insideBIGDATA Latest News – 9/21/2021

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In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Instaclustr Announces General Availability of Fully Managed Apache Cassandra 4.0

Instaclustr, delivering reliability at scale through its fully managed platform for open source data technologies, announced the general availability of Apache Cassandra 4.0 on its Managed Platform. Instaclustr offers Cassandra as its flagship NoSQL database solution, alongside complementary solutions that include Apache Kafka, the Open Distro for Elasticsearch, PostgreSQL, and Redis.

“Cassandra is the first technology Instaclustr offered as a managed service, and we continue to see just how instrumental it is to our customers’ digital transformation and cloud modernization initiatives,” said Ben Bromhead, Chief Technology Officer, Instaclustr. “With 4.0, we are able to bring the most performant version to our existing customers, and do so offering Cassandra’s fully open source version for maximum cost efficiency and data portability.”

Nutanix Cloud Platform to Deliver Strengthened Data Services for Unstructured and Structured Data

Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, announced new capabilities in the Nutanix® Cloud Platform that make it easier for customers to simplify data management, and optimize database and big data workload performance for the most critical applications. The Nutanix Cloud Platform will deliver unstructured data tiering from on-premises to cloud, up to a 2x storage performance increase for database workloads and 3x for big data workloads without requiring complex reconfiguration, as well as Nutanix Data Lens™, a new unstructured data governance service. In addition, database service Nutanix Era™ now delivers one-click storage scaling and rich role based access control for database management across hybrid multicloud environments for database engines like PostgreSQL®, MySQL®, Microsoft® SQL Server, and Oracle® Database.

“Customers require a variety of ways to store data一both structured and unstructured一and are looking for ways to simplify management without needing to rely on different vendors to do so,” said Rajiv Mirani, Chief Technology Officer at Nutanix. “The new features in the Nutanix Cloud Platform extend our data centric innovation to high performance applications to deliver a unified platform with comprehensive data services for all workloads and all variety of data.”

SnapLogic Flows Brings Self-Service, No-Code Integration and Automation to Every Business User

SnapLogic, provider of the Hybrid Intelligent Integration Platform, released the latest version of its breakthrough new SnapLogic Flows solution. SnapLogic Flows makes it easy for teams in departments such as sales, marketing, finance, and HR to build new integrations and automations themselves that support their daily operations, solve their most pressing business needs, and speed up time-to-market and results.

“Business users want self-service tools to get their hands on timely critical data and be able to act fast to deliver results. Our new Flows capability empowers these business users to build what they need to succeed without ever needing to learn how to code, or having to wait until IT has the time to assist,” said Mark Gibbs, VP of Product Management at SnapLogic. “It is also important to ensure that companies embracing a no-code approach do not lose control and oversight of what is created. Flows meets the needs of both groups through a federated approach, with business teams being able to create their own integrations and automations, and IT retaining visibility and governance.”

Explorium Launches “Explorium Starters” to Help Businesses Start Analytics Programs From Scratch

Explorium, the External Data platform that automatically discovers thousands of relevant data signals and uses them to improve analytics and machine learning, announced the launch of Explorium Starters. Designed for organizations with limited or non-existent data, Explorium Starters instantly generates a targeted dataset that can be used to kick off machine learning, analytics projects or sales and marketing campaigns. Procuring and organizing external data through traditional channels can take months and cost hundreds of thousands of dollars; but Explorium Starters works instantly, and is available through Explorium’s convenient SaaS subscription.

“With Explorium Starters, we’ve further broken down the barrier of entry to machine learning and analytics by providing instant access to relevant datasets,” said Omer Har, Co-Founder and CTO of Explorium. “Whether you have your own internal data or not, the new capability connects you to a universe of potential prospects, customers and partners. It’s never been easier for organizations — of any size and in any vertical — to launch analytics programs that unveil new opportunities and increase revenue.”

Cirrascale Cloud Services® and Cerebras Systems Announce Availability of Cerebras Cloud @ Cirrascale for Unparalleled Artificial Intelligence Performance

Cirrascale Cloud Services®, a provider of deep learning infrastructure solutions for autonomous vehicle, Natural Language Processing (NLP) and computer vision workflows, announced the availability of its Cerebras Cloud @ Cirrascale platform. Delivering fast and flexible training with easy programming using standard ML frameworks and Cerebras’ software, the Cerebras Cloud @ Cirrascale brings the industry-leading performance of Cerebras’ Wafer-Scale Engine (WSE-2) deep learning processor to more users through Cirrascale’s proven scalable and accessible cloud service.

