BIG DATA MANAGEMENT, DATA ARCHITECTURE, DATA SCIENCE
Businesswire | June 01, 2023
Census, the leading Data Activation and Reverse ETL platform that syncs customer data from data warehouses to over 160 key business tools, today announced the launch of GitLink, a powerful Git integration that revolutionizes the way business data workflows are managed. With GitLink, Census empowers businesses to apply software engineering best practices to their customer data pipelines, ensuring governance, version control, testing, and peer review capabilities.
“Traditionally, data integration solutions like Customer Data Platforms (CDPs) compromise governance and observability for user-friendliness,” said Jeff Sloan, Product Manager at Census. “We don’t think that tradeoff should exist. Our core belief is that your data activation workflows deserve the same care and attention as production-grade software.”
The Census Data Activation platform uses Reverse ETL (extract, transform, load) to sync cloud data warehouses with business applications in real time, empowering businesses to unlock the full potential of their customer data. With Census, companies can seamlessly activate and sync customer data across various marketing and business tools, driving personalization, automation, and targeting. By combining the benefits of code and no-code approaches, Census bridges the gap between self-service and governance, enabling collaboration between marketers and data teams.
Census GitLink syncs configuration bi-directionally between the user’s Census workspace and Git repository, empowering businesses to harness the full potential of data activation as code. Key features include:
Data activation as code. Create, edit, and review Census SQL Models and Syncs directly in simple, well-defined YAML files.
Bi-directional syncs. Easily make changes either in code or in the Census UI.
Version control and seamless rollbacks. View all changes to your Census configuration, and roll back any mistaken changes with the power of Git.
Automated integration testing. Census enables continuous integration (CI) checks on pull requests in your Git repository, and provides insight into what changes will occur in Census, or if any changes are invalid.
Governance for every use case. Enable any approval flow your team needs. Fully govern any Census workspace in Git with view-only access controls + GitLink.
Revolutionize your marketing and business operations with software engineering best practices. To learn more about Census GitLink, read the announcement here.
About Census
Census turns data warehouses into a hub for marketing and business operations, empowering everyone with trustworthy and actionable data from a single source of truth. With its Data Activation platform, powered by reverse ETL (extract, transfer, and load), data teams can validate and publish analytics directly into all their applications in real time. Hundreds of companies like Canva, Figma, Loom, and Notion use Census to sync billions of records to empower their customer success, sales, and marketing teams. Census is backed by Andreessen Horowitz, Insight Partners, Sequoia, and Tiger Global. For more information, visit www.getcensus.com or follow @census on Twitter.
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BIG DATA MANAGEMENT, DATA SCIENCE
Prnewswire | May 30, 2023
HighByte®, an industrial software company, today announced the release of HighByte Intelligence Hub version 3.1 that expands operational technology (OT) data access, governance, and scale capabilities for industrial companies. The release includes a new REST Data Server that acts as an API gateway for industrial data residing in OT systems, so any application or service with an HTTP client can securely request OT data in raw or modeled form directly from the Intelligence Hub—without requiring domain knowledge of the underlying systems.
"With its initial release in 2020, HighByte Intelligence Hub entered the market as a client-based application capable of publishing data to consuming systems. Earlier this year, we released server-based capabilities with the addition of an embedded MQTT broker, allowing systems to subscribe to industrial data sources. In a few short months, we have expanded data access yet again with the ability to request data on-demand from the Intelligence Hub through a REST API," said HighByte CEO Tony Paine. "This technical evolution reflects the maturing Industrial DataOps market and the increasingly sophisticated use cases of our customers. We are listening and committed to staying ahead of market needs."
HighByte Intelligence Hub version 3.1 adds additional capabilities to support data governance and scale, including more flexible configuration management. The Intelligence Hub now allows easy export and import of full or partial project configurations, which can be configured through the user interface, configuration files, or the configuration API. Users can also import models and instances directly from third party systems like Element Unify, supporting AWS's Industrial Data Fabric architecture. In addition, users can dynamically drive template definitions from third party sources and trigger flows for individual assets, streamlining configuration across similar assets and use cases.
"We are particularly excited about the new ability to import and export full or partial projects directly through the user interface. This functionality holds special significance for us as we are running HighByte Intelligence Hub in multiple Docker containers," said Matthew Venter, Solutions Architect at Gousto, an online meal-kit manufacturer and retailer and certified B Corporation. "With the ability to seamlessly import and export projects, we can effortlessly replicate and distribute our configurations across different container instances."
Other features include a new Apache Kafka connector and significant improvements to existing connectors including PI System, Sparkplug, OPC UA, REST Client, AWS IoT SiteWise, Modbus, and the File connector (now with FTP support).
HighByte Intelligence Hub version 3.1 is now commercially available. All new features and capabilities introduced in version 3.1 are included in standard pricing. Please contact HighByte or an authorized distributor to request a trial or purchase an annual subscription license.
