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.
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As AI becomes increasingly integral to business operations, effective governance is essential to ensure innovation remains safe, auditable, and compliant. According to IDC research, the two top concerns for organizations investing in generative AI solutions are: the lack of GenAI skills or expertise within the organization and the accuracy of AI-generated outcomes. Building AI literacy and leveraging accurate, trusted data are crucial for driving successful AI initiatives.
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Tap into the power of data governance with a playbook that turns compliance into innovation and widespread adoption in financial services.
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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.