“Cirrascale is thrilled to bring Cerebras’ world-class artificial intelligence (AI) compute power to the cloud – we are truly democratizing AI by broadening deep learning access and enabling large-scale commercial deployments across leading Fortune 500 customers, research organizations and innovative startups,” said PJ Go, CEO, Cirrascale Cloud Services. “The Cerebras Cloud @ Cirrascale will advance the future of deep learning and greatly accelerate the performance of AI workloads, all through a single device that is easy to use and simple to deploy.”

Domino Data Lab Upgrades Enterprise MLOps Platform to Support Model Monitoring at 100x Scale Across all Major Public Clouds

Domino Data Lab, provider of a leading Enterprise MLOps platform trusted by over 20% of the Fortune 100, announced a major upgrade to its model monitoring capabilities so companies can place greater trust in the models they deploy. This and other enhancements — including Domino Model Monitor (DMM) support for AWS, GCP, and Azure — are part of Domino 4.6, available today.

New in this release, DMM can automatically compute data drift and model quality across billions of daily predictions, more than 100x the scale of previous versions. This is made possible by the new Domino Elastic Monitoring Engine, a groundbreaking technology advancement that scales model monitoring capacity infinitely to support the most demanding monitoring requirements. Customers gain broad visibility and control across a limitless number of models with hundreds or even thousands of features to help them avoid unwanted outcomes across their business.

“Successful model-driven businesses have thousands of models driving critical business processes,” said Nick Elprin, co-founder and CEO of Domino Data Lab. “By helping our customers detect drift faster and across more of their models, Domino is reducing risk while freeing up data scientists’ time for new research.”

DDN and Tintri Launch IntelliFlash High Performance Enterprise NVMe and Hybrid Storage with Built-In AI and Multiprotocol Data Services

DDN®, a leader in artificial intelligence (AI) and multicloud data management solutions, and Tintri, a DDN company and a leader in Intelligent Infrastructure solutions, today announced the IntelliFlash® N6000 series. This next-generation NVMe-based system optimizes the user experience across all workloads by delivering outstanding performance, eliminating IO contention and enhancing IT efficiencies with autonomous AI-driven operations. DDN and Tintri also introduced higher-capacity IntelliFlash H6000 series hybrid systems that easily scale to multiple petabytes, so customers can flexibly combine both primary and secondary storage – NVMe performance and hybrid cost-efficiency – within a single appliance.

“With the new IntelliFlash N6000 series and enhanced H6000 series, we are strengthening Intelligent Infrastructure and advanced data management services for at-scale as well as enterprise customers,” said Dr. James Coomer, senior VP of products, DDN. “As customer needs evolve, the IntelliFlash platform adapts to match application demand and business priorities with its agile storage approach, whether in all-flash or hybrid environments.”

Diffusion 6.7 – Introduces Secure Personalized Data Delivery to Individual Clients

Push Technology, the pioneer and leader in real-time data streaming and messaging solutions, announced powerful new personalized client data delivery capability in the company’s Diffusion Intelligent Event-Data Platform, that consumes, enriches, and delivers data among applications, systems, and devices. This announcement ups the competitive game stakes for other messaging and event broker vendors such as Kafka, Tibco, and Informatica.

“We are delighted with the reception our platform continues to receive as we expand our Diffusion platform’s powerful, intelligent data management capabilities, in lock-step with the needs of companies working around the globe on their digital transformation imperatives,” said Sean Bowen, CEO of Push Technology.

Planful Announces Newest Addition to Predict Suite of Native AI/ML Applications, Predict: Projections 

Planful Inc., the pioneer of end-to-end financial close, consolidation, and financial planning & analysis (FP&A) cloud software, announced a significant expansion of its Planful Predict suite of native artificial intelligence and machine learning (AI/ML) products, designed specifically for complex financial data. 

