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Keboola

Revolutionize Your Data Workflow: Keboola CLI Meets Cursor AI

We at Keboola believe that there can’t be too much efficiency in data engineering. Any data professional would surely agree, there is no such thing as good enough. And while better tools sometimes offer incremental steps, pushing the needle a little step at a time, a combination of tools can lead to impressive synergies. Keboola CLI and Cursor AI are exactly that—a combination that’s more than a sum of its parts.

Overcoming ESG Data Challenges: Why 2025 is the Year to Act

Environmental, Social, and Governance (ESG) reporting is no longer a forward-thinking corporate initiative—it’s an immediate business imperative. With regulatory deadlines fast approaching, stakeholders demanding transparency, and the financial risks of inaction rising, companies must move beyond reactive reporting to proactive ESG data management.

Unlocking the Power of ESG with Integrated Data Insights

Organizations currently face a fragmented ecosystem of data sources, collection methods, and reporting requirements. Many rely on manual processes and disconnected systems, leading to inefficiencies and increased risk of errors—approximately 70% of organizations struggle with data consistency and validation. The financial sector has emerged as a primary driver of ESG data management evolution, with investment decisions increasingly tied to sustainability performance.

Overcome ESG Data Challenges with Complimentary Gartner Market Guide

Managing ESG data is complex but essential. Gartner’s Market Guide for ESG Reporting and Management Software states, "Without integrated ESG reporting, companies risk compliance breaches and reputational harm." This guide provides a roadmap to tackle ESG challenges and build a robust reporting strategy.

Keboola to Simplify the Management of Sustainability Data

Keboola, the self-service data management platform, develops a comprehensive platform that simplifies Environmental, Social and Governance (ESG) data management. It automates data collection, monitors key performance indicators (KPIs), and provides real-time insights across all client entities. By replacing manual processes, it ensures precision, uniformity, and adherence to ever-changing regulations.

Improving Data Pipeline Reliability with On-Call Data Teams

A big part of data teams’ responsibilities is dealing with the unpredictable. Data pipelines don’t always run without incident: you need to rerun processes and fix data processing issues—in other words, put out data fires—to keep stakeholders happy. For every significant roadblock, additional time and effort is given over to investigation and post-mortem reports to make sure the incident doesn’t reoccur. But naturally, they keep happening.

Mind the Gap: Serving Up a Unified Business Data Model for QSR Success

‍ In our previous article, The Key to Unlocking QSR Growth, we discussed the guiding principles that lay a strong foundation for success in the Quick Service Restaurant (QSR) industry. We highlighted the importance of data analytics for improved decision-making, automation, and scalable growth.