DATA SCIENCE

Cart.com Partners with Snowflake to Enable Enterprise-Scale Data Science and Insights in Ecommerce

Cart.com | March 30, 2022

Cart.com, the first end-to-end ecommerce platform that simplifies scaling for the world's greatest brands, today announced a partnership with Snowflake, the Data Cloud company. Powered by Snowflake, Cart.com's powerful unified analytics tools will allow merchants to connect their entire data universe, seamlessly turning cloud-hosted data into a centralized source of actionable insights.

Cart.com partnered with Snowflake for its unique ability to meet the diverse demands of today's ecommerce merchants and for a shared vision to provide unified visibility into data across the entire ecommerce value chain. Bringing together Cart.com's unified analytics tools with the Snowflake Data Cloud will empower joint customers to leverage innovative machine learning algorithms that streamline decision-making and an advanced AI-driven attribution model that combines storefront, marketing, and clickstream data to help brands understand a channel or campaign's influence on purchase behavior. Cart.com's forecasting model will support profitable inventory management by anticipating SKU-level demand at each fulfillment center.

In addition, as part of the partnership, Cart.com will leverage Snowflake's newly announced Retail Data Cloud, which unites Snowflake's integrated data platform, Snowflake- and partner-delivered solutions, and industry-specific datasets and models.

Powered by Snowflake, Cart.com will provide merchants of all sizes with:

  • Access to unified analytics tools. Cart.com customers can now easily access centralized dashboards that bring together commerce, marketing and cloud-hosted data to unlock data-driven automation and AI-powered analytics across their entire organization
  • Ability to securely unlock diverse datasets while maintaining a single source of truth. By using Cart.com's machine learning and AI-powered tools, customers can unlock the full power of their datasets, while ensuring that their original data remains completely secure, and can't be altered, corrupted, or overwritten.

"Every retailer's goal is to connect with their customers in a more meaningful way in order to get products in their hands and engender loyalty. Together Cart.com and Snowflake bring the power of a single view of ecommerce data to customers, which provides unified visibility and ultimately connects business from end-to-end. Both companies believe that data is the key to allowing retailers to connect with their customers more deeply."

 Rosemary Hua, Global Head of Retail & CPG at Snowflake
 

"At Cart.com, we're democratizing ecommerce by giving customers unified visibility into and control over every aspect of the e-commerce value chain. Working with Snowflake, we're enabling ecommerce businesses to gain seamless access to all their data, across every part of their business, without ever leaving their centralized Cart.com dashboard," said Chase Zieman, Cart.com Chief Data Science Officer. "Ecommerce brands have data in their DNA. Using the combined power of Snowflake and Cart.com, they can now turn that data into actionable insights, creating value at every level of their operations."

About Cart.com
Cart.com is the first end-to-end ecommerce software and service provider built to help Brands find more customers, sell in more places, and deliver their products more easily. Cart.com provides tools that allow for a modular, data-rich, fully integrated approach to scaling up. We are on a mission to put Brands back in charge of their ecommerce journey and in control of their customer relationships. Cart.com exists to help Brands crush scale.

Spotlight

In Hollywood, nothing is more chic than analytics. On TV shows like CSI and in films like Money Ball, the industry’s most iconic stars depend upon data to help solve problems or thwart world destruction. Even superheroes rely on solutions accessed at the touch of a finger on a sleek, glowing screen. The issue isn’t a lack of data; big data is real and getting bigger every day. The crux of the
problem for most people is uncovering the most relevant data when you need it. Today, that often means having to wait on IT, or taking matters into your own hands by manually wrestling with Excel to build massive spreadsheets.


