Did you know that our Data Quality Monitoring allows data teams to: • Visualize data quality trends across their entire data ecosystem • Quickly identify and diagnose issues before they impact downstream processes • Set custom alerts for critical metrics and KPIs As data volumes continue to grow exponentially, maintaining high data quality is more crucial than ever. Anomalo's latest innovation empowers organizations to proactively manage data quality at scale, ensuring reliable insights and decision-making. To learn more, visit https://bit.ly/3VrDZfa #DataQuality #Analytics #AnomaloDashboard
Anomalo
Software Development
Anomalo is a complete data quality platform that automatically detects and explains issues in your enterprise data.
About us
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.
- Website
-
https://www.anomalo.com/
External link for Anomalo
- Industry
- Software Development
- Company size
- 51-200 employees
- Type
- Privately Held
- Founded
- 2018
Products
Anomalo
Data Quality Software
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.
Employees at Anomalo
Updates
-
In today's fast-paced business environment, keeping your data fresh is more crucial than ever. Data freshness ensures your insights are timely and accurate, driving better decision-making. Outdated data can lead to missed opportunities and costly mistakes. Why Does Data Freshness Matter? - Financial Forecasting: Prevent misguided decisions and resource misallocations. - Inventory Management: Avoid stockouts and overstocking. - Customer Insights: Capture recent trends for effective marketing strategies. To learn more about data freshness, read the blog: https://bit.ly/3S32qip #DataQuality #DataFreshness #BusinessIntelligence #DataDriven #Anomalo --- Feel free to connect and share your thoughts on how you're ensuring data freshness in your organization!
Defining Data Freshness: Measuring and Monitoring Data Timeliness
https://www.anomalo.com
-
We are thrilled to welcome our new hires to the team - Sierra Allred, Kaliel Williamson, and Danny Walcoff! Welcome to the rocket ship! 🚀
This content isn’t available here
Access this content and more in the LinkedIn app
-
Did you hear that we now offer advanced capabilities in monitoring unstructured text data? That's right, this enhancement, currently in private beta, empowers enterprises to effectively manage, curate, and utilize large volumes of text data while safeguarding against quality issues. In today's data-driven world, where unstructured data dominates, ensuring its quality is paramount and our new monitoring feature addresses this challenge by evaluating text for metrics like duplicates, sentiment, and sensitive content, crucial for robust AI model training and compliance. Discover how we are shaping the future of data quality and AI reliability, read https://bit.ly/4f6v77Y #DataQuality #AI #UnstructuredText #DataManagement #DataAI202
Anomalo Expands Data Quality Platform to Include Unstructured Text Monitoring
futurumgroup.com
-
In today’s digital age, the exponential growth of data presents significant challenges. To harness the power of your data, it’s crucial to have a robust system for organizing and understanding data assets. Metadata management tools automate the capture, storage, and governance of metadata, offering improved data discovery, enhanced data quality, streamlined data governance, and better compliance management. When choosing a metadata management tool, consider your organization’s specific data goals, the types of data you handle, and how the tool integrates with your existing infrastructure. Key features include data lineage tracking, access control, efficient data search capabilities, and automation in metadata capture. Emerging trends like AI and machine learning are transforming metadata management, offering automation and predictive analytics. Choosing the right tool is a critical decision that can significantly impact your organization’s data management capabilities. To unlock the full potential of your data assets with the right metadata management tool, read the blog https://bit.ly/4cMWm5e #DataManagement #Metadata #BusinessIntelligence #DataGovernance #TechInnovation
How to Choose the Right Metadata Management Tool
https://www.anomalo.com
-
Want to hear something cool? CRN has named Anomalo among the top 10 big data tools of 2024! We’ve been recognized for our advanced data quality monitoring capabilities. But don’t take our word for it; check out the article: https://bit.ly/3L9hHKq #BigData #AI #DataManagement #DataAnalytics #Innovation #TechTrends #BusinessIntelligence #DataGovernance
The 10 Coolest Big Data Tools Of 2024 (So Far)
crn.com
-
Anomalo reposted this
These companies made our list of the coolest big data tools of 2024 so far. ↓ Here's why Rick Whiting says they make the cut 🔗 https://bit.ly/4bmSsiF. - Anomalo - Databricks - EDB - MongoDB - MotherDuck - Pinecone - Qlik - Scoop Analytics, Inc. - Starburst - SurrealDB Qlik Partner Network #AIdata #AIapplications #GenAI Image description: A square graphic featuring an abstract digital image of a 3D rendering of a big data code matrix. The background is a dark cobalt blue with varying sized small dots in shades of bright teal, cobalt blue, periwinkle and light bright purple, arranged in a sporadic pattern. At the bottom of the image, the news headline for the story shared in this LinkedIn post, in white text, written in sentence case, says, "The 10 Coolest Big Data Tools Of 2024," with the words "So Far" in parentheses. CRN's logo is in red in the upper right-hand corner.
-
-
Discover the importance of data consistency and how it impacts your organization's operational efficiency and strategic decision-making in our latest blog post. Learn about the types of data consistency, challenges in maintaining it, and best practices for ensuring reliability. Plus, find out how Anomalo can help tackle data inconsistencies with its advanced AI algorithms. Read the full article here: https://bit.ly/3JPtZqB #DataConsistency #DataQuality #AI #Anomalo #BlogPost
Data Consistency: What Is It And Why Is It Important?
https://www.anomalo.com
-
Data quality is foundational to every business system, whether customer-facing or internal.; and we're revolutionizing data quality management with AI-driven automation. Our platform ensures your data is accurate, timely, and complete, preemptively identifying issues before they impact operations. Curious about what we are doing? - Machine Learning: Self-supervised models monitor datasets autonomously, detecting anomalies without manual rules. - Root Cause Analysis: Automated alerts and natural language explanations pinpoint data discrepancies swiftly. - Customizable Monitoring: Easily implement tailored checks and business logic to suit unique data challenges. Discover how Anomalo is reshaping data reliability with cutting-edge technology in our latest in article in The New Stack https://bit.ly/3RKz7AI. #DataQuality #AI #Automation #TechInnovation #DataManagement #Anomalo #MachineLearning #LinkedInLearning
Improving Data Quality: Anomalo and Automated Monitoring
https://thenewstack.io
-
With the release of Snowpark Container Services in the Snowflake Native App Framework, Snowflake customers can now easily try, buy, and deploy Anomalo directly within Snowflake. This new capability simplifies the process for users to get started with Anomalo's data quality monitoring. Why Use Anomalo? Snowflake users handle vast amounts of data from various sources to drive critical business decisions. Reliable data is crucial because bad data can lead to flawed business practices. Inaccurate data can significantly impact machine learning models, making it difficult to trace and correct errors. Anomalo uses a combination of user-defined parameters and AI-powered monitoring to analyze data, identify suspicious changes, and provide proactive alerts and root cause analysis. This ensures data issues are quickly addressed, maintaining data integrity. To learn more about Anomalo’s Snowflake Native App, read the blog https://bit.ly/3KOiFf5 #Snowflake #Anomalo #DataQuality #AI #MachineLearning #Snowpark #DataSecurity #CloudComputing #BigData
Coming soon: Anomalo's Snowflake Native App using Snowpark Container Services