From Complexity to Clarity: How Ecolab Simplifies KPIs with ThoughtSpot

Ecolab faced challenges managing data across multiple ERPs and geographies — legacy tools required multiple models just to get the insights they needed. With ThoughtSpot, they were able to model their data in a way that preserved transaction-level detail while giving a unified view of KPIs and metrics across the organization. This not only simplified reporting but also drove higher executive adoption and faster, smarter decision-making.

Data Streaming Platforms: The Cornerstone of Enterprise AI

Is your artificial intelligence (AI) underperforming? You're not alone. Stale, fragmented data is a leading obstacle to optimal AI performance. Outdated information cripples your decision-making, fuels operational inefficiencies, and leads to missed opportunities—from slow fraud detection to irrelevant chatbot responses. AI’s rapid evolution makes real-time data even more critical: That’s why real-time data streaming isn’t merely an option.

Achieve Complete Observability Over Your Data Pipelines

Data teams today manage hundreds of moving parts, from sources and syncs to transformations and warehouses, yet often find out something’s broken only after dashboards go blank or reports turn unreliable. When every second of data downtime affects critical decisions, visibility isn’t optional; it’s essential.

Beyond Pipelines: Building the Trust Layer for AI

The IDC MarketScape: Worldwide Data Integration Software Platform 2025 Vendor Assessment (doc, October 2025) notes, “Qlik delivers a comprehensive, cloud-agnostic data integration platform that spans real-time ingestion and replication, batch ETL/ELT, data quality, data productization, and governed self-service access for analytics and AI.” In the past, data integration was largely about moving information from A to B: ingestion, transformation, loading.