Data exploration

Explorance Unlocks the Next Generation of Feedback Analytics: Unveils Blue 9, Empowering Feedback for the Brave

Retrieved on: 
Tuesday, November 14, 2023

The next generation feedback software born out of twenty years of expertise transcends traditional feedback boundaries ushering in a new era of data-driven decision-making within HR and Higher Education space.

Key Points: 
  • The next generation feedback software born out of twenty years of expertise transcends traditional feedback boundaries ushering in a new era of data-driven decision-making within HR and Higher Education space.
  • In a world where feedback serves as the cornerstone for growth, Blue 9 emerges as the catalyst addressing a crucial challenge plaguing organizations today: ineffective listening.
  • It tackles the pressing need to transform feedback from a mere data collection exercise, into a dynamic, two-way conversation.
  • Makes Feedback Conversational: Leveraging advanced analytics and machine learning, feedback becomes more dynamic, engaging, and insightful, bridging the gap between data and actionable insights.

Explorance Launches General Availability of Explorance BlueML and Free Personalized Feedback Analytics Report to Help Human Resource and Academic Leaders Build a More Robust and Agile Workforce

Retrieved on: 
Thursday, March 2, 2023

MONTREAL and CHICAGO, March 2, 2023 /PRNewswire/ -- Explorance, the leading provider of People Insight Solutions, today announced the general availability (GA) of Explorance BlueML, and the start of a special free offer for the award-winning workforce and student sentiment analysis solution.

Key Points: 
  • An industry leading machine learning (ML) tool trained on employee and student responses, BlueML delivers actionable insights from large datasets of comments and feedback in minutes.
  • Furthermore, the Explorance machine learning algorithms support the elimination of human bias in reviewing large data sets.
  • Data sets that contain limited data are much more likely to discriminate when they make decisions.
  • To learn more about Explorance BlueML, please visit www.explorance.com/blueml
    To learn more about Explorance, please visit www.explorance.com .

Datameer Achieves Select Tier Partner Status With Snowflake

Retrieved on: 
Tuesday, December 6, 2022

SAN FRANCISCO, Dec. 6, 2022 /PRNewswire/ -- Datameer today announced that it has achieved Select tier partner status from Snowflake , the Data Cloud company.

Key Points: 
  • SAN FRANCISCO, Dec. 6, 2022 /PRNewswire/ -- Datameer today announced that it has achieved Select tier partner status from Snowflake , the Data Cloud company.
  • As a Select partner, Datameer can accelerate the digital transformation of its joint customers who can fully leverage the performance, flexibility and near-infinite scalability of the Snowflake Data Cloud.
  • Datameer is tailor-made for Snowflake customers, offering a user experience optimized for a Snowflake cloud stack.
  • With this partnership, Datameer aims to expand how organizations can use their Snowflake data by eliminating data movement and working with data directly in Snowflake.

Arctic Wolf Announces the Closing of a $401 Million Convertible Notes Offering

Retrieved on: 
Thursday, October 6, 2022

Building on strong demand for the Arctic Wolf Security Operations Cloud and the cybersecurity outcomes it helps enable across the entire security operations framework, Arctic Wolfs business has continued to grow.

Key Points: 
  • Building on strong demand for the Arctic Wolf Security Operations Cloud and the cybersecurity outcomes it helps enable across the entire security operations framework, Arctic Wolfs business has continued to grow.
  • While on Gartner Peer Insights , 99% of reviewers would recommend Arctic Wolf for Managed Detection and Response as of September 30, 2022.
  • Were delighted to expand our partnership with Arctic Wolf, said Ilan Aharoni, vice president at Owl Rock, a division of Blue Owl Capital.
  • This press release does not constitute an offer to sell, or a solicitation of an offer to buy, any securities of Arctic Wolf.

Ventiv Technology Appoints Mark Tainton as New Global Head of Advanced Analytics

Retrieved on: 
Wednesday, June 1, 2022

Ventiv Technology, the leading provider of advanced analytics for risk, claims and underwriting solutions, today announced the appointment of Mark Tainton to lead its Advanced Analytics product division.

Key Points: 
  • Ventiv Technology, the leading provider of advanced analytics for risk, claims and underwriting solutions, today announced the appointment of Mark Tainton to lead its Advanced Analytics product division.
  • Today, Ventivs suite of analytics solutions includes Data Discovery, Data Exploration, Geospatial, Ventiv Predict, and its Data Science Platform.
  • Tainton, known for fostering business, data, and technology innovation, has a rich history of leading, building, and mentoring Data Analytics & Data Science teams.
  • Ventiv Technology is a leading global provider of risk management information systems (RMIS), enterprise risk management (ERM), insurance claims, billing, policy, and administration technology integrated with its market-leading analytics and predictive models.

Asahi Kasei to Start Providing Carbon Footprint Data for Synthetic Rubber and Elastomers

Retrieved on: 
Thursday, May 12, 2022

Asahi Kasei, a diversified Japanese multinational company, has developed a system (the System1) to calculate the carbon footprint of products (CFP2) for the synthetic rubber and elastomers products Asadene, Tufdene, Asaprene, Tufprene, Asaflex, Tuftec, and S.O.E.

