BIG DATA MANAGEMENT

Palantir Technologies Extends Partnership with Ferrari to Bring Data Driven Performance Decisions to Race Operations

Palantir Technologies | February 14, 2022

Palantir Technologies Inc. , a leading builder of operating systems for the modern enterprise, today announced a new one year extended partnership with Ferrari to bring its world class data and analytics technology to Scuderia Ferrari. In addition to Scuderia Ferrari continuing to use Palantir’s Foundry platform to propel data driven performance decisions across the team’s Power Unit, Palantir will become an official Team Partner of Scuderia Ferrari, significantly expanding its past relationship.

Specifically, Scuderia Ferrari’s Power Unit department ensures that the race cars deliver optimal performance without exceeding their structural capabilities. Foundry will enable power unit engineers on the racetrack and in the Maranello Factory to optimize performance, and rapidly analyze data from sources such as Grand Prix data, test bench results, and part information.

Since 2016, Scuderia Ferrari has used the Foundry platform to help their technical teams make faster, data driven decisions around car performance, development, and reliability. In this new, expanded agreement, Scuderia Ferrari Power Unit engineers will use the Foundry platform to rapidly integrate and analyze large volumes of information from a wide array of sources to allow team members to swiftly make critical decisions and instantly share their analyses across the organization.

“We are pleased to be extending and expanding our partnership with Palantir, with whom we share common values of relentlessly pursuing technological innovation and the desire to continually improve,” said Mattia Binotto, Team Principal and Managing Director for Scuderia Ferrari. “Data analysis plays a vital role in Formula 1 and being able to count on an excellent partner such as Palantir can make all the difference. Tasks that just a few years ago would take several minutes of calculation can now be carried out in a few seconds, thanks to solutions that have been in use through this partnership.”

A typical Formula 1 race season can often generate as much as 1.5 trillion data points. This information needs to be quickly integrated and tested to confirm hypotheses for the team to make adjustments during the race itself in response to component performance, track conditions, weather, maintenance requirements, and potential part failures.

“Scuderia Ferrari and Palantir share a commitment to operational excellence. What they have accomplished as a company and a team is legendary,” said Palantir Executive Josh Harris. “We look forward to continuing to work alongside Scuderia Ferrari, one of the most successful teams in the history of Formula 1 racing.”

As part of the partnership, the Palantir brand will be featured on the Scuderia Ferrari Formula 1 race cars and on Charles Leclerc and Carlos Sainz’s driver racesuits.

About Palantir Technologies
Palantir Technologies is a technology company that builds enterprise data platforms for use by organizations with complex and sensitive data environments. From building safer cars and planes, to discovering new drugs and combating terrorism, Palantir helps customers across the public, private, and nonprofit sectors transform the way they use their data.

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Project data analytics uses past and current project data to enable effective decisions on project delivery. All projects create data and this can be used to help project managers make choices about current and future projects. Project data analysis is all about being inquisitive and asking questions to find information but we must also interpret data in a meaningful way.


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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. As the rise of data ecosystems are met with privacy, trust and interoperability challenges, Fluree is uniquely poised to become the infrastructure of choice in the emerging Web3 market,” said Dan Malven, Managing Director at 4490 Ventures. Surge in Developer Adoption: 500% Growth in 2021 Fluree’s open source technology grew 500% in users in 2021, topping 100,000 total downloads to date as it becomes the technology of choice for privacy-preserving data ecosystems. Key use cases in verifiable credentials, education technology, enterprise knowledge graphs, and blockchain applications continue to emerge. Fluree’s recently overhauled developer portal and growing Slack community accommodates the influx in developer adoption, prioritizing the Fluree developer experience and community. Fluree’s rise in both developer adoption and strategic partners has been recognized, winning local awards such as Tech Tribune’s Best Tech Startup in Winston-Salem to being recognized as CRN’s Coolest Database System Company of 2021 as well as a winner of Business Intelligence Group’s Fortress Cyber Security Award. Digital Privacy and Verifiable Credentials for the Public Sector, Supporting Education and Health Care Improvements Verifiable credentials and decentralized identifiers have become a central theme in rising Fluree use cases across education ecosystems and healthcare. As the world begins to understand the value of privacy in digital ecosystems, organizations have chosen Fluree to power solutions that return ownership of information to consumers. 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

