BUSINESS STRATEGY

Atlan Named a Leader in Enterprise Data Catalogs for DataOps Evaluation by Independent Research Firm

Atlan | June 24, 2022

Atlan
Atlan, the active metadata platform for modern data teams, today announced that it has been recognized as a leader in The Forrester Wave™: Enterprise Data Catalogs for DataOps, Q2 2022. Atlan received the highest score in the current offering and strategy categories.

According to the report, “Atlan is the tool of choice for DataOps and data product deployment. Atlan’s vision is to create frictionless data product deployment through a single metadata and data automation platform. The tool was built by data engineers and for data engineers… As a result, Atlan maintains a strong focus for continued innovation in this metadata-driven data and application ecosystem.”

The Forrester Wave™ assessment evaluated 14 of the most significant enterprise data catalogs across 26 evaluation criteria. The evaluation is a culmination of rigorous, fact-based research, with a view of the relative positions and key differentiation of the top vendors in the market. Atlan received the highest score possible in 17 criteria, including Product Vision, Market Approach, Innovation Roadmap, Performance, and Connectivity, Interoperability, and Portability.

“We’re excited to be named a Leader in this Forrester Wave report. “We believe this validates our place as a pioneer of active metadata and a leader in this space.”

Prukalpa Sankar, Co-founder of Atlan

The Forrester Wave™ report states: “Atlan is more than metadata and data governance, standing out from the competition… Extensive integration makes data sharing easy, flexible, and scalable within hybrid distributed ecosystems for analytics and operational use cases.”

Just three years since its launch, Atlan is the tool of choice for DataOps and data product deployment for a growing list of customers, including WeWork, Plaid, Postman, Scripps Health, TechStyle, SnapCommerce, Delhivery, and Belcorp.

“Atlan is pushing the boundary from a DataOps standpoint,” said Venkat Gopalan, Chief Digital Officer at Belcorp. “You’re disrupting the industry by thinking differently. That’s the core essence of Atlan.”

“Our platform has been designed as more than a traditional data cataloging or a data governance tool,” said Varun Banka, Co-founder of Atlan. “It was built by a data team for the evolving needs of data teams, including transparent data flow and delivery, easy-to-use experience for every data user, and open infrastructure. We can’t wait to continue innovating and bringing the latest in active metadata to modern companies around the world.”

This recognition comes on the heels of other big news for Atlan — becoming the first data catalog validated as a Snowflake Ready Technology Partner; winning the MDS Rocketship Award for Data Discovery; and being named as a Gartner Cool Vendor in DataOps and in the inaugural Market Guide for Metadata Management.

About Atlan
Built by a data team for data teams, Atlan is the active metadata platform for modern data teams. Atlan creates a single source of truth by acting as a collaborative workspace for data teams and bringing context back into the tools where data teams live. Atlan features deep integrations across the modern data stack, including Slack, Snowflake, dbt, Redshift, Looker, Sisense, and Tableau. A pioneer in the space, Atlan was recognized by Gartner seven times in 2021, including as a Cool Vendor in DataOps and in the Inaugural Market Guide for Active Metadata Management.

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Aureus Analytics Announces the Launch of the DONNAforAgents Mobile Application for Both iOS and Android Devices

