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Anodot Blog Page 25

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Blog Post 9 min read

Top Use Cases for Demand Forecasting Using Autonomous Forecast

Predicting future demand for a company’s products or services is challenging. Anodot's ML-based Autonomous Forecast provides comprehensive autonomous forecasting of business growth and demand for organizations today.
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Blog Post 3 min read

Slack Loses $8M to Outages

What happened in July was one of many outages for Slack. In fact, the company lost $8 million in revenue last quarter after its platform went down for what accumulated to two hours in the course of 92 days.
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What Makes Automated Anomaly Detection Truly Automated
Blog Post 5 min read

What Makes Automated Anomaly Detection Truly Automated?

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Blog Post 6 min read

5 Critical Shortcomings of Traditional BI Tools

Even at peak performance, traditional BI tools can miss key issues. See the main reasons they don't perform as well as AI-driven analytics tools.
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Blog Post 2 min read

Creating an Alert in Anodot is Now Easier Than Ever

Our new UI allows users to create alerts on the Anodot platform in just a few steps!
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Anodot business monitoring
Blog Post 5 min read

Atlassian: Anodot is our ‘Safety Net’

Atlassian, the software company behind Jira and Trello, credits Anodot with keeping their employees in touch with product performance and customer experience.
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Blog Post 7 min read

Build It or Buy It? Weighing the Options for Outlier Detection Implementation

As companies realize the benefits they can achieve from automated outlier detection rather than with the manual dashboard monitoring and alerts used in traditional BI tools, they’re faced with the immediate question: build our own system or buy one?
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Why Every Data Leader Needs ETL Monitoring
Blog Post 5 min read

Why Automatic ETL Monitoring Ensures Data Quality

When there's too much data to monitor manually, automated anomaly detection is a MUST for preventing data quality issues.
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Twitter Anomaly Detection
Blog Post 5 min read

Cash in on the Conversation: Identify Opportunity with Twitter Anomaly Detection

Because opportunities can open and close very quickly on social media, your anomaly detection needs to track and correlate data in real time.
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