GoodData Adds Advanced Analytics to the Freshworks Marketplace

GoodData | January 06, 2022

GoodData, the leader in data and analytics infrastructure, today announced its new app on the Freshworks Marketplace to provide a powerful and scalable solution designed to accelerate the use and application of analytics for Freshworks customers. The Freshworks Marketplace hosts apps built by the Freshworks developer community. These apps make use of Freshworks products and partner solutions to create delightful experiences for businesses. The marketplace enables partners to reach Freshworks customers and serve them jointly. Freshworks Inc., (NASDAQ: FRSH) is a leading software company empowering businesses to delight its customers and employees. With the demand for cloud-native solutions and easy-to-use analytics on the rise, large companies with enterprise-grade data need vendors to provide analytics within their existing architecture. With the integration of GoodData’s analytics tool into its marketplace, Freshworks now provides enterprises with more options to unlock rich insights from within their data. Additionally, Freshworks can tap into GoodData's extensive experience powering analytics innovation in the Customer Experience Management (CX) space. The integration between GoodData and Freshworks will help provide valuable analytics for customer support teams to better understand the strong and weak points of their customer facing team and help to better customer experiences. “For data leaders to meet the challenges of today’s hyper-competitive market, they have to reinvent the way they think about and utilize data at every layer of their organization. Freshworks recognized the need for its marketplace to offer an analytics platform that tells a customer-centric, accessible story with data, and our solutions make it possible for Freshworks to implement immediately and scale​​. This app will make it easy for enterprises to understand and benefit from modern analytics, and it’s just the beginning of a fruitful partnership between our two cloud-first companies. We are excited to collaborate with Freshworks.” GoodData founding CEO Roman Stanek Freshworks helps some of the largest, industry-leading companies in the world — ranging from healthcare to financial services, and more — realize value from their software. Already providing customers with low-code development and ​​custom apps within their marketplace to extend their product capabilities at scale, Freshworks now partners with GoodData to provide customers with more options to unlock their inherent value of data as a strategic asset. “Analytics is a key part of improving user experience for any technology. As we continue to grow, we need an ISV partner who not only understands our business model but also one that could purpose-build apps for the modern business software users,” said Hérve Danzelaud, VP of Global Partnerships at Freshworks. “GoodData’s state-of-the-art analytics stack is the perfect tool to quickly bring nearly real-time analytics into our current offerings and helps enterprises to access vital insights in this new age of data.” The marketplace app is the first step in an ongoing partnership between GoodData and Freshworks, and the companies will continue to work together to provide actionable and easy to use analytics to Freshworks customers. The partnership will expand Freshworks’ offering with advanced analytics and business insights. About GoodData GoodData is on a mission to break data silos. Real-time, open, secure, and scalable, GoodData’s leading composable data and analytics platform provides a single source of truth across organizations and to their customers. To this day, GoodData has helped more than 140,000 of the world’s top businesses deliver on their analytics goals and scale their use cases — from self-service and embeddable analytics, to machine learning and IoT.

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BIG DATA MANAGEMENT

ListenFirst Announces BI Connector For Tableau

ListenFirst | January 13, 2022

ListenFirst, the premier enterprise social analytics solution, today announced the launch of BI Connector for Tableau, providing their customers with an interface to connect directly to the ListenFirst API and access data on-demand within their Tableau dashboard. This new feature introduces codeless integration and enables ListenFirst customers to tell a multitude of stories by manipulating and layering different insights within Tableau's 24 visualization types and reporting customizations. Available in Tableau's app directory, ListenFirst's BI Connector for Tableau creates a quicker, more seamless way to get bulk selection of data without needing frontend access. Reporting cycles are readily available in Tableau by utilizing dynamic date ranges to automatically refresh the latest insights in the desired date range and parameters. "More than half of ListenFirst API customers use Tableau, and BI Connector For Tableau creates a quick path to insights for these data power users," explained Jimmy Li, Product Manager at ListenFirst. "Users can now effortlessly conduct cross data source analysis, on-demand reporting, advanced charting, and data visualization. Additionally, insights can be published side by side with other data points from non-ListenFirst sources, simplifying complex stories into insights that are instantly understandable." Optimized for self service, BI Connector for Tableau supports flexible data queries for brand, content and paid level datasets. About ListenFirst ListenFirst is the premier social analytics solution used by the world's leading brands. With a breadth of data and award-winning expertise unmatched in the market, we offer an easy, one-stop solution to optimize social media marketing and maximize ROI. ListenFirst has been honored with multiple accolades including a 2020 SIIA CODiE Award for Best Emerging Technology, 2020 Cynopsis AdTech Award for Outstanding Data Solution, 2022 High Performer recognition from G2 Crowd, MarTech Breakthrough Award for Best Social Media Monitoring Software, and named one of Inc. 500's fastest growing companies. Founded in 2012, ListenFirst is trusted by leading global brands including AT&T, Amazon, NBCUniversal, and Peloton.

