree-powered digital voting platform for the International Islamic University of Malaysia. The digital platform used Fluree’s backend to successfully register identities, facilitate private voting, and thwart efforts to tamper with the election. Turning Text into Trusted, Interoperable Data: Fluree integrated with Lead Semantics to offer TextDistil, a natural language processing (NLP) pipeline for unstructured data. The integration will allow organizations to transform their text and other unstructured data into a rich set of queryable information, readily integrated into data fabrics and enterprise knowledge graphs. This is particularly valuable for the healthcare industry, which deals largely with unstructured data and has experienced an 878% increase in health data over the last five years. About Fluree Founded in 2016 by Brian Platz and Flip Filipowski, Fluree PBC is headquartered in Winston-Salem, North Carolina. Fluree is pioneering a data-first technology approach with its data management platform.

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BIG DATA MANAGEMENT

Clarity AI’s Sustainability Data and Capabilities Will Support BlackRock’s Enterprise SFDR Reporting

Clarity AI | June 01, 2022

Clarity AI, the global sustainability tech platform, announced today that their sustainability data, integrated into BlackRock’s Aladdin platform, is being utilized in preparation for BlackRock’s enterprise reporting for the Sustainable Finance Disclosure Regulation (SFDR) framework. BlackRock will leverage Clarity AI capabilities, data and expertise to facilitate efficient and accurate reporting on Principal Adverse Impact (PAI) indicators. PAI indicators are a set of specific ESG metrics mandated by the European Union as part of SFDR, which imposes granular sustainability disclosure obligations for asset managers and other financial market participants. “We are thrilled to deepen our client relationship with BlackRock. “As part of our comprehensive sustainability tech kit, we are uniquely positioned in the market to deliver everything required for regulatory reporting, including SFDR, EU Taxonomy, UK Taxonomy, TCFD and MiFID II. Financial market participants of any size can leverage these capabilities via custom, easy integrations or our off-the-shelf web app.” Rebeca Minguela, Founder & CEO of Clarity AI Clarity AI’s market-leading SFDR coverage encompasses more than 49,000 companies, and its capabilities allow for portfolio aggregation and multi-asset look-through to more than 220,000 funds, including ETFs. All data is fully granular, which allows for better understanding of underlying calculations for each SFDR PAI. Should they choose to, financial market participants will be able to access these capabilities and data within their own configuration of Aladdin and leverage them as an input according to their own portfolio and reporting needs. "Deepening our partnership with Clarity AI is an exciting step forward for BlackRock and will provide us the ability to offer Aladdin users enterprise level reporting for SFDR,” said Stéphane Lapiquonne, Managing Director at BlackRock and Head of Sustainability for Europe, Middle East and Africa. “The depth and transparency behind Clarity AI data can help Aladdin users better understand exposures to the PAI metrics across their portfolios.” About Clarity AI Clarity AI is a sustainability technology platform that uses machine learning and big data to deliver environmental and social insights to investors, organizations, and consumers. As of May 2022, Clarity AI’s platform analyzes more than 49,000 companies, 220,000 funds, 198 countries and 188 local governments, and delivers data and analytics for investing, corporate research and reporting. Clarity AI has offices in North America, Europe and the Middle East, and its client network manages tens of trillions in assets under management. Clarity AI’s minority investors include, but are not limited to, Deutsche Börse, BlackRock, and SoftBank.

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BIG DATA MANAGEMENT

Denodo Recognized as an Enterprise Data Fabric Leader by Independent Analyst Firm Evaluation

Denodo | June 27, 2022

Denodo, a leader in data management, today announced that Forrester Research, Inc., a leading independent technology and market research company, has positioned Denodo as a Leader in The Forrester Wave™: Enterprise Data Fabric, Q2 2022. According to the report, “Denodo is best fit for customers that are focusing on an enterprise-wide data fabric strategy to support BI, data collaboration, customer intelligence, data engineering, data science, IoT analytics, operational insights, and predictive analytics use cases.” The complete and complementary report, published on June 23, is available here. The Wave revealed that organizations want real-time, consistent, connected, and trusted data to support their critical business operations and insights. However, new data sources, slow data movement between platforms, rigid data transformation workflows, and governance rules, expanding data volume, and distributed data across clouds and on-premises, can cause organizations to fail when executing their data strategy. Forrester VP, Principal Analyst and author of the report, Noel Yuhanna wrote, “Denodo Technologies has been a longtime player in data virtualization and now supports data fabric with expanded integration, management, and delivery capabilities to support self-service BI, advanced analytics, and enterprise data services.” With some of the best in class and latest innovations, Denodo Platform offers: An augmented data catalog to facilitate data exploration, discovery, improved collaboration and data governance. Active metadata-based historical analysis, which serves as the foundation for AI processes. A semantic layer with extended metadata to enrich traditional technical information with business terms, tags, status, or documentation, to fuel improvements in self-service, security, and governance across all data assets. AI-based recommendations to learn from usage and simplify the entire lifecycle of the data management practice, including development, operations, performance tuning, etc. DataOps and multi-cloud provisioning to reduce management and operational cost and enable the system to be cloud-vendor agnostic. “We are thrilled to see our position as a leader in the Forrester Wave for Enterprise Data Fabric. “Most of our customers, including many Fortune 500, use our platform to build their enterprise data fabric for use cases such as IoT analytics, customer intelligence, fraud detection, real-time analytics, operational insights and many more, which are all areas where Denodo received the maximum score possible. We are looking forward to continuing to help organizations across the world unleash their data-driven decision making power to create an enterprise level logical data fabric.” Ravi Shankar, Senior Vice President and Chief Marketing Officer at Denodo About Denodo Denodo is a leader in data management. The award-winning Denodo Platform is the leading data integration, management, and delivery platform using a logical approach to enable self-service BI, data science, hybrid/multi-cloud data integration, and enterprise data services. Realizing more than 400% ROI and millions of dollars in benefits, Denodo’s customers across large enterprises and mid-market companies in 30+ industries have received payback in less than 6 months.

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Spotlight

The promise of Big Data was supposed to make customer management processes better. It’s logical to believe that more data should result in better analytical insight and customer understanding, and for some companies, this is absolutely correct. They are able to understand individual customers and anticipate future responses with unprecedented accuracy. But most customer‑facing companies don’t know how to leverage the vast amounts of data they’ve gathered, leaving their Big Data potential untapped.

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