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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DATA ARCHITECTURE

Databricks Launches Data Lakehouse for Retail and Consumer Goods Customers

Databricks | January 14, 2022

Databricks, the Data and AI company and pioneer of the data lakehouse architecture, today announced the Databricks Lakehouse for Retail, the company's first industry-specific data lakehouse for retailers and consumer goods (CG) customers. With Databricks' Lakehouse for Retail, data teams are enabled with a centralized data and AI platform that is tailored to help solve the most critical data challenges that retailers, partners, and their suppliers are facing. Early adopters of Databricks' Lakehouse for Retail include industry-leading customers and partners like Walgreens, Columbia, H&M Group, Reckitt, Restaurant Brands International, 84.51°(a subsidiary of Kroger Co.), Co-Op Food, Gousto, Acosta and more. "As the retail and healthcare industries continue to undergo transformative change, Walgreens has embraced a modern, collaborative data platform that provides a competitive edge to the business and, most importantly, equips our pharmacists and technicians with timely, accurate patient insights for better healthcare outcomes," said Luigi Guadagno, Vice President, Pharmacy and HealthCare Platform Technology at Walgreens. "With hundreds of millions of prescriptions processed by Walgreens each year, Databricks' Lakehouse for Retail allows us to unify all of this data and store it in one place for a full range of analytics and ML workloads. By eliminating complex and costly legacy data silos, we've enabled cross-domain collaboration with an intelligent, unified data platform that gives us the flexibility to adapt, scale and better serve our customers and patients." "Databricks has always innovated on behalf of our customers and the vision of lakehouse helps solve many of the challenges retail organizations have told us they're facing," said Ali Ghodsi, CEO and Co-Founder at Databricks. "This is an important milestone on our journey to help organizations operate in real-time, deliver more accurate analysis, and leverage all of their customer data to uncover valuable insights. Lakehouse for Retail will empower data-driven collaboration and sharing across businesses and partners in the retail industry." Databricks' Lakehouse for Retail delivers an open, flexible data platform, data collaboration and sharing, and a collection of powerful tools and partners for the retail and consumer goods industries. Designed to jumpstart the analytics process, new Lakehouse for Retail Solution Accelerators offer a blueprint of data analytics and machine learning use cases and best practices to save weeks or months of development time for an organization's data engineers and data scientists. Popular solution accelerators for Databricks' Lakehouse for Retail customers include: Real-time Streaming Data Ingestion: Power real-time decisions critical to winning in omnichannel retail with point-of-sale, mobile application, inventory and fulfillment data. Demand forecasting and time-series forecasting: Generate more accurate forecasts in less time with fine-grained demand forecasting to better predict demand for all items and stores. ML-powered recommendation engines: Specific recommendations models for every stage of the buyer journey - including neural network, collaborative filtering, content-based recommendations and more - enable retailers to create a more personalized customer experience. Customer Lifetime Value: Examine customer attrition, better predict behaviors of churn, and segment consumers by lifetime and value with a collection of customer analytics accelerators to help improve decisions on product development and personalized promotions. Additionally, industry-leading Databricks partners like Deloitte and Tredence are driving lakehouse vision and value by delivering pre-built analytics solutions on the lakehouse platform that address real-time customer use cases. Tailor-made for the retail industry, featured partner solutions and platforms include: Deloitte's Trellis solution accelerator for the retail industry is one of many examples of how Deloitte and client partners are adopting the Databricks Lakehouse architecture construct and platform to deliver end-to-end data and AI/ML capabilities in a simple, holistic, and cost-effective way. Trellis provides capabilities that solve retail clients' complex challenges around forecasting, replenishment, procurement, pricing, and promotion services. Deloitte has leveraged their deep industry and client expertise to build an integrated, secured, and multi-cloud ready "as-a-service" solution accelerator on top of Databricks' Lakehouse platform that can be rapidly customized as appropriate based on client's unique needs. Trellis has proven to be a game-changer for our joint clients as it allows them to focus on the critical shifts occurring both on the demand and supply side with the ability to assess recommendations, associated impact, and insights in real-time that result in significant improvement to both topline and bottom line numbers. Tredence will meet the explosive enterprise Data, AI & ML demand and deliver real-time transformative industry value for their business by delivering solutions for Lakehouse for Retail. The partnership first launched the On-Shelf Availability Solution (OSA) accelerator in August 2021, combining Databricks' data processing capability and Tredence's AI/ML expertise to enable Retail, CPG & Manufacturers to solve their trillion dollar out-of-stock challenge. Now with Lakehouse for Retail, Tredence and Databricks will jointly expand the portfolio of industry solutions to address other customer challenges and drive global scale together. About Databricks Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems.