Prnewswire | May 12, 2023

Aureus Analytics, a global artificial intelligence technology company that provides customer experience solutions to the insurance industry, has introduced a new mobile experience for independent agents through the DONNAforAgents Mobile App, an AI-powered data analytics platform designed for Independent agents. The DONNA app is now available for free download on the App store and Google Play. DONNA is an AI powered, ZERO DATA ENTRY platform that is extremely EASY to use for Agency Owners, Account Managers, CRS and Producers within the agency. It is built for Agencies who want to grow their agencies by retaining good customers and identify opportunities to grow revenue from their existing clients. The DONNA mobile application was created ground up to offer agents quick and easy access to the most critical information about their policyholders in a single click. DONNA Mobile App launch features make it easy to: Access critical policyholder information View Customer Sentiment Score (SentiMeter®) View Cross Sell & Upsell recommendations Identify Customers at risk of Churn Get Alerts for any changes to your key customers "It wasn't long back that leveraging AI & Data Analytics needed expensive infrastructure and specialized skills and was hence accessible only to a select few large enterprises. Since the launch of DONNA we have made it easy and affordable for agencies of all sizes to not only access their data but also monetize it to grow their business and deliver better policyholder experience. With the new DONNA Mobile app, we have taken this a step further. All the power of AI & Analytics that DONNA offers can now be accessed by all agency team members from their own phones." said Anurag Shah, CEO & Co-Founder of Aureus. "We will continue to build such functionalities that enable Independent Agents to grow their businesses in more efficient and profitable manner." Developed with leading insurance industry experts, DONNA was explicitly designed for independent agencies and brokers to improve their policyholders' experience. The SaaS-based AI and Data Analytics platform leverages machine learning, natural language processing, and natural language generation to measure customer sentiment during the customer journey and predict future outcomes. Agencies who have used DONNA have seen business benefits like these in LESS than 6 months: Increase Total InForce Policy Count: 6.43% Increase in SentiMeter Score: 23.01% Increase in Average Premium per Policy: 8.18% Increase in Average Premium per Customer: +7.76% Increase in Average Policies per customer: +3.5% About Aureus Analytics Aureus Analytics is a customer intelligence and experience company that enables insurers to deliver superior customer experiences leading to higher customer retention, loyalty, and lifetime value. By leveraging artificial intelligence and machine learning technologies, actionable insights are delivered in natural language at the point of decision. Globally, the AI platform has processed over 70 million insurance policy data points for mid-sized and large insurers. For more information, visit www.donnaforagents.com.

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Dremio and Domo Announce New Integration to Expand Data Lakehouse Access

Businesswire | April 03, 2023

Dremio, the open and easy data lakehouse company, and Domo, a data experience platform innovator, announced a new partnership to expand access to critical data for better decision-making. Through a native data integration with Domo Cloud Amplifier, joint customers can easily connect to Domo to analyze data directly on the data lakehouse. Cloud Amplifier extends the capabilities of the data lakehouse and gives more data users access to critical data to gain insights and make better data-driven decisions. "We are thrilled to work with Domo to bring our joint customers the best of both worlds," said Roger Frey, vice president of Alliances at Dremio. "With this new integration, Domo users can take full advantage of Dremio's data lakehouse capabilities, including fast and efficient querying, powerful data transformation and more." The new Domo integration with Dremio will provide joint users with faster and more efficient data analysis capabilities. Customers can now query Dremio data sources and combine them with other data sources from across the organization, gaining a holistic view of their business performance. “Domo’s mission is to put data to work for everyone so they can multiply their impact on the business. With our new native integration with Dremio, we're providing our joint customers with access to even more data sources and capabilities, with the speed, scale and security needed to drive business forward," said Matthew Payne, vice president of Engineering at Domo. About Dremio Dremio is the easy and open data lakehouse, providing self-service analytics with data warehouse functionality and data lake flexibility across all of your data. Use Dremio's lightning-fast SQL query service and any other processing engine on the same data. Dremio increases agility with a revolutionary data-as-code approach that enables Git-like data experimentation, version control, and governance. In addition, Dremio eliminates data silos by enabling queries across data lakes, databases, and data warehouses, and by simplifying ingestion into the lakehouse. Dremio's fully managed service helps organizations get started with analytics in minutes, and automatically optimizes data for every workload. As the original creator of Apache Arrow and committed to Arrow and Iceberg’s community-driven standards, Dremio is on a mission to reinvent SQL for data lakes and meet customers where they are on their lakehouse journey. Hundreds of global enterprises like JPMorgan Chase, Microsoft, Regeneron, and Allianz Global Investors use Dremio to deliver self-service analytics on the data lakehouse. Founded in 2015, Dremio is headquartered in Santa Clara. CNBC recognized Dremio as a Top Startup for the Enterprise and Deloitte named Dremio to its 2022 Technology Fast 500.