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BIG DATA MANAGEMENT

Promethium Recognized by SIIA as best Data Tools & Platforms

Promethium | June 09, 2022

Promethium, the solution for collaborative data analytics, has been named the best Data Tools & Platforms of 2022 as part of the annual SIIA CODiE Awards. The CODiE Awards recognize the companies producing the most innovative business technology products across the country, and around the world. "Winning this CODiE award for Best Data Tools & Platforms is a great honor," said Promethium CEO and Founder Kaycee Lai. "When I worked as a data analyst the workflows were slow and broken, and they still are today. There wasn't one single solution that made it faster and easier for everyone - technical or not - to leverage data. So we built one. Now the workflow from question to data to answer takes minutes instead of months." Promethium's collaborative data and analytics offers two major advantages. First of all, it's an all-in-one solution. The entire data and analytics workflow can be completed by one person with one solution without long wait times, while also reducing costs. Secondly, it's powerful enough for data engineers, and easy enough for everyone else. Complexity has been eliminated with a no-code user experience and powerful Natural Language Processing automation. Last year Promethium was a CODiE awards finalist for Best Data Tools & Platforms. "Even during these tumultuous times, business application, software, service and product providers continued the industry's long tradition of developing and marketing innovative solutions to meet business needs. "We are proud to recognize this year's class of CODiE Award winners. They truly represent the best of the best in a highly-competitive and ever-evolving market." SIIA President Jeff Joseph The Software & Information Industry Association (SIIA), the principal trade association for the software and digital content industries, announced the full slate of CODiE winners during an online winner announcement June 8 in the metaverse. Acknowledged as the premier awards program for the software and information industries for over 35 years, the SIIA CODiE Awards are produced by the Software & Information Industry Association (SIIA), the principal trade association for the software, education, media and digital content industries. Promethium was honored as one of 46 winners across the 45 business technology categories, including seven leadership categories recognizing outstanding companies, individuals and teams. The SIIA CODiE Awards are the industry's only peer-reviewed awards program. The first-round review of all nominees is conducted by software and business technology experts with considerable industry expertise, including analysts, media, bloggers, bankers and investors. The scores from the expert judge review determine the finalists. SIIA members then vote on the finalist products, and the scores from both rounds are tabulated to select the winners. Forty-three awards were given this year for products and services deployed specifically for B2B software, information and media companies, including the Best Overall Business Technology Product, awarded to the product with the highest scores of both rounds of judging. About the SIIA CODiE™ Awards The SIIA CODiE Awards is the only peer-reviewed program to showcase business and education technology's finest products and services. Since 1986, thousands of products, services and solutions have been recognized for achieving excellence. About Promethium Promethium is the collaborative data and analytics solution used by data-driven enterprises to enable every employee to make data-driven decisions in real time without the technical complexity of data management. With Promethium, users can find data-driven answers by using intuitive natural language search. Unlike other solutions, there are no long implementations because data doesn't need to be moved and is accessed where it is. Connect data sources to Promethium and within minutes users can see results. Answers from data in minutes instead of months.

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DATA SCIENCE

ForMotiv Joins Guidewire Insurtech Vanguards Program to Bring Behavioral Data Science to Guidewire Carriers