“Our mission is to give our customers the best specialized AI/ML technology on the market, but in a frictionless way–no data scientists; no third party tools; and no moving data between systems,” said Planful’s Chief Technical Officer Sanjay Vyas. “Financial data is far more complex than operational data, rendering off-the-shelf AI/ML tools unsuitable. This is why we’ve used our expertise working with financial data to build our own proprietary data science capabilities natively in our platform. The feedback from early customer adoption is exciting.”

Quantum Computing Inc. Empowers Partners to Gain Competitive Leadership in Quantum Computing

Quantum Computing Inc. (Nasdaq: QUBT) announced the QCI Partner Program, giving partners first mover advantage by offering a low risk, high reward path to utilize quantum computing to solve critical optimization problems for their customers. With QCI and Qatalyst™, program partners offer a seamless bridge to unleash the power of quantum technology for government and business sectors to propel customer value, as they fuel their own financial results.

“Our partner program dramatically expands our reach and range to customers who are ready to explore the value of quantum computing for their business advantage,” said Robert Liscouski, QCI’s CEO. “Working with partners who are actively exploring quantum computing with their own customers accelerates the growth of Qatalyst’s user base, even as we offer customers a simpler, lower risk and faster path to quantum value. We look forward to working with recognized expert partners such as Setmovision and their clients, and look forward to the innovations that will result.”

DataRobot Propels Intelligent Business Forward with Launch of “DataRobot AI Cloud”

DataRobot unveiled DataRobot AI Cloud, a unified environment built for the next generation of intelligent business. DataRobot AI Cloud serves as a single platform to accelerate delivery of AI to production for every organization. DataRobot also announced new features and capabilities for DataRobot AI Cloud to enhance operations in production and easily build AI-powered applications to deliver critical business insights.

“Artificial intelligence will reshape every industry, every business service, every customer interaction,” said Dan Wright, CEO of DataRobot. “DataRobot AI Cloud captures insights and learnings from years of technological innovation and partnering closely with our customers, enabling users of all skill sets to deliver more models, faster, and drive unprecedented business value with AI.”

Onit Releases InvoiceAI, Bringing Artificial Intelligence and Machine Learning to Legal Invoice Review

Onit, Inc., a leading provider of enterprise workflow and artificial intelligence platforms and solutions, including enterprise legal management, contract lifecycle management and business process automation, announced the general availability of InvoiceAI. InvoiceAI uses artificial intelligence to help corporate legal departments increase potential savings and reduce time reviewing invoices from outside counsel and legal vendors.

“In all of my decades working with corporate legal departments, I’ve rarely heard in-house counsel say they enjoy invoice review. It’s tedious, time-consuming and an area perfectly suited for AI transformation,” said Eric M. Elfman, CEO and co-founder of Onit. “InvoiceAI combs through data for potentially noncompliant charges and integrates with billing rules for corrective action. As a result, some customers are discovering up to 20% in savings. And, more importantly, it makes invoice review easier and quicker for today’s busy law departments.”

vidIQ Launches ‘Daily Ideas’ for Video Content Creators

Tech company vidIQ announced the introduction of a new AI-driven tool for video creators – Daily Ideas. Developed for content creators looking for inspiration in today’s always-on video culture, Daily Ideas uses machine learning to surface the most relevant creative opportunities that will resonate with a specific creators’ audience. The tool gets smarter day by day, so the more it’s used, the more valuable it becomes to that creator. 

“Combining a creator’s creative juices with AI is the future. Our business is built on the belief that innovation results when humans and machines work together,” said vidIQ CEO Rob Sandie. “We knew that to help creators rise to the challenge of producing fresh videos, we had to enhance their unique creativity. Daily Ideas does that, igniting new ideas by combining amazing creators with an amazing algorithm.”

Aiven launches Aiven Operator for Kubernetes, enabling easier deployment of Aiven services using Kubernetes native tools 

Aiven, a leading technology company combining the best open source technologies with cloud infrastructure, announced the release of Aiven Operator for Kubernetes, enabling smoother management of Aiven services while using Kubernetes native tools. With the release of the Aiven Operator for Kubernetes, customers can now connect any containerized application running on Kubernetes directly into the Aiven platform. Aiven Operator for Kubernetes is currently available for Aiven for Kafka and Aiven for PostgreSQL. 

