Soda AI

1. Soda AI detects missing customer records.

2. The system alerts the data engineering team.

3. The team investigates the source of the missing data.

4. They implement a fix to ensure all customer records are captured.

5. Soda AI confirms the issue is resolved.

1. Soda AI identifies duplicate sales records based on predefined rules.

2. The system flags the duplicates for review.

3. The sales operations team reviews the flagged records.

4. They merge or remove the duplicates.

5. Soda AI monitors to prevent future duplicates.

1. Soda AI validates transactional records against predefined schema.

2. The system detects invalid data types or formats.

3. The finance team is alerted to the invalid records.

4. They correct the invalid data or reject the transactions.

5. Soda AI confirms the data is valid.

1. Soda AI monitors the freshness of data feeding into real-time dashboards.

2. The system alerts if data is not updated within the defined threshold.

3. The data engineering team investigates the data pipeline.

4. They resolve any issues causing data staleness.

5. Soda AI confirms data is fresh.

1. Data contracts are defined and published using Soda AI.

2. Soda AI automatically checks data products against the contracts.

3. Violations are flagged and reported.

4. Data product owners address the violations.

5. Soda AI confirms compliance with data contracts.