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Data Quality Testing: Why to Test, What to Test, and 5 Useful Tools

Databand.ai

It enables: Enhanced decision-making: Accurate and reliable data allows businesses to make well-informed decisions, leading to increased revenue and improved operational efficiency. Risk mitigation: Data errors can result in expensive mistakes or even legal issues.

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Data Quality Testing: 7 Essential Tests

Monte Carlo

Too much data Too much data might not sound like a problem (it is called big data afterall), but when rows populate out of proportion, it can slow model performance and increase compute costs. Freshness tests can be created manually using SQL rules, or natively within certain ETL tools like the dbt source freshness command.

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A Comprehensive Guide to Operational Analytics

Striim

A 2023 Salesforce study revealed that 80% of business leaders consider data essential for decision-making. However, a Seagate report found that 68% of available enterprise data goes unleveraged, signaling significant untapped potential for operational analytics to transform raw data into actionable insights.

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