Title

AWS re:Invent 2022 - Trust your data with data integrity on AWS (PRT055)

Summary

• Data integrity is crucial for organizations running their business on the cloud, as it increases trust and confidence in their data.
• The talk covers three main points: the importance of data integrity, common challenges in achieving it, and the collaboration between Precisely and AWS to offer a Data Integrity Suite.
• Cam Ogden, VP of Product Management at Precisely, discusses how their mission is to help organizations improve data trust through software capabilities, enriched data products, and advisory services.
• The cloud-first trend is accelerating, with most organizations expected to be cloud-first by 2025 and the majority of data and analytics innovation happening in the cloud.
• Despite cloud advancements, there's a "messy data gap" where data trust, confidence, and integrity are not automatically improved.
• Traditional methods have failed due to data silos, costly and risky data movement, and lack of integrated experiences.
• Best practices involve collaboration between IT and business, choice in interoperable capabilities, keeping data in place, support for streaming, a unified data catalog, and automation.
• The Data Integrity Suite on AWS is a SaaS-based collection of modular capabilities that address the missing data integrity layer, enabling better business decision-making.
• The suite includes data integration, observability, governance, quality, geo addressing, spatial analytics, and enrichment assets, underpinned by a data catalog, intelligent core, deployment agents, and a data flow designer.
• The suite allows for the creation of "recipes" for handling data, such as segmenting products or improving customer engagement.
• Every data integrity journey is unique, and Precisely offers strategic services to support customers from business case development to execution.

Insights

• The emphasis on data integrity reflects a growing recognition that cloud transformation alone does not solve underlying data quality issues.
• The Data Integrity Suite by Precisely and AWS suggests a shift towards SaaS solutions that offer modular, scalable, and integrated capabilities to address specific data challenges.
• The suite's focus on keeping data in place and minimizing movement aligns with current trends towards data sovereignty and reducing security risks.
• The integration of data governance, quality, and enrichment within the suite indicates a move towards more holistic and automated approaches to data management.
• The suite's ability to provide predictive insights on data changes and automate workflows demonstrates an increasing reliance on AI and machine learning to enhance data management processes.
• The talk highlights the importance of collaboration between technical and business teams, suggesting that successful data integrity strategies require cross-functional cooperation.
• The mention of low code/no code user experiences reflects the industry's direction towards democratizing data access and analytics for non-technical users.