“We are constantly looking for ways to simplify usage of Aiven services for our customers by finding new ways to integrate with their existing tooling,” said Hannu Valtonen, chief product officer at Aiven. “Aiven now supports two of the most popular next-gen configuration and orchestration systems — Terraform and Kubernetes. This latest offering shows our commitment to developing the tools that our customers need the most to enable them to better utilize their technology and grow their businesses.”

Pinecone 2.0 Launches to Take Vector Search From Lab into Production

Pinecone Systems Inc., a machine learning (ML) cloud infrastructure company, announced Pinecone 2.0 to combine the power of vector search with traditional metadata storage and filtering. Together with the other new features introduced, including hybrid memory/disk storage, Pinecone 2.0 provides granular search control, ultra-low latencies, and up to a 10x infrastructure cost reduction, making it viable for companies to replace their common keyword-based search and recommendation systems with Deep Learning powered vector search.

Deep Learning (DL), as part of Machine Learning (ML), represents everything as vectors, from documents to videos, to user behavior. This representation makes it possible to find more relevant information from large amounts of data than traditional text-based or rule-based retrieval. Vector search already powers the retrieval and recommendation systems inside tech giants such as Google, Spotify, Facebook, Amazon, Netflix, Pinterest as well as other products/services known for the quality of their search results and recommendations.

“The worlds of search and databases have been fundamentally changed by machine learning and deep learning,” said Edo Liberty, Founder and CEO of Pinecone. “Companies are looking at the hyperscalers and waking up to the value of vector search. Pinecone 2.0 will help them realize that value at a fraction of the cost and effort.”

Yugabyte Delivers Effortless Distributed SQL with Cloud Database-as-a-Service

Yugabyte, a leader in open source distributed SQL databases, announced the general availability of Yugabyte Cloud, Yugabyte’s public database-as-a-service offering. Yugabyte Cloud, a fully managed offering of YugabyteDB, combines the power of distributed SQL with the ease of use of a cloud database service. Developers can create and connect to a highly scalable, resilient Postgres compatible database in minutes with zero operational overhead.

“YugabyteDB is the database of choice for organizations building cloud native microservices that demand highly scalable and resilient systems of record,” said Karthik Ranganathan, co-founder and CTO of Yugabyte. “YugabyteDB is feature-compatible with Postgres, allowing developers to easily start using the database with no changes to code or tooling. And now, Yugabyte Cloud makes distributed SQL effortless, allowing developers to focus on the application instead of the database.”

Confluent Announces Stream Governance, the Industry’s First Governance Suite for Data in Motion

Confluent, Inc. (NASDAQ: CFLT), the platform to set data in motion, unveiled a new governance suite for streaming data. Offered as a fully managed cloud solution, Stream Governance delivers a simple, self-service experience to discover, understand, and trust the real-time data that flows throughout modern businesses. Distributed teams now have quick, easy access to the data that’s critical to developing more real-time applications and business operations, all while maintaining data security and privacy. This provides organizations with a safe way to expand the use of data in motion and create a central nervous system that ties together disparate applications and systems. With streaming data available to more people, teams can unlock entirely new use cases that drive differentiation and exceed customer demands.

“Data in motion is becoming the key platform for companies looking to unlock their data,” said Jay Kreps, Co-founder and CEO, Confluent. “But to truly unlock data, it isn’t enough to make it accessible. You need to also ensure it is correct, compliant, and discoverable. With Stream Governance, we make the governance of streaming data easy and integrated so customers can ensure that their data is a solid foundation for their next generation digital initiatives.”

Materialize Brings Standard SQL to Streaming with Cloud Product Launch

Materialize, the streaming SQL database company, launched the open beta for Materialize Cloud, which offers the first standard SQL interface for streaming data. Materialize Cloud makes it simple for any business to understand streaming data, answer complex questions and build intelligent applications without needing specialized skills. 

Traditionally, making use of streaming data has required heavy investments in engineering resources that have made the move to real-time infrastructure off limits for many organizations. Materialize Cloud now makes it easy for companies of any size to incorporate streaming data into their applications. Unlike competing products that require customers to learn new languages, Materialize Cloud is based on industry-standard SQL, and is easy to set up, scale and begin using “out of the box.” 