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BUSINESS INTELLIGENCE

Domo Launches Data Apps to Fill the Gaps of Traditional BI and Analytics

Domo | March 24, 2022

Today Domo announced Data Apps, new low-code data tools for everyone across an organization, designed to bring the benefit of data-driven decisions and actions to those who are underserved by traditional business intelligence (BI) and analytics. A Data App, which combines data, analytics and workflows, is experienced as a personalized standalone experience on a mobile device or embedded into existing apps and processes where work is already happening. Unlike traditional BI, which is designed for executives, managers and data analysts and requires a level of data literacy to interpret and apply insights, Data Apps are designed for any role in an organization and are built so any person can be guided by data to the optimal decisions and actions for achieving specific business outcomes. For example, an employee on the manufacturing floor can leverage a Data App on a work tablet to ensure the company’s quality and safety goals are met throughout their role in the production process. Or a shift manager in a coffee shop can get real-time insights on their phone into customer satisfaction scores and make necessary adjustments on-the-fly to improve the customer experience. The continued push for digital transformation across all areas of business is highlighting the urgent need for new data tools. Despite all the modernization efforts around business intelligence, data is still not being effectively leveraged in most organizations. In fact, no more than 20% of enterprise decision-makers who could be using business intelligence (BI) applications hands on are doing so. The other 80% still rely on the data and analytics skills of those 20% who do use BI applications, according to The Future of BI, Forrester Research Inc., February 23, 2022. And recent research sponsored by Domo showed the lack of proper tools is one of the key barriers that keeps organizations from using data more holistically. “It is time for organizations to move beyond thinking of data as charts and graphs and towards adopting customized intelligent apps that not only deliver insights but drive action and support the needs of workers right where the work gets done. Our focus with Data Apps is supporting the white spaces in organizations where traditional BI and enterprise software applications like CRM and ERP have traditionally not reached. We’re making it easy for customers to put data to work for everyone by leveraging Domo as a low-code data app platform to build apps and improve business processes and outcomes everywhere work gets done.” John Mellor, Domo CEO “Organizations face challenges in finding an approach to Data Apps that enables digital transformation. They seek solutions that allow organizations to easily compile, aggregate and share data across trusted networks - both inside and outside organizations, while giving each team member personalized data and automation needed for the business to move forward with more agility,” said R “Ray" Wang, founder and principal analyst, Constellation Research, Inc. Because of Domo’s robust data integration capabilities with more than 1,000+ native connectors built and managed by Domo, Data Apps can easily leverage data from existing systems – regardless of where data lives whether it be in a cloud data warehouse or data lake, or a core application like SAP, Salesforce or NetSuite. As a result, Data Apps are designed to deliver business value at record speed and scale, and what used to take weeks and months, now takes hours or days. “For decades analytics tools have been focused on solving the wrong problem. There will always be a place for ad hoc analyses, but organizations can better meet their day-to-day analytic needs with more directed, purpose-built analytical applications that are embedded into operational processes for line-of-business personnel - whether they be store managers, stock room team members or customer service representatives,” said David Menninger, senior vice president and research director, Ventana Research. “Using a platform like Domo’s to develop and distribute analytics apps helps eliminate time-consuming tasks such as data integration and management, allowing organizations to be more agile and responsive to existing business requirements and new market requirements as they arise.” As part of today’s announcement, Domo launched four solution accelerators, highly configurable Data Apps designed to support common business processes that have not been solved with traditional BI or enterprise software. These accelerators leverage the full capabilities of the Domo platform for data integration, analytics and distribution and are specifically for customers in retail, CPG and financial services. These first four solutions are as follows: Retail Store Performance and Operations – designed as a mobile app for executives, ops leaders, field and store employees to create the best customer experiences and drive sales and margin performance in the stores Retail-Vendor Brand Performance & Insight Sharing – designed for real-time collaboration around point-of-sale data, inventory and market data to help retailers and their vendor partners profitably grow their respective businesses Supply Chain Collaboration and Operations – a cross-functional supply chain problem solving tool that allows manufacturing, retail and logistics people to collaborate to improve supply chain visibility and efficiency to minimize cost Banking Customer Profitability and Behavior Analytics – designed to give financial services organizations such as banks, credit unions and mortgage companies near real-time insight into customer preferences so they can drive more valuable, longer-term relationships with customers Additional Announcements Domo also announced today new updates to the Domo platform that allow customers to leverage data at speed and scale. These announcements include new multi-cloud enhancements, a new governance toolkit, new integrations with Microsoft Office Suite and Teams, and more. About Domo Domo transforms business by putting data to work for everyone. Domo’s low-code data app platform goes beyond traditional business intelligence and analytics to enable anyone to create data apps to power any action in their business, right where work gets done. With Domo’s fully integrated cloud-native platform, critical business processes can now be optimized in days instead of months or more.

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Spotlight

Project data analytics uses past and current project data to enable effective decisions on project delivery. All projects create data and this can be used to help project managers make choices about current and future projects. Project data analysis is all about being inquisitive and asking questions to find information but we must also interpret data in a meaningful way.

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