About HighByte
HighByte is an industrial software company in Portland, Maine USA building solutions that address the data architecture and integration challenges created by Industry 4.0. HighByte Intelligence Hub, the company's award-winning Industrial DataOps software, provides modeled, ready-to-use data to the Cloud using a codeless interface to speed integration time and accelerate analytics. Learn more at https://www.highbyte.com.
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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE
Businesswire | June 02, 2023
New research from Tamr, Inc., the leader in data products, reveals that more than three-fourths (78%) of surveyed businesses focus on improving customer data quality and breaking down data silos. And many organizations are shifting from being solely data-driven to seeking value from the promise that their customer data holds. These findings are based on a recent study of businesses across a variety of industry sectors, including financial services, retail, manufacturing, and life scien
Customer data has become a key focus in light of ever-evolving customer preferences and behaviors. With both B2B and B2C customers expecting a seamless experience, it's become clear that improving the value of customer data is vital to any business's success. But when customer data is incorrect, incomplete, or outdated, it becomes difficult to derive value from it.
Dirty customer data: what it is and why it exists
Most companies' customer data is messy, incomplete, incorrect, and managed in data silos, making it difficult to integrate into a holistic, 360-degree view of the customer. Typically, organizations manage their data in a way which aligns to how they are organized – by product line, by geography, by business unit, etc. But, the real value from data comes when organizations break down those silos. Without that holistic view, the individuals in the company responsible for identifying and driving upsell/cross-sell opportunities, delivering world-class customer experiences, and identifying potential risk exposures will struggle to succeed.
"With regards to customer data, changing customer buying behavior created an influx of data for businesses to comb through," said Anthony Deighton, Data Products General Manager at Tamr. "Companies leading the pack in winning buyers and increasing customer loyalty are doing so by solving the customer data problem."
Data is everyone’s concern
Tamr research participants were primarily from data and analytics teams and business departments, such as marketing, procurement, and customer experience. The high survey participation rate (64%) from business departments demonstrates that data is becoming a part of everyone’s job in the enterprise. And as organizations become more data driven, data products are rising as a primary focus to enable organizations to realize the value of data as a core asset.
Data products: an antidote to dirty, disconnected customer data
Companies that have shifted their focus to data products are overcoming customer data problems and delivering outstanding results. Data products are easy-to-use sets of high-quality, trustworthy, and accessible data that people across an organization can use to solve business challenges. Tamr’s research shows that 69% of respondents cited business value as a key metric for measuring the success of data products, second only to user experience. In fact, 74% of respondents would advise companies wanting to solve customer data problems to develop a data product strategy that focuses on business value.
“Treating data like a product involves bringing structure to the ownership, processes, and technology needed to ensure the organization has clean, curated, continuously-updated data,” Deighton explained. “Organized by business entities and governed by domain, data products are the best version of data. They are aligned to key business entities and available for humans and machines to consume broadly and securely across an enterprise to solve business challenges.”
Building data products
A templated approach to data product development is the simplest way to accelerate time to value for organizations wanting to move toward a data product strategy. Data product templates enable you to build a custom flow for your MDM program quickly, author and curate data, and improve data quality for your operational processes, analytics, and data consumers. Data product templates address wide-ranging data challenges, from B2B and B2C customer mastering to supplier mastering and legal entity mastering, so any organization seeking better, more efficient ways to manage their data can benefit from this approach.
“Our research indicates that businesses that have moved away from being data-driven only, and adopted data product strategies to become value-driven, are the real success stories,” says Deighton.
Read Tamr’s latest insights report, Getting Started With Data Products: A CDO Guide, to learn more about how to get more value from your customer data with data products.
Tamr commissioned a third-party market research firm, Propeller Insights, for the research of over 500 participants on the state of the data and analytics industry.
About Tamr, Inc.
Tamr, the leader in data products, enables customers to use data product templates to consolidate messy source data into clean, curated, analytics-ready datasets. Organizations benefit from Tamr, the industry’s first suite of data product templates that combine human curation, patented machine learning, mastering rules and enrichment with first- and third-party data to accelerate business outcomes and deliver business-changing insights. Tamr’s cloud-native and SaaS solutions enable industry leaders such as Toyota, Western Union and GSK to get ahead and stay ahead in a rapidly changing competitor environment.
Visit www.tamr.com and follow @Tamr_Inc on Twitter and LinkedIn for more information about Tamr, its partners and investors.
About Propeller Insights
Propeller Insights is a full-service market research firm based in Los Angeles. We use quantitative and qualitative methodologies to measure and analyze marketplace opinions from B2C and B2B perspectives. We work extensively across multiple industries including technology, brand intelligence, entertainment/media, retail, and consumer packaged goods. Our collective experience in all aspects of the research process, from sample management and data collection, to data processing and analysis, ensures our research is efficient and of the highest quality.
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