I hate chasing down why that dashboard looks off. You hate chasing down why that dashboard looks off. It always starts the same way: a stakeholder pings with a screenshot, something looks broken, and you find yourself deep in someone else’s query trying to track down what changed, when, and why. Meanwhile, trust in your […]
How Storing Dashboards as Code Increases Trust in Your Data Team Read More »
Lightdash now offers Custom Charts, enabling more advanced and customizable visualizations using the powerful Vega-Lite library. This unlocks the potential to go beyond standard chart types, letting you create visualizations like heatmaps, box plots, maps, and more. What is Vega-Lite? Vega-Lite is a high-level grammar of interactive graphics, built on top of the lower-level Vega
Creating Custom Charts in Lightdash with Vega-Lite Read More »
A well-defined semantic layer is the foundation of effective business intelligence (BI). By ensuring consistent data definitions and organized metrics, you empower teams to extract insights with clarity and precision. While ‘semantic layer’ was a buzzword a few years back, this blog explores why a clear semantic layer is still critical and how to implement
Why a Clear Semantic Layer is Essential for Analytics Read More »
Have you ever hit “merge” on a dbt pull request and just hope it doesn’t break everything downstream? Yeah, us too. That slight internal panic—“please don’t wreck any dashboards”—is all too familiar. Now there’s a much better way to avoid dashboard chaos: Preview Projects from GitHub Branches. This capability fundamentally changes how you can develop
Analytics teams often struggle to keep everyone aligned. Insights get stuck in dashboards, emails go unanswered, and decisions stall while people wait for data. Lightdash, an open-source analytics tool built for the modern data stack, changes that. Its Slack integration brings insights directly into your team’s conversations. Key Features of the Lightdash Slack Integration 1.
Boost Team Collaboration with Lightdash’s Slack Integration Read More »
Maintaining a clean and standardized semantic layer is essential in modern analytics. Lightdash’s dbt Write-Back streamlines this process by enabling analysts to develop models, metrics, and dimensions directly within Lightdash and write them back to their dbt project. With Git-based source control, teams can ensure their business logic remains consistent, reusable, and version-controlled. Achieving a
Keeping Your Semantic Layer Clean with Lightdash’s dbt Write-Back Read More »
Self-serve analytics tools empower non-technical users by giving them direct access to data, enabling operational directors, sales leaders, and others to assess performance and make informed decisions. Traditional centralized data teams often face bottlenecks due to numerous analytics requests for reports and automation. To address this, modern data teams are adopting a decentralized model, where
Simplify Metrics Exploration with Lightdash Spotlight Read More »
Lightdash is an open-source analytics platform licensed under MIT, designed for teams looking to provide self-service reporting to their organization. Positioning itself as an open-source alternative to Looker, Lightdash allows users to explore, visualize, and report on data without advanced technical knowledge. It’s especially popular for modern data environments due to its direct database connectivity
Self-Hosting Lightdash Guide: Step-by-Step Setup Read More »
