BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA ARCHITECTURE
Mode Analytics | September 30, 2022
Mode Analytics today announced that it has been recognized as a Business Intelligence Leader in the inaugural Modern Marketing Data Stack Report: Your Technology Guide to Unifying, Analyzing, and Activating the Data that Powers Amazing Customer Experiences, executed and launched by Snowflake, the Data Cloud company.
Snowflake’s data-backed report identifies the best of breed solutions used by Snowflake customers to show how marketers can leverage the Snowflake Data Cloud with accompanying partner solutions to best identify, serve, and convert valuable prospects into loyal customers. By analyzing usage patterns from a pool of nearly 6,000 customers, Snowflake identified six technology categories that organizations consider when building their marketing data stacks. These categories include:
Integration & Modeling
Identity & Enrichment
Activation & Measurement
Data Science & Machine Learning
Focusing on companies that are active members of the Snowflake Partner Network (or ones with a comparable agreement in place with Snowflake), as well as Snowflake Marketplace Providers, the report explores each of these categories that comprise the Modern Marketing Data Stack, highlighting technology partners and their solutions as “leaders” or “ones to watch” within each category. The report also details how current Snowflake customers leverage a number of these partner technologies to enable data-driven marketing strategies and informed business decisions. Snowflake’s report provides a concrete overview of the partner solution providers and data providers marketers choose to create their data stacks.
“Marketing professionals continue to expand their investment in analytics to improve their organization’s digital marketing activities. “Mode has emerged as a leader in the Modern Marketing Data Stack, with joint customers leveraging their technology to interpret insights that lead to informed business decisions.”
Denise Persson, Chief Marketing Officer at Snowflake
Mode was identified in Snowflake’s report as a Leader in the Business Intelligence category for its particular success with Visual Explorer, Mode’s flexible visualization system that helps analysts explore data faster and provides easy-to-interpret insights to business stakeholders. Additionally, Mode and Snowflake have partnered in the past couple of years tocreate a modern data analytics stack, mobilizing the world’s data with the Snowflake Data Cloud to help joint customers quickly execute queries and perform analysis.
“Mode combines the best elements of business analytics and data science into a single platform, unlocking new ways for marketers to accelerate data-driven outcomes,” said Gaurav Rewari, CEO, Mode Analytics. “Our partnership with Snowflake makes it possible for marketing and other departments across an organization to truly centralize and interact directly with their data. With Snowflake’s single, integrated data platform, built to fully leverage the speed and flexibility of the cloud, organizations can mobilize their data in near-real time.”
About Mode Analytics
Mode’s advanced analytics platform is designed by data experts for data experts. It allows data scientists and analysts to visualize, analyze, and share data using a powerful end-to-end workflow that covers everything from early data exploration stages to presentation-ready shareable products. Unlike traditional business intelligence tools that produce static dashboards and reports, Mode brings the best of BI and data science together in a single platform, empowering everyone at your organization to use data to make high quality, high velocity decisions. Mode also supports the analytics community with free learning resources such as SQL School, open source SQL queries, and free tools for anyone analyzing public data.
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
Alteryx | October 19, 2022
Alteryx, Inc., the Analytics Automation Company, today revealed new enhancements to enable cloud analytics and enterprise readiness, announced at the company's annual customer and partner conference Inspire EMEA 2022.
Expanded Cloud and Snowflake Analytic Capabilities Enable Everyone to Deliver Valuable Insights
Businesses are embracing modern data architecture and cloud data warehouses like Snowflake to empower everyone in their organization to deliver data-driven insights from anywhere. In response, Alteryx is introducing new developments on the Alteryx Analytics Cloud platform, which provides unified and approachable end-to-end analytics in the Cloud.
Alteryx Machine Learning is now powered by the Alteryx Analytics Cloud platform. Now, anyone with a non-data science background can easily build automated machine learning models at scale to create predictive financial forecasts, identify overdue accounts, segment customers, improve user engagement, and more.
Designer Cloud powered by Trifacta has dramatically improved the performance of Snowflake data processing. New updates include processing data up to 20x faster when moving data from AWS to Snowflake, enabling users to quickly and easily access and utilize more data sources.
