?? Heading to Google Cloud Next '25? Come listen to Anomalo's Amy Reams, Jeff Ferguson of Google Cloud, and Andrew Storrs of Aritzia, to learn how Aritzia automates data quality across 500+ sources in #BigQuery with Anomalo. ??? April 11 at 11:15 AM - Add it to your agenda: https://lnkd.in/gTeGqt49 #GoogleCloudNext
Anomalo
软件开发
Anomalo is a complete data quality platform that automatically detects and explains issues in your enterprise data.
关于我们
Anomalo is a complete data quality platform that automatically detects and explains issues in your enterprise data. All without writing code, configuring rules, or setting thresholds. Let us help you trust the data you’re using to make decisions and build products.
- 网站
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https://www.anomalo.com/
Anomalo的外部链接
- 所属行业
- 软件开发
- 规模
- 51-200 人
- 类型
- 私人持股
- 创立
- 2018
产品
![点击此处查看Anomalo]()
Anomalo
数据质量软件
Anomalo helps enterprises build confidence in the data they use to make decisions and build products. Enterprises can simply connect Anomalo’s complete data quality platform to their data warehouse and begin monitoring their data in less than 5 minutes, all with minimal configuration and without a single line of code. Then, they can automatically detect and understand the root-cause of data issues, before anyone else.
Anomalo员工
动态
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Take a meeting with us at the event and take home a free copy of our book, "Automated Data Quality Monitoring." Book your meeting today: https://lnkd.in/eqs2cjWY #DataIntelligenceDay
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?? Diving into Chapter 3 of our O'Reilly series, "Automating Data Quality Monitoring," we explore whether automated data quality is the right investment for your business. Automated monitoring requires careful consideration. To determine its worth, evaluate your data’s characteristics, industry demands, and infrastructure maturity. Does it offer significant ROI? Is it a practical step forward? Find out how to make the right business decision: https://lnkd.in/ddiA5-Su
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Anomalo was recognized for the first time in Gartner’s Magic Quadrant for Augmented Data Quality Solutions! As this year’s only modern data quality vendor to be added, we’re shaking up a legacy field with our machine learning–first approach. Learn more about how we’re reinventing enterprise data quality with the world’s most data-intensive companies like ADP and Discover Financial Services: https://lnkd.in/gzmMweuC
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Thank you, Tyler Prince! Excited to continue building our partnership with you and the Snowflake Team.
We’re investing in Anomalo, an advanced data quality monitoring platform. Anomalo uses AI and ML to automatically detect and explain issues in enterprise data, ensuring that businesses can trust the data fueling their decisions and models. We're excited about the enhanced capabilities this closer partnership will bring to our customers. With this investment, we’re deepening our collaboration through key technology integrations. Get started with data quality monitoring today—Anomalo’s Snowflake Native App is now available on the Snowflake Marketplace: https://lnkd.in/gYzPdi9j
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Anomalo转发了
Great coverage of?Snowflake’s strategic investment in?Anomalo?today from?The Channel Company?and?Rick Whiting: https://lnkd.in/gJc4dzcY
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Great coverage of?Snowflake’s strategic investment in?Anomalo?today from?The Channel Company?and?Rick Whiting: https://lnkd.in/gJc4dzcY
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Big news! Snowflake has announced a strategic investment in Anomalo- signaling that data quality is mission-critical for enterprises looking to unlock the potential of data and AI. This is a testament to Anomalo’s unique approach. Built specifically for the enterprise, our AI-powered approach to data quality monitoring goes beyond rules and basic data observability to automate data quality at enterprise scale. We’re building the future of data quality at Anomalo, with data quality across both structured and unstructured data to support all data teams and all data use cases from Analytics, ML, and Generative AI. With Snowflake by our side, we’re excited to continue building a more data-driven world: https://lnkd.in/gbEvbFsi
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By 2026, 60% of organizations will prioritize data quality within their governance strategies, a sharp rise from just 20% in 2022. This shift highlights the critical importance of reliable data for AI, analytics, and informed decision-making. At Anomalo, we're driving this change, ensuring data reliability with solutions that support enterprises such as Discover Financial Services, Nationwide, and Atlassian. The integration of AI and Machine Learning is shaping the need for robust data governance, especially important in industries like retail and financial services, where AI-driven decisions are crucial. Organizations that embrace automated, scalable, and well-governed data ecosystems will gain a competitive edge in analytics-driven decision-making and AI-powered innovation. Watch the video with Paul Nashawaty of SiliconANGLE & theCUBE and Anomalo's Amy Reams:?https://lnkd.in/gQQRjstP