Which Cloud Data warehouse solution are you currently considering for your organization?
Azure66%
Snowflake31%
AWS Redshift8%
32 PARTICIPANTS
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My ESG team uses a dedicated application to consolidate indicators for external reporting. This system manages a workflow where a designated owner submits data and a validator approves it. However, the process is heavily manual and lacks system integration. With upcoming regulations like CVM 193 in Brazil, the pressure for accurate, auditable, and timely ESG data is intensifying, and our current tool is being questioned. Question: What strategies or platforms have you implemented to automate the extraction of ESG data from various source systems (EHS, HR, ERP, etc.) into a centralized reporting tool?
I work for a company with geographically dispersed operations, and we are facing significant challenges with our data collection and reporting processes for HSE (Health, Safety, and Environment). We collect a variety of environmental data (e.g., water quality indexes, equipment training compliance) from multiple sites. Our current data collection application has critical governance gaps. When an indicator shows a deviation, we struggle to trace its origin because the system lacks a clear audit trail. We cannot confidently verify who entered the data or when, which undermines the reliability of our HSE indicators. Furthermore, our data collection forms are rigid. Any request to add or modify fields requires our development team, leading to significant delays and hindering our ability to adapt to new requirements quickly. Questions: 1. How do you ensure robust data governance for HSE indicators? What tools or best practices have you found effective? 2. Have you successfully empowered your business or HSE teams to create and modify data collection forms without developer dependency? If so, what low-code/no-code platforms or solutions do you recommend?
What’s your top barrier to adopting AI-driven pentesting?
Lack of mature vendor solutions53%
Trust in AI accuracy67%
Budget constraints20%
Skills to operate the tools30%
What is your biggest fear with migrating to the cloud?
Data Security33%
Data Migration Complexity32%
Performance Concerns21%
Integration With Other Tools28%
Budget/Cost52%
We are using Databricks on top of Azure as our core enterprise data platform