"Being able to take advantage of Snowflake computing in Alteryx Designer Cloud is a huge advantage for Advarra that allows us to centralize our resource management and investments," comments Sajid Sayed, senior director, data science platform at Advarra. "These enhancements to Snowflake Pushdown will provide more streamlined analytics performance and will be a huge advantage for Advarra and our data-driven approach to clinical research."
"Putting powerful machine learning tools in the hands of everyone and making data science accessible is core to solving the biggest challenges in business today," said Suresh Vittal, chief product officer at Alteryx. "At Alteryx, we are excited these new product enhancements will help essential in-department knowledge experts to make valuable contributions to the business by delivering outcomes that drive the innovation needed to succeed in hypercompetitive landscapes."
Improved Security and Speed for Enterprise Readiness with Alteryx 22.3
With exponential growth in the volume of data being created and captured daily, it is critical organizations fast track secure access to data across the organization. In the 22.3 product release, Alteryx enhances security and speed to enterprise-wide analytics insights.
To streamline how organizations connect users to data while also better protecting sensitive digital credentials, Alteryx's Data Connection Manager (DCM) now supports Azure Active Directory group authentication for Snowflake and Databricks, as well as a new integration with third-party vaults like HashiCorp and CyberArk.
Further, users can speed their time to insights with enhanced Google BigQuery connectivity. With 170x performance improvement, the new update allows analysts to work with large data sets where they live, rather than time consuming, costly processes that impact productivity. And, with general access to PDF to text capabilities, users can swiftly unlock insights from unstructured data using Alteryx Intelligence Suite.
Alteryx powers analytics for all by providing our leading Analytics Automation Platform. Alteryx delivers easy end-to-end automation of data engineering, analytics, reporting, machine learning, and data science processes, enabling enterprises everywhere to democratize data analytics across their organizations for a broad range of use cases. More than 8,000 customers globally rely on Alteryx to deliver high-impact business outcomes.
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, PERFORMANCE MANAGEMENT
Talend | November 07, 2022
Talend, a global leader in data integration and data management, today announced it has once again been recognized by Gartner, Inc. as a Leader in data quality solutions in the 2022 Magic Quadrant for Data Quality Solutions 1. This is the fifth consecutive time that Talend has been positioned in the Leaders Quadrant based on the company's ability to execute and completeness of vision.
According to Gartner, Inc., "Driven by transition to more augmented data quality features, the market for data quality solutions is further consolidating with adjacent data and analytics markets such as metadata management, governance platforms, data integration tools and master data management (MDM) solutions. As a result, data and analytics (D&A) leaders and practitioners expect seamless interoperability between these products driven by consolidation and sharing of metadata."
"The ability to establish a trusted data culture and democratize access to trusted data relies on a collaborative approach to data quality. "We believe that this new recognition as a Leader demonstrates the value Talend brings in supporting organizations to take a proactive and integrated path to healthy data."
Jamie Fiorda, CMO, Talend
Talend Data Fabric is the only end-to-end data management platform that provides integrated data quality capabilities to guarantee access and usage of trusted and governed data throughout the data life cycle. In the most recent release, the platform adds advanced features for automation and AI-driven augmentation for data enrichment, data profiling, and data remediation, as well as data observability to face the growing complexity of data stacks and the need for proactively managing data quality.
In the report, Gartner also notes, "By 2024, 90% of data quality technology buying decisions will focus on ease of use, automation, operational efficiency and interoperability as the critical decision factors." Additionally, "By 2026, 20% of large enterprises will use a single data and analytics governance platform to unify and automate discrete governance programs."
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER and Magic Quadrant are registered trademarks and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.
Talend, a global leader in data integration and data management, is taking the work out of working with data.
Talend offers the only end-to-end platform that combines enterprise-grade data integration, integrity, and governance capabilities to unify data across any cloud, hybrid, or multi-cloud environment. With Talend's no-code and low-code modules, data experts and business users actively collaborate to make data more discoverable, usable, and valuable organization-wide. Over 7,250 customers around the world rely on Talend for healthy data and a healthy business.