ForMotiv | June 13, 2022

ForMotiv, a leading behavioral data science and intent scoring platform, announced that the company has joined Guidewire’s Insurtech Vanguards program, an initiative led by property and casualty (P&C) cloud platform provider Guidewire (NYSE: GWRE), to help insurers learn about the newest insurtechs and how to best leverage them. “We’re excited about this new partnership with Guidewire to continue to expand our reach in insurance,” said Bill Conners, CEO of ForMotiv. “We have worked hard for four-plus years establishing a footprint with leading carriers – and are excited to be a part of Guidewire’s Insurtech Vanguards program.” Insurtech Vanguards is a community of select startups and technology providers that are bringing novel solutions to the P&C industry. As part of the program, Guidewire provides strategic guidance to and advocates for the participating insurtechs, while connecting them with Guidewire’s P&C customers. “ForMotiv’s digital behavioral intelligence solution leverages machine learning to produce data analytics and scoring, enabling insurers to quickly view users’ clickstreams on their apps, which can accelerate underwriting and claims analytics. “We are thrilled to welcome ForMotiv and its innovative technology to our program so our mutual customers can raise the bar in leveraging their user data.” Laura Drabik, chief evangelist, Guidewire With its industry-leading behavioral data capture and intent scoring solution, ForMotiv works with carriers to help them analyze and monitor customer and agent digital behavior while accurately predicting user intent in real-time. ForMotiv provides robust behavioral reporting and analytics as well as a granular behavioral dataset leverageable across multiple departments. Armed with instant intent scoring and deterministic behavioral signaling, carriers can confidently predict buying intent, identify risk and nondisclosure, and expand their accelerated underwriting offerings to genuine users while dynamically intervening on applications requiring further qualification. ForMotiv’s real-time predictive behavioral analytics enable next-generation dynamic experiences, or SmartApps, that adapt to individual users based on their behavior. Its suite of products ranges from robust data capture and behavioral analytics to signaling and intent scoring. Carriers can leverage ForMotiv’s expansive behavioral dataset for both offline and real-time use cases. About ForMotiv ForMotiv is the only Behavioral Science Platform on the market that enables leading insurance companies to accurately and instantly predict user intent, in real-time. Our solution helps carriers improve digital customer & agent experiences, increase conversions, reduce risk & fraud, and more by analyzing users' digital body language (consisting of thousands of behavioral micro-expressions i.e. keystrokes, mouse movements, hesitation, corrections, copy/paste, and 150+ additional user engagement signals) while users engage with digital applications and claims forms to identify genuine, confused, risky or other behavior. Armed with real-time intent intelligence, ForMotiv carrier customers create next-generation dynamic experiences that adapt to individual users based on their intent. ForMotiv works with Marketing, Risk, Fraud, Data Science, Underwriting, Digital Strategy, and Claims teams.

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BIG DATA MANAGEMENT

Komprise Automates Unstructured Data Discovery with Smart Data Workflows

Komprise | May 20, 2022

Komprise, the leader in analytics-driven unstructured data management and mobility, today announced Komprise Smart Data Workflows, a systematic process to discover relevant file and object data across cloud, edge and on-premises datacenters and feed data in native format to AI and machine learning (ML) tools and data lakes. Industry analysts predict that at least 80% of the world’s data will be unstructured by 2025. This data is critical for AI and ML-driven applications and insights, yet much of it is locked away in disparate data storage silos. This creates an unstructured data blind spot, resulting in billions of dollars in missed big data opportunities. Komprise has expanded Deep Analytics Actions to include copy and confine operations based on Deep Analytics queries, added the ability to execute external functions such as running natural language processing functions via API and expanded global tagging and search to support these workflows. Komprise Smart Data Workflows allow you to define and execute a process with as many of these steps needed in any sequence, including external functions at the edge, datacenter or cloud. Komprise Global File Index and Smart Data Workflows together reduce the time it takes to find, enrich and move the right unstructured data by up to 80%. “Komprise has delivered a rapid way to visualize our petabytes of instrument data and then automate processes such as tiering and deletion for optimal savings,” says Jay Smestad, senior director of information technology at PacBio. “Now, the ability to automate workflows so we can further define this data at a more granular level and then feed it into analytics tools to help meet our scientists’ needs is a game changer.” Komprise Smart Data Workflows are relevant across many sectors. Here’s an example from the pharmaceutical industry: 1) Search: Define and execute a custom query across on-prem, edge and cloud data silos to find all data for Project X with Komprise Deep Analytics and the Komprise Global File Index. 2) Execute & Enrich: Execute an external function on Project X data to look for a specific DNA sequence for a mutation and tag such data as "Mutation XYZ". 3) Cull & Mobilize: Move only Project X data tagged with "Mutation XYZ" to the cloud using Komprise Deep Analytics Actions for central processing. 4) Manage Data Lifecycle: Move the data to a lower storage tier for cost savings once the analysis is complete. Other Smart Data Workflow use cases include: Legal Divestiture: Find and tag all files related to a divestiture project and move sensitive data to an object-locked storage bucket and move the rest to a writable bucket. Autonomous Vehicles: Find crash test data related to abrupt stopping of a specific vehicle model and copy this data to the cloud for further analysis. Execute an external function to identify and tag data with Reason = Abrupt Stop and move only the relevant data to the cloud data lakehouse to reduce time and cost associated with moving and analyzing unrelated data. “Whether it’s massive volumes of genomics data, surveillance data, IoT, GDPR or user shares across the enterprise, Komprise Smart Data Workflows orchestrate the information lifecycle of this data in the cloud to efficiently find, enrich and move the data you need for analytics projects. “We are excited to move to this next phase of our product journey, making it much easier to manage and mobilize massive volumes of unstructured data for cost reduction, compliance and business value.” Kumar Goswami, CEO of Komprise About Komprise Komprise is a provider of unstructured data management and mobility software that frees enterprises to easily analyze, mobilize, and monetize the right file and object data across clouds without shackling data to any vendor. With Komprise Intelligent Data Management, you can cut 70% of enterprise storage, backup and cloud costs while making data easily available to cloud-based data lakes and analytics tools.

