Self-Serve

Practical Data Analytics: Dashboards, Reports, and Insights Data work helps teams make faster and wiser choices. Dashboards show current status at a glance, with real or near-real data. Reports collect data over a period and tell a story in words and numbers. Insights come when you compare data over time, find patterns, and ask why. To make these tools useful, start with clear business goals. Pick 3–5 key metrics that reflect what matters. For a sales team, this could be revenue, conversion rate, and new opportunities. For support, consider ticket volume, response time, and customer satisfaction. Define how often you will update each metric and what a good value looks like. ...

Data Lakes vs Data Meshes: Modern Data Architectures Data lakes and data meshes are two popular patterns for organizing data in modern organizations. A data lake is a central repository that stores raw data in many formats, from sensor logs to customer images. It emphasizes scalable storage, broad access, and cost efficiency. A data mesh, by contrast, shifts data ownership to domain teams and treats data as a product. It relies on a common platform to enable discovery, governance, and collaboration across teams. Both aim to speed insight, but they organize work differently. ...