BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
EY | November 28, 2022
The EY organization today announces an alliance between Alteryx, one of the leaders in analytics automation, and Ernst & Young LLP (EY US), to help organizations unlock the power of data through automation and digital transformation.
Most organizations face inefficiencies and increased costs when carrying out day-to-day business and back-office operations. As they undergo digital transformation efforts, they tend to devote more time to data manipulation than to data analysis. As a result, revisiting and updating their existing technologies to improve data literacy throughout the organization becomes critical to achieve their transformation goals. The EY–Alteryx Alliance will help clients across various sectors optimize data-driven processes by generating valuable insights to deliver faster, better business outcomes to achieve efficiency in business operations. The alliance leverages the highly intuitive and easy-to-learn data analytics automation platform of Alteryx along with the EY organization's digital transformation capabilities across Strategy and Transactions, Consulting and Tax.
The Alteryx platform combines three key pillars of automation and digital transformation — data, processes and people — to help enable data democratization, business process automation and people upskilling. Users are then better able to unlock the value of advanced analytics using its user-friendly platform, analyze a wide range of data from multiple sources and deliver business insights to answer business questions more efficiently.
Among other strengths, EY US is well-known among clients and in the market for its consulting capabilities. With more than 700 certified implementers of Alteryx across service lines and countries, EY US teams have built innovative, proprietary solutions that are supported by Alteryx. Through the EY–Alteryx Alliance, clients gain access to and counsel from the right technology and consulting talent for data exploration, transformation and analysis.
Brian May, EY Americas Alliance and Managed Services Leader, says:
"This collaboration combines advanced technology and consulting capabilities for data exploration and analysis across key functional areas including tax, finance, human resources, supply chain, internal audit and IT. Activating and accelerating rapid digital transformation is paramount in helping organizations efficiently navigate today's evolving business landscape."
Barb Huelskamp, Alteryx SVP of Channel Sales, says:
"By aligning the EY organization's rich heritage of experience with the Alteryx analytics automation platform, we provide incremental value for key customer segments across the office of finance, human resources, supply chain and more. Our shared objective helps organizations optimize analytics to help drive large-scale business transformations."
About EY
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
EY | December 13, 2022
The EY organization today announces an alliance between Databricks, a data lakehouse company, and Ernst & Young LLP (EY US) to help organizations simplify and democratize data, analytics and artificial intelligence (AI). Combining the knowledge, business insights and consulting capabilities of EY data scientists with Databricks' Lakehouse Platform, the alliance will help enable massive-scale data engineering, machine learning (ML) and business analytics for organizations across nearly every industry.
Databricks has become a cornerstone for companies looking to put data at the center of their business strategy by pioneering the data lakehouse category and providing advanced technologies that analyze and transform complex data sets into insights and solutions. The Databricks Lakehouse Platform brings together the best qualities of data warehouses and data lakes to help organizations accelerate innovation through critical data-driven use cases — from data warehousing and data streaming to data science and ML — on an open unified platform.
As a long-time consumer of Databricks, EY US has seen first-hand the platform's immense value, having implemented it for a number of internal use cases. One notable example, the EY organization's proprietary solution, Trusted Data Fabric, is underpinned by Databricks. Together, the technology embeds trust to reduce the risk of data misuse, providing a platform for secure and ethical use of intelligence-enriched assets.
Greg Sarafin, EY Global Partner Ecosystem Leader
Entering into an alliance with Databricks strengthens our ability to address the needs of clients seeking to gain significant business benefits from their data, whether for operational efficiency, stakeholder experiences, risk mitigation or creating entirely new sources of revenue. EY teams offer the breadth of services necessary to turn data insights at scale into enterprise value, enabled by Databricks' Lakehouse and the extraordinary AI and ML capabilities of that platform.
Kori O'Brien, SVP, Global Consulting & SI Partners at Databricks
"We are thrilled to welcome EY US to the Databricks partner ecosystem to help data-driven organizations adopt the Lakehouse Platform and deliver more value to their businesses with data, analytics and AI. We look forward to continuing to innovate with EY teams and provide new capabilities, services and tailored industry solutions for our joint customers to unlock the power of their data with a lakehouse."
About EY
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
Tellius | November 10, 2022
Tellius today announced the latest version of its decision intelligence platform with new features including Multi-Business View Vizpads. The enhancements in Tellius 4.0 will help users unify insights for more holistic views, accelerate ad hoc analysis in an enterprise-controlled manner, and get faster onboarding and time to insights.
Introducing Multi-Business View Vizpads
As the number of dashboards grow in a company, so does the amount of context switching and stitchwork to get the full picture of what is happening in the business to make better decisions. As a result, most organizations today are experiencing disconnected decision-making—leading to missed opportunities to increase revenue and improve customer retention.
To reduce this friction, Tellius has added Multi-Business View Vizpads (MBV Vizpads) to its platform, unifying analysis across disparate data sources. Now, users can gain greater visibility into data across sources without needing to toggle through multiple dashboards, enabling better collaboration, efficiency, and decision-making across different functions. For example, marketing teams could use MBV Vizpads to view Google Analytics site traffic alongside Salesforce data for an omni-view of the journey from visitor to prospect to customer, all in one place. This data can then be fed into Tellius’ AI-driven decision intelligence engine to uncover the what, why, and how that informs better business decisions.