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BIG DATA MANAGEMENT

Aryballe Launches New Advanced Analytics Toolset

Aryballe | August 09, 2022

Aryballe, the pioneer in digital olfaction, today announced the launch of its Advanced Analytics toolset. Available exclusively in the cloud, Advanced Analytics is the first product in the global Aryballe SaaS platform, and is designed to support and provide remote access to data acquired using Aryballe NeOse Advance and Amplifier. Digital olfaction is catching the attention of manufacturers across an abundance of industries - from automotive to perfume and fragrance to consumer-packaged goods. It is increasingly becoming a tool for companies to ensure quality and consistency of their products and differentiate themselves from the competition. Through the use of tools such as Aryballe’s NeOse Advance with Advanced Analytics, users will gain improved sensor data analysis, which allows them to go beyond standard intensity and discrimination metrics. They will have access to higher-level metrics, such as chemical composition estimation via advanced machine learning, and advanced dataset filtering and outlier detection. Analyte zone selector is also available for customizing the window of sensor responses to analyze, which gives users more flexibility for complex samples. “It’s clearer than ever before that when it comes to optimizing odor and taste within the food industry, data analytics is power,” said Florian Viton, Vice President, R&D Management Executive at CJ CheilJedang. “Aryballe’s advanced analytics capabilities enable us to analyze digital odor data better, helping us enhance our digital transformation efforts and provide our consumers with the highest quality products.” Engineered to assist in chemical and olfactory analysis laboratories and product development, Aryballe’s Advanced Analytics solution provides users with a robust digital olfaction technology evaluation. It can be applied to three core scenarios: Improved assessment of measured samples for database building Enhanced flexibility for discriminating product samples Advanced metrics around limit of detection for intensity-based decision making “At Aryballe we are helping companies realize the power of the senses and introducing them to digital olfaction as a way to improve their manufacturing and quality control processes. “The introduction of Advanced Analytics will empower users to more quickly and better understand the data available to them and therefore apply it to important business decisions.” Sam Guilaumé, Aryballe CEO About Aryballe Based in Grenoble, France and founded in 2014, Aryballe combines biochemistry, advanced optics and machine learning to mimic the human sense of smell. The company’s premier product offering, NeOse Advance, uses silicon photonics technology to detect, record and recognize odor data, which powers improved decision making for R&D, quality control, manufacturing and end-user experiences. Aryballe Suite, the company’s cloud-enabled software, enables customers to intuitively access and customize analysis of odors based on their unique needs. With operations in France, South Korea and the USA, Aryballe works with global leaders in automotive, food manufacturing and flavor & fragrances.

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Spotlight

In Hollywood, nothing is more chic than analytics. On TV shows like CSI and in films like Money Ball, the industry’s most iconic stars depend upon data to help solve problems or thwart world destruction. Even superheroes rely on solutions accessed at the touch of a finger on a sleek, glowing screen. The issue isn’t a lack of data; big data is real and getting bigger every day. The crux of the
problem for most people is uncovering the most relevant data when you need it. Today, that often means having to wait on IT, or taking matters into your own hands by manually wrestling with Excel to build massive spreadsheets.

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