“The ability to use real-time data for insights and value will determine which companies lead their industries in the years ahead,” said Arjun Narayan, co-founder and CEO of Materialize. “For Materialize, the main motivation behind the product is streaming data. Our team has been studying this topic for decades and we are especially proficient at providing streaming services to our customers.” 

SafeRide Unveils vInsight™ Fleet – a Deep Learning Data Analytics Solution for Commercial Fleets

SafeRide Technologies, a leading provider of AI-based vehicle health management (VHM), data analytics, and cybersecurity solutions unveiled vInsight™ Fleet — an AI-based data analytics solution for commercial fleets. vInsight Fleet is a new addition to SafeRide’s VHM platform. The vInsight platform also includes the vInsight™ Developer tool, which enables customers to create AI-based VHM algorithms, and the vInsight™ Edge embedded inferencing engine, which enables efficient execution of vehicle health monitors onboard the vehicle.

”Traffilog’s advanced telematics and data acquisition capabilities provide access to valuable vehicle data”, said Yossi Vardi, SafeRide’s CEO and Co-Founder. “Integrating SafeRide’s deep learning and big data analytics technology together with Traffilog’s platform enables us to deliver best-in-class diagnostics and predictive maintenance services to commercial fleets worldwide.”

Octopai Introduces New Data Catalog Designed for a Hybrid World to Unify Business Intelligence Teams Across Organizations

Octopai, a leader in metadata management automation, announced that they are introducing a new automated data catalog, designed for the hybrid world, to unify data citizens across any organization. The catalog is fully integrated with the complete multidimensional data lineage platform. Octopai’s new data catalog self-creates and self-updates to create consistency for business and technical teams and is easy to implement and maintain in a sometimes remote, always complex, and multi-layered BI environment.

“Adopting automated solutions to create efficiency and optimize the data use and traceability process is a crucial step for any company modernizing their data environment,” says Gal Ziton, Co-Founder and Head of Product of Octopai. “Octopai is enabling organizations to maximize their value from data by offering our customers the most innovative, comprehensive, and multidimensional data lineage and data catalog solutions on the market today.”

IBM Watson Launches New AI and Automation Features to Help Businesses Transform Customer Service

IBM (NYSE: IBM) announced the launch of new AI and automation capabilities in IBM Watson Assistant designed to make it easier for businesses to create enhanced customer service experiences across any channel – phone, web, SMS and any messaging platform. This includes a new collaboration with IntelePeer, a leading Communications Platform-as-a-Service provider, to set up and test a voice agent within minutes, and a new Agent App designed to enable a seamless hand-off to a live agent while maintaining the conversation’s context.

“One critical challenge facing nearly every business today is the need to better communicate with their customers and employees across all channels,” said Daniel Hernandez, General Manager of Data and AI, IBM. “We’re continuously delivering new innovations in natural language processing and automation, and building a strong, open ecosystem with partners like IntelePeer to help businesses transform customer care with Watson Assistant.”

Med Tech Solutions Announces Powerful and Affordable Business Intelligence Dashboards for Healthcare Practices

Med Tech Solutions (MTS), provider of practice-centered IT solutions for healthcare organizations, has launched MTS Practice Data Analytics visual business intelligence (BI) tools. Practice Data Analytics delivers more than 40 standard BI reports from electronic health record (EHR) data that can be viewed in easily customized dashboards. Clinical, business, and IT practice leaders get intuitive, immediate insights into key performance indicators to guide decision-making and immediately address issues. This enhances the ability for healthcare practices of all kinds to take advantage of MTS’ Practice-Centered Care™ approach to IT.

“Once accessible for only the largest practices, visual business intelligence gives any size practice the actionable insights they need to quickly improve their operations from clinical care to billing and reimbursement,” said Mona Abutaleb, MTS CEO. “Individual dashboards give immediate insight into where potential problems lie and where there are opportunities to contain costs, gain efficiencies, and improve patient outcomes.”

Provectus Advances UI for Apache Kafka Adds New Features for Data Monitoring in v0.2

Provectus, a Silicon Valley artificial intelligence (AI) consultancy, announced the release of UI for Apache Kafka v0.2, with new features including support for switching read direction of topic messages, running KSQL queries directly from UI, and producing messages on Kafka topics. These new features enable developers to efficiently monitor data flows and find and troubleshoot issues in data while delivering optimal performance.

