Alation Brief
Ensure Trustworthy Data with Alation’s Data Quality Processor
Data quality should always be a top priority for your business. To ensure quality outputs, your data users need to know that they are working with trustworthy data! Top cloud data solution providers like Snowflake and Databricks also know this and have created tools to help analyze your data and return quality information based on rules you can apply. Now, how can your business users gain information from these results?
Alation’s new Data Quality Processor allows businesses to import data quality information generated by Snowflake and Databricks and apply rules to determine whether the results indicate their data is poor quality.
Learn how Alation’s Data Quality Processor can help you:
Have a better understanding of the quality of your data.
Give data experts the ability to create rules to set data quality thresholds.
Leverage Alation’s Data Quality Framework to visualize data quality and health.
Learn about available rules that can be applied to areas of your business.
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On-Demand Delivery Service Drives AI Success by Boosting Data Trust with Alation & Monte Carlo
This same-day shopping and delivery service faced challenges with data quality, trust, and concurrent processing issues in their backend Postgres databases. To address these, the company’s data leadership implemented a comprehensive data modernization strategy. They migrated their data to the Snowflake data cloud and adopted Alation as the front end for their data for its user-friendly interface. Additionally, they implemented the Monte Carlo data observability platform to ensure data quality with real-time lineage and alerts. This integrated solution provides the delivery company with reliable, high-quality data for business reporting and AI modeling, generating the insights needed to deliver value to their customers, shoppers, and retail partners.
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Building a data-driven culture starts with robust data literacy. How can you develop true data literacy within your organisation? Join Emyr James Head of Data, Analytics and AI Resolution Life, Patrick Bossert Data Skills Coach, Mentem by UNSW and Zach McIntryre, Field CTO Alation as they delve into strategies for advancing data literacy by employing practical techniques for stakeholder analysis, understanding data and analytics needs, and aligning your data initiatives with measurable business outcomes.
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