Key Points: 
  • Asahi Kasei, a diversified Japanese multinational company, has developed a system (the System1) to calculate the carbon footprint of products (CFP2) for the synthetic rubber and elastomers products Asadene, Tufdene, Asaprene, Tufprene, Asaflex, Tuftec, and S.O.E.
  • View the full release here: https://www.businesswire.com/news/home/20220512005614/en/
    Products made from Asahi Kaseis synthetic rubber and elastomers range from food packaging and hygienic products to numerous medical and automotive applications.
  • The System clarifies the CFP for each synthetic rubber and elastomer product, which allows customers to calculate their own CFP.
  • 3 Please refer to the press release dated May 12, 2022: Asahi Kasei establishes group-wide data management infrastructure

Arctic Wolf Launches Data Exploration Module to Accelerate the Speed and Ease of Answering Critical Security Questions

Retrieved on: 
Thursday, May 12, 2022

Arctic Wolf, a global leader in security operations, today announced the launch of Arctic Wolf Data Exploration , a new module added to the Arctic Wolf Security Operations Cloud that extends the capabilities of Arctic Wolf Log Search and advances customers ability to find answers to critical security operations questions.

Key Points: 
  • Arctic Wolf, a global leader in security operations, today announced the launch of Arctic Wolf Data Exploration , a new module added to the Arctic Wolf Security Operations Cloud that extends the capabilities of Arctic Wolf Log Search and advances customers ability to find answers to critical security operations questions.
  • Built on a platform with an open XDR architecture that ingests security telemetry from network, endpoint, cloud, identity, and human data sources, Arctic Wolf Data Exploration allows organizations to centralize their security telemetry from a vast number of tools in the Arctic Wolf Security Operations Cloud.
  • With the launch of Arctic Wolf Data Exploration, Arctic Wolf is pioneering an innovative approach to provide organizations with aggregated, enriched, high quality security data that is backed by access to world-class security expertise to operationalize and act upon insights.
  • To see Arctic Wolf Data Exploration in action, visit Arctic Wolf at RSA Conference (Booth #1155) in San Francisco from June 3-6.

Dealtale Secures Seed Funding to Launch the First No-Code Data Exploration Platform for Revenue Teams

Retrieved on: 
Wednesday, October 21, 2020

TEL AVIV, Israel, Oct. 21, 2020 /PRNewswire/ -- Dealtale, the first No-Code Data Exploration Platform for revenue teams, today announced that it has raised seed funding from Hyperwise Ventures.

Key Points: 
  • TEL AVIV, Israel, Oct. 21, 2020 /PRNewswire/ -- Dealtale, the first No-Code Data Exploration Platform for revenue teams, today announced that it has raised seed funding from Hyperwise Ventures.
  • In a world where organizations thrive on data, Dealtale empowers business professionals to make data-driven decisions without the need for data science, engineering, or coding expertise.
  • Users can explore insights, slice and dice data across silos, and uncover previously hidden revenue opportunities all from a simple UI, no expertise needed.
  • Dealtale is the first No-Code Data Exploration Platform that empowers non-analysts to boost revenue performance and ARR targets with deep insights.

Databricks Introduces Delta Engine and Acquires Redash to Bring Performance and Ease-of-Use to Cloud Data Lakes

Retrieved on: 
Wednesday, June 24, 2020

Delta Engine is a high-performance query engine on cloud data lakes and Redash is an open source dashboarding and visualization service for data scientists and analysts to do data exploration.

Key Points: 
  • Delta Engine is a high-performance query engine on cloud data lakes and Redash is an open source dashboarding and visualization service for data scientists and analysts to do data exploration.
  • Delta Engine is tailored for use with Delta Lake, the popular open-source structured transaction layer that brings quality and reliability to data lakes.
  • Databricks acquired Redash, the company behind the successful Redash open source project, to provide easy-to-use dashboarding and visualization capabilities on these curated data lakes.
  • Databricks' new Delta Engine for Delta Lake enables fast query execution for data analytics and data science, without moving the data out of the data lake.

Datameer X Accelerates Machine Learning Analytics and Increases Model Accuracy

Retrieved on: 
Tuesday, September 17, 2019

Now, organizations can speed up machine learning analytics cycles and create robust data flows that feed more data into machine learning models to increase their accuracy.

Key Points: 
  • Now, organizations can speed up machine learning analytics cycles and create robust data flows that feed more data into machine learning models to increase their accuracy.
  • In today's data-driven world, companies are increasingly investing in artificial intelligence and machine learning.
  • Yet machine learning analytic cycles remain hindered as data scientists still spend up to 90 percent of their time preparing data to feed their AI and machine learning processes.
  • Datameer X solves for these two critical aspects of data preparation for machine learning with automated functions that shape data for machine learning and large-scale data exploration that finds the best data for the problem at hand.