Customer Case Study
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.
Download now!
Whitepaper
Organizations face mounting pressure to ensure their data is accurate, compliant, and fit for decision-making. But with vast amounts of enterprise data to manage, how can teams prioritize governance efforts effectively?
Webinar Registration
Using Alation’s Data Quality Processor (DQP) and Snowflake’s Data Metric Functions (DMFs) you can automate data quality checks, centralize intelligence, and provide teams with reliable, AI-ready data. Together, with Anblicks, we’ll showcase proven strategies, grounded in both practical experience and leading research, for implementing these solutions at scale.
Analyst Report
Are you finding it challenging to grasp the concept of data products and how to manage them effectively to deliver value from data faster? Gain the clarity you need with What Do D&A Leaders Need to Know About Data Products, authored by industry expert Ehtisham Zaidi.