“Tellius recognizes that business decisions are rarely narrow in scope, so the new ability for VizPads to work across Business Views is important. But I think they go further than just decision support — it’s decision management. For a well-governed business, the ability to track and evaluate outcomes is just as critical as the decision itself," said Donald Farmer, a data and analytics product expert and Principal at TreeHive Strategy Services.
Delivering enterprise-grade ad hoc analysis and faster time to insights
In addition to introducing MBV Vizpads, Tellius also rolled out a host of other features, including:
Guided walkthroughs, in-app chat, and feedback support to improve the onboarding and user experience, empowering customers to realize value from insights faster than ever before
Enhanced search disambiguation and date operators to make Tellius’ search functionality more robust
Default User Groups, Spark SQL support, and OAuth support for Snowflake Audit logs to deliver superior enterprise-grade decision intelligence capabilities.
This platform enhancement news comes on the heels of Tellius’ $16 million Series B funding round led by Baird Capital. Tellius also received significant industry recognition for its decision intelligence platform this year, including being named a Visionary in the 2022 Gartner® Magic QuadrantTM for Analytics and BI Platforms and a representative vendor in the 2022 Gartner® Market Guide for Multipersona Data Science and Machine Learning Platforms.
“We’ve made a fundamental shift by simplifying how users interact with Tellius. Multi-Business View Vizpads will empower business users to analyze insights across disconnected and disparate data models to unlock game-changing holistic decision-making,” said Hardik Chheda, Chief Product Officer at Tellius. “We will continue to invest in the entire user journey on our platform - with a core focus on user onboarding, supercharging our ad-hoc analysis capabilities, and adding robust enterprise capabilities.”
About Tellius
Tellius is an AI-driven decision intelligence platform that enables anyone to get faster insights from their data. The company helps organizations across industries, including financial services, pharmaceutical and life sciences, retail, healthcare, and high technology, accelerate their journey from data to decisions by augmenting human expertise and curiosity with intelligent automation. The company’s platform combines AI- and ML-driven automation with a search interface for ad hoc exploration, allowing users to ask questions of their business data, analyze billions of records in seconds, and gain comprehensive, automated insights in a single platform. Founded in 2016, Tellius is backed by Baird Capital, Sands Capital Ventures, Grotech Ventures, and Veraz Investments.
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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
Neo4j | November 09, 2022
Neo4j®, the leader in graph technology, announced today the general availability of Neo4j 5, the next-generation cloud-ready graph database. Neo4j 5 widens the performance lead of native graphs over traditional databases while providing easier scale-out and scale-up across any deployment, whether on-premises, in the cloud, hybrid, or multi cloud. The result empowers organizations to more quickly create and deploy intelligent applications at large scale and achieve greater value from their data.
"Graph technology adoption is accelerating as organizations seek better ways to leverage connections in data to solve complex problems at scale," said Emil Eifrem, CEO and Co-founder of Neo4j. "We designed Neo4j 5 to deliver the type of scalability, agility, and performance that enable organizations to push the envelope on what's possible for their data and their business."
Neo4j 5's specific benefits include:
Query language improvements and up to 1000x faster query performance. New syntax makes it even easier to write complex pattern-matching queries. Improvements in indexes, query planning, and runtime make Neo4j 5 the fastest implementation ever. For example, multi-hop queries can now be executed up to 1000x faster than Neo4j 4. These improvements are above and beyond the already exponentially faster Neo4j's graph results over traditional databases. Together, these benefits enable more real-time results at scale.
Automated scale-out across hundreds of machines, enabling self-managed customers to grow and handle a massive number of queries with little manual effort and significantly less infrastructure cost. This benefit is achieved via new and enhanced features like Autonomous Clustering and Fabric, enabling organizations to efficiently operate very large graphs and scale out in any environment. Neo4j 5 also automates the allocation and reassignment of computing resources.
Continuous updates across all deployments, whether in the cloud, multi-cloud, hybrid, or on-prem. Neo4j 5 ensures ongoing compatibility between self-managed and Aura workloads managed by Neo4j. In addition, a new tool called Neo4j Ops Manager provides a unified single pane for easy monitoring and management of global deployments, giving customers full control over their environments.
Neo4j 5 performance lead sets a new industry bar
More than 1,300 organizations trust Neo4j's technology to power mission-critical applications while maintaining performance, security, and data integrity. Neo4j 5 extends the company's leadership even further at a time when graph adoption is exploding.
"Switching to Neo4j was a huge win for us," said David Fox, Senior Software Engineer at Adobe and Co-founder & Engineering Lead at devRant. "We've seen significant performance improvements, and a great reduction in complexity, storage, and infrastructure costs. Staff now focus on improving the infrastructure, versus spending time frustratingly micro-managing it."
For more information
To learn more about Neo4j 5, visit the Neo4j 5 web page, read "Scale New Heights with Neo4j 5 Graph Database," or register for the following sessions at the upcoming online developer conference NODES 2022: "What's New in Neo4j 5 and Aura 5 for Developers" and "Introducing Neo4j 5 for Administrators."
About Neo4j
Neo4j is the world's leading graph data platform. We help organizations – including Comcast, ICIJ, NASA, UBS, and Volvo Cars – capture the rich context of the real world that exists in their data to solve challenges of any size and scale. Our customers transform their industries by curbing financial fraud and cybercrime, optimizing global networks, accelerating breakthrough research, and providing better recommendations. Neo4j delivers real-time transaction processing, advanced AI/ML, intuitive data visualization, and more.
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