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AtScale Introduces Code-First Data Modeling Capabilities for Its Semantic Layer Platform

Businesswire | April 28, 2023

AtScale, the leading provider of semantic layer solutions for modern business intelligence and data science teams, today announced new capabilities within its semantic layer platform to support code-first data modelers including developers, analytics engineers, and data scientists. These new capabilities tightly integrate with AtScale’s existing no-code visual modeling framework and provide flexibility to build and manage data models and metric definitions within the semantic layer using code-based modeling frameworks. “Analytics engineers and other code-first data modelers need the flexibility of a markup language and automation scripts to build and maintain the sophisticated data models underlying a robust semantic layer,” said Dave Mariani, founder and CTO for AtScale. “AtScale’s modeling language is built on best practices of dimensional analytics and seamlessly integrates with our metrics serving engine, ensuring optimal performance and cost efficiency of analytics queries, while maintaining tight integration with analytics layer tools.” AtScale is announcing three new capabilities to support code-first data modeling: AtScale Modeling Language (AML) Delivers Flexibility to Analytics Engineers: AML allows analytics engineers to design dimensional models that logically represent views of raw data, optimized for business intelligence (BI) and data science. AtScale models include table joins, dimensional hierarchies, and metrics definitions, as well as rich metadata to support user interaction from analytics tools. Models built in AML can be also accessed and modified from AtScale’s visual modeling canvas. Likewise, models built in the canvas can be accessed and edited within code. This new option also brings CI/CD support with Git integration for all AtScale models. AML is in private preview for AtScale customers. This blog explores code-first data modeling in more detail. dbt Metrics Serving Brings Open Source Modeling Alternative: AtScale can now “read” dbt Metric definitions directly from Git project files, establish the connections to dbt Models implemented on cloud data platforms, and serve dbt Metrics to AtScale-supported analytics tools including Excel, Power BI, Tableau, Qlik and Looker, as well as through Python and REST APIs. This approach lets analytics engineers work within a familiar, open source modeling environment while leveraging AtScale’s proven, enterprise-class analytics layer integration, push-down query execution, and automated aggregate orchestration. dbt Metrics serving is in private preview for AtScale customers. Python-based Metrics Engineering for Flexible and Efficient Management of Metrics Stores: AtScale’s AI-Link now includes Python utilities, enabling programmatic interaction with metric definitions built in AtScale. This allows organizations to create, read, update, and delete a range of AtScale objects using a Python API. This includes the capability to define and update definitions for large sets of metrics, including calculated, time-relative, and categorical metrics using automation. This provides a simple and efficient approach for analytics engineers and data scientists to manage large metrics stores, avoiding time-intensive, manual updates. Python-based metrics engineering is generally available within AtScale AI-Link. This blog explores the topic of metrics engineering in more detail. The AtScale semantic layer platform delivers a comprehensive data modeling solution that empowers organizations to achieve greater efficiency and productivity for their resource-constrained data teams. With support for both visual and code-based modeling, AtScale enables collaboration among analytics engineers, BI teams, and data scientists in the data modeling process. This flexibility allows organizations to choose the best approach for their teams, bringing the broadest set of personas into the data modeling process, maximizing resource efficiency and accelerating analytics innovation. AtScale is a universal semantic layer platform built to support enterprise data teams in optimizing analytics experience and delivering self-service analytics to their users. Data models defined within AtScale are served on demand, to common business intelligence platforms, including Excel, Power BI, Tableau, Qlik, and Looker, with no client-side add-ins or intermediate caching of data. End-user queries are dynamically optimized and orchestrated on modern cloud data platforms, such as Snowflake, Databricks, Google BigQuery, Amazon Redshift, and Microsoft Azure Synapse. To learn more, register for an exclusive preview session, including demonstrations of new capabilities, hosted by the AtScale product team. About AtScale AtScale enables smarter decision-making by accelerating the flow of data-driven insights. The company’s semantic layer platform simplifies, accelerates, and extends business intelligence and data science capabilities for enterprise customers across all industries. With AtScale, customers are empowered to democratize data, implement self-service BI and build a more agile analytics infrastructure for better, more impactful decision making. 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