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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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DATA SCIENCE

CompleteCSM Launches First Customer Intelligence Cloud for Customer Success Operations and Data Science Teams

CompleteCSM | May 16, 2022

CompleteCSM, Inc., a rapidly growing software company that democratizes Customer Success Intelligence, announced the release of its new Customer Intelligence Cloud, just in time for the TSIA world: Interact conference in Orlando, Florida. The new solution provides Customer Success teams with greater access to the customer intent data from the conversations between people tucked away within their various data silos and is specifically aimed at closing the ‘intent gap’ between a customer’s true opinion of their subscription and the SaaS company's perception in terms of R/Y/G healthThe value of Customer Success is no longer a secret. According to TSIA, 96% of SaaS businesses are deploying some form of customer success team or strategy for retaining and growing their customer base. "Customer Success platforms have become indispensable for managing the customers’ relationship with a company’s product, As good as these platforms have become at tracking and managing customer usage and health, they all potentially leave terabytes of valuable customer data on the floor and out of their calculations that could be used to better predict churn or potential expansion." -Bryan Plaster, co-founder and CEO of CompleteCSM Everyone can have their own Customer Intelligence Cloud Leading Customer Success organizations are deploying data scientists to unlock the meaning behind customer churn, but it’s taking them longer than expected to get ROI. The CompleteCSM Customer Intelligence Cloud collects signals from customer conversations and applies AI/ML to reveal a customer’s intent to expand or renew. The curated results can be delivered both downstream to data platforms like Snowflake or Databricks, and upstream embedded into Customer Success Platforms like Gainsight or Salesforce as embedded applications. Modern customer success teams that manage their own operations now have massive advantage to increase their Net Revenue Retention (NRR) with the following capabilities: API Access: Accessible through Data Science tools like Jupyter notebooks Customer Intent Data: Delivered to data science platforms Intelligent Integrations: Gong, Zoom, Slack Embedded Integrations: Utilizing your existing CRM "Deep sentiment analysis of conversations, far beyond Net Promoter Score (NPS), will be required for modern Customer Success teams to quickly identify wayward customers and course-correct. The consumption economy will largely leave behind the concept of renewals, forcing companies to broaden into a 4D view of customer health and treat it with an even higher degree of urgency." -Dan Steinman, Chief Evangelist at Gainsight sees CompleteCSM’s Customer Intelligence Cloud as a must-have for all software-as-a-service (SaaS) companies Leading SaaS organizations can harness the power of the Customer Intelligence Cloud to know how their customers feel about renewing or expanding their contracts. The Customer Intelligence Cloud aims to accelerate data science teams to faster ROI by providing time series data analytics from all customer conversations, usage, and operational data accessible from an advanced API. Customer Success teams can now broaden and enhance existing Customer Success Platforms such as Gainsight, Salesforce or Hubspot with insights, seamlessly embedding into the tools teams use on a daily basis. Learn more about the Customer Intelligence Cloud and get started today capturing intent data from your customer conversations! About CompleteCSM Dallas-based CompleteCSM makes Customer Success Intelligent by combining conversational AI with intent analytics to help leading businesses turn customer insights into positive outcomes with next best actions delivered to their CRM or Customer Success Platform.

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BIG DATA MANAGEMENT

IBM Watson Advertising Brings AI-Driven Weather Analytics to AWS Data Exchange

IBM Watson | January 10, 2022

IBM Watson Advertising today announced the availability of data from The Weather Company, an IBM Business, on AWS Data Exchange, an Amazon Web Services (AWS) platform. The AWS Data Exchange allows businesses to easily find and subscribe to third-party data in the cloud. Providing data from the world's most accurate weather forecaster1, IBM Watson Advertising's Weather Analytics harness the relationship between weather and consumer behavior using artificial intelligence to extract deep insights to help businesses make more confident, data-driven and insightful enterprise decisions. The weather datasets can help analyze how weather affects consumer purchasing across different categories such as pharmaceuticals, apparel, consumer packaged goods and indoor and outdoor activities. Local data by ZIP code including historical weather data, 15-day forecast weather data, and relative data such as hot, cold, windy and other conditions could also be used to help inform campaigns, supply chain and forecasting decisions. This data can even help surface unique or non-obvious relationships between weather and consumer behavior. "We know that weather can impact nearly everything in daily life -- how we feel, what we do, even what we buy," said Sheri Bachstein, Chief Executive Officer at The Weather Company and General Manager of IBM Watson Advertising. "This expanded relationship with AWS gives more businesses access to the weather data that can drive consumer behavior and purchasing. We are committed to opening up our insights and technology to a broad set of organizations, and giving more companies access to what we know can be growth- and efficiency-driving data and tech." Insights that show locations where weather could affect sales can help businesses drive revenue based on predictive consumer behavior. According to past IBM Watson Advertising research, data revealed that while chocolate candy bar sales generally go up in colder months across the U.S., sales can spike in the Southwest when a higher heat index is expected, and in the Northeast during muggy nights. In another example, while more bug spray is purchased during the summer months, foggy conditions in the Northwest can drive more sales while clear conditions can drive demand in central states. AWS Data Exchange helps make it easy to find, subscribe to, and use third-party data from providers in the cloud. Subscribers can use the AWS console or APIs to load IBM Watson Advertising solutions into a wide variety of AWS analytics and machine learning services. This is the latest example of how IBM is building together with ecosystem partners of all types to create solutions for developers to address the needs of the hybrid cloud era. IBM is committed to a $1 billion investment in its partner ecosystem over the next three years. This investment is already being utilized to support a coalition of enterprises that are helping customers migrate their mission-critical workloads using IBM's open hybrid cloud architecture. About IBM Watson Watson is IBM's AI technology for business, helping organizations to better predict and shape future outcomes, automate complex processes, and optimize employees' time. Watson has evolved from an IBM Research project, to experimentation, to a scaled, open set of products that run anywhere. With more than 40,000 client engagements, Watson is being applied by leading global brands across a variety of industries to transform how people work.

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Where business intelligence provide answers to known questions, big data discovery reveals unknown patterns, relationships and insights in any data. Leveraging the power of Hadoop, Datameer makes it easy for anyone to quickly discover insights in any data, right away.

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