Title

AWS re:Invent 2022 - Migrating business intelligence systems to Amazon QuickSight (PEX307)

Summary

• The session covered best practices, methodologies, and tools for migrating business intelligence (BI) dashboards to Amazon QuickSight.
• Tamara Stahova, Senior Partner Solution Architect at AWS, introduced the session and her colleagues Shonak Chandra and Narendra Joshi.
• The session began with an overview of BI trends, emphasizing the shift from big data to data analytics strategies.
• Key BI trends discussed included continuous intelligence, embedded analytics, data preparation and visualization, data security and governance, and BI with machine learning.
• Amazon QuickSight was presented as a solution to address challenges with existing BI tools, offering benefits like cost-effectiveness, scalability, ease of embedding, deep AWS integration, and built-in machine learning capabilities.
• Use cases for Amazon QuickSight were discussed, including embedded insights, interactive dashboards, and enterprise reporting.
• Customer stories were shared to demonstrate successful migrations to Amazon QuickSight.
• Shonak Chandra discussed BI migration tools, best practices, and the use of APIs and CLIs for automation in the migration process.
• A demo was provided to show how to use QuickSight APIs to create and update data sources, datasets, and dashboards.
• Narendra Joshi from Infosys shared insights on who should use QuickSight and how Infosys leverages the AWS ecosystem for BI solutions.
• The session concluded with a call to action for becoming an Amazon QuickSight partner and a reminder to complete the session survey.

Insights

• The shift from big data to data analytics strategies reflects the need for organizations to make better decisions and respond quickly to changes.
• Continuous intelligence and real-time data are becoming increasingly important for organizations to stay agile.
• Embedded analytics and self-service capabilities are trends that empower users to access and work with data more efficiently.
• Data security and governance remain critical, especially with the increasing volume of data and stringent regulatory requirements.
• Machine learning integration in BI tools like Amazon QuickSight is making advanced analytics more accessible to business users without requiring deep technical expertise.
• Amazon QuickSight's pay-per-session pricing model and serverless architecture can lead to significant cost savings and operational efficiencies for organizations.
• The use of APIs and CLIs for BI migration to Amazon QuickSight can greatly streamline the process and reduce manual effort.
• Infosys' insights highlight the importance of not just QuickSight's features but also the broader AWS ecosystem in delivering comprehensive BI solutions.
• The session emphasized the opportunities for AWS partners to engage with QuickSight and the support available through AWS programs for partner development.