BIG DATA MANAGEMENT, BUSINESS STRATEGY
New Relic | September 17, 2022
New Relic , the observability company, announced support for Amazon Virtual Private Cloud (Amazon VPC) Flow Logs on Amazon Kinesis Data Firehose to reduce the friction of sending logs to New Relic. Amazon VPC Flow Logs from AWS is a feature that allows customers to capture information about the IP traffic going to and from network interfaces in their Virtual Private Cloud (VPC). With New Relic support for Amazon VPC Flow Logs, both AWS and New Relic customers can quickly gain a clear understanding of a network’s performance and troubleshoot activity without impacting the network throughput or latency
Network telemetry is challenging even for network engineers. To unlock cloud-scale observability, engineers need to explore VPC performance and connectivity across multiple accounts and regions to understand if an issue started in the network or somewhere else. To solve this, New Relic has streamlined the delivery of Amazon VPC Flow Logs by allowing engineers to send them to New Relic via Kinesis Data Firehose, which reliably captures, transforms, and delivers streaming data to data lakes, data stores, and analytics services. With New Relic’s simple “add data” interface, it only takes moments to configure Amazon VPC Flow Logs using the AWS Command Line Interface (AWS CLI) or an AWS CloudFormation template. Instead of digging through raw logs across multiple accounts, any engineer can begin with an Amazon Elastic Compute Cloud (Amazon EC2) instance they own and begin to explore the data that matters, regardless of the AWS account or AWS Region.
“New Relic continues to invest in our relationship with AWS. Helping customers gain visibility into their cloud networking environment increases their overall application observability. “Our support for Amazon VPC shows our commitment to enhancing our joint customers’ observability experience.”
Riya Shanmugam, GVP, Global Alliances and Channels at New Relic
“AWS is delighted to continue our strategic collaboration with New Relic to help customers innovate and migrate faster to the cloud,” said Nishant Mehta, Director of PM – EC2 and VPC Networking at AWS. “New Relic’s connected experience for Amazon VPC Flow Logs, paired with the simplicity of using Kinesis Data Firehose, enables our joint customers to easily understand how their networks are performing, troubleshoot networking issues more quickly, and explore their VPC resources more readily.”
With the New Relic support for Amazon VPC Flow Logs on Kinesis Data Firehose, customers can:
Monitor and alert on network traffic from within New Relic.
Visualize network performance metrics such as bytes and packets per second, as well as accepts and rejects per second across every TCP or UDP port.
Explore flow log deviations to look for unexpected changes in network volume or health.
Diagnose overly restrictive security group rules or potentially malicious traffic issues.
”Our architecture contains above 200 microservices running on AWS. When something goes wrong, we need to find the root cause quickly to put out what we at Gett term as ‘fires,’” said Dani Konstantinovski, Global Support Manager at Gett. “With New Relic capabilities we can identify the problem, understand exactly what services were affected, what’s the reason, and what we need to do to resolve it. New Relic gives us this observability—it helps us to provide better service for our customers.”
“Proactively managing customer experience is essential to all businesses that provide part or all of their services through applications. Therefore it’s essential for engineers to have a clear understanding of their network performance and have the data needed to troubleshoot activity before it impacts customers. Also, the quality of the data is fundamental to making good decisions,” said Stephen Elliot, IDC Group Vice President, I&O, Cloud Operations and DevOps. “Solutions that ensure fast delivery of high-quality data provide engineers with the ability to act quickly and decisively with confidence, saving businesses from the costs associated with negative customer experiences.”
About New Relic
As a leader in observability, New Relic empowers engineers with a data-driven approach to planning, building, deploying, and running great software. New Relic delivers the only unified data platform that empowers engineers to get all telemetry—metrics, events, logs, and traces—paired with powerful full stack analysis tools to help engineers do their best work with data, not opinions. Delivered through the industry’s first usage-based consumption pricing that’s intuitive and predictable, New Relic gives engineers more value for the money by helping improve planning cycle times, change failure rates, release frequency, and mean time to resolution. This helps the world’s leading brands including Adidas Runtastic, American Red Cross, Australia Post, Banco Inter, Chegg, GoTo Group, Ryanair, Sainsbury’s, Signify Health, TopGolf, and World Fuel Services (WFS) improve uptime, reliability, and operational efficiency to deliver exceptional customer experiences that fuel innovation and growth.