“The release of UI for Apache Kafka v0.2 is a significant milestone for the team,” says German Osin, Senior Solutions Architect at Provectus. “By enhancing the original UI for Apache Kafka, we offer the entire engineering community a robust product with an unparalleled number of mission-critical features for monitoring and management of Apache Kafka clusters. It can be a make-it-or-break-it product for companies dealing with all types of streaming data.”

Lenovo Introduces the Powerful and Flexible ThinkEdge SE70 Edge AI Platform

Lenovo™ introduced the ThinkEdge™ SE70, a powerful and flexible artificial intelligence (AI) edge platform for enterprise. The ThinkEdge SE70 is designed to meet the expanding intelligent transformation needs from logistics, transportation and smart cities to retail, healthcare and manufacturing. The new edge solution from Lenovo is created in cooperation with Amazon Web Services (AWS) leveraging AWS Panorama and is powered by the NVIDIA® Jetson™ Xavier™ NX platform.

“AI applications at the edge have enormous potential for the intelligent transformation of business, like using computer vision to track warehousing and logistics operations or automating manufacturing processes,” said Jon Pershke, Vice President of Strategy and Emerging Business for Lenovo’s Intelligent Devices Group. “The ThinkEdge portfolio is expanding to include the power, performance and flexibility customers need to build next-level edge networks”.

IQVIA Launches New AI-Powered MI Contact Center For Life Sciences 

IQVIA™ (NYSE:IQV), a global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry, announced it has added new AI-powered technologies to enhance its existing Medical Information (MI) Contact Center services. Life science companies use IQVIA’s MI Contact Center services to share information about new products and related therapeutic areas as well as monitor product quality and safety. This is done through teams of skilled agents responding directly to inquiries from consumers, patients, and healthcare professionals (HCPs) around the world. These teams also capture information related to adverse events and other product complaints, routing these through the appropriate compliance processes. 

“Adding new digital capabilities to our existing MI services marks a critical point in the industry as companies seek to balance the delivery of unbiased information to meet the needs of HCPs and patients,” said Annette Williams, vice president, IQVIA Lifecycle Safety. “IQVIA’s Medical Information services integrate across our Safety and Quality offerings, equipping clients with the end-to-end technology and services they need to increase trust, loyalty, and efficiencies for their patients.” 

Run:AI launches ResearcherUI, announces support for Kubeflow, Apache Airflow, and MLflow

Run:AI, a leading compute management platform for the orchestration and acceleration of AI, announced the launch of a new ResearcherUI, as well as integration with machine learning  tools including Kubeflow, MLflow and Apache Airflow. The new UI option is a part of Run:AI’s “Run:it your way” initiative, enabling data scientists to choose their preferred ML tools that manage modeling and other data science processes on top of Run:AI’s compute orchestration platform.

“Some data scientists like Kubeflow; some prefer MLFlow; some would rather use YAML files. We even heard of a Fortune 500 company that uses 50 different data science tools. With Run:AI, there’s no need to force all data science teams to use a specific ML tool in order to take advantage of the Run:AI GPU orchestration platform,” said Omri Geller, CEO of Run:AI. Instead, each team can “Run:it their way”, sharing pooled, dynamic GPU resources while using the best ML tools to match the company’s data science workflow.”

Outlier AI Enables Businesses to More Easily Track and Improve their Most Critical KPIs

Outlier AI, a leading automated business analysis (ABA) platform, released new features that significantly enhance the ability for companies to discover and address emerging trends and developments in their business data. With the new Outlier feed experience, companies are quickly notified of changes to key KPIs that measure the performance of their marketing programs, supply chain or business operations – enabling them to adjust and adapt to changes in their business with increased speed and accuracy.

Outlier monitors data and automatically performs dozens of forms of analysis using artificial intelligence and machine learning. Outlier alerts customers daily of important and unexpected changes in their business data and guides non-technical users through further investigation so they know exactly how their business is changing every day. The platform’s simple “data stories” include contextual information on changes, related data and potential business impact, as well as possible causes. Using Outlier, companies begin to understand what is truly impacting their business so they can make more strategic data-driven decisions.

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