![]() ![]() Any customisation will require dev activities from our end. Supports Google SSO, Slack, Email integration. Feature-rich with easy user, query, segment & dashboard management & classification. Supports proper database for application metadata. Verdict: Initially came up as strongest contender, but doesn’t do exceptionally well in any area. Lot of features compared to Re:dash and QuickSight. Below we’ve tried to outline our observations around some of them (not covering Knime, Pentaho, BIRT and others that we also looked at): In this direction, we explored and tried out a lot of BI solutions for our needs. It should also provide alerting so we can consume data in a push manner and be interactive in nature, so as to enable exploratory analytics. And cost shouldn’t be a limiting factor for the same.Ībove all, the platform should provide easy dash-boarding, robust visualisation layer, enable collaboration so that all can share insights with one another. Mobile friendly: The solution should have mobile device interface as lot of us are typically on-the-go.Īvailability: The solution should be available to all, across functions & roles & levels. And hence won’t truly help in making data centric decisions. ![]() Super fast: If it takes more than a few seconds to load insights, it wont be used as much. Also - it should break silos, provide quality content and make BI habitual. People friendly: The solution should enable users with choice of what their dashboards reveal. It should allow everyone at the company to do exploratory analytics and dive deeper into data without the need of an analyst. Non complex: The solution should mask the complexity and be intuitive & self-serve for users who can’t write SQL. Also, we were interested in exploring an open source lightweight BI solution which could help us alleviate the aforementioned problem areas. We were aware of these deal breaking challenges beforehand and wanted to come clean in the first attempt. Expensive if exposed to the entire organisation.Poor user experience for users who can’t write SQL.In general, some of the major adoption challenges for any BI solution are: ![]() The framework should typically help retrieve, analyze, transform and report data for business intelligence use cases. To leverage centralized data repository as indispensable assets for competitive edge.To position our value proposition in-line with the foreseeable trends.To data-drive enterprise strategic directions.In slightly more specific terms, we needed a solution that could help: It is a capital mistake to theorize before one has data- Arthur Conan DoyleĪfter setting up our Data Platform, in our quest to empower the business & internal users, we wanted to adopt a BI solution. To request a customized training for this course, please contact us to arrange.We did not want to be like the pointy-haired boss!.Hands-on implementation in a live-lab environment.Know the best practices and tips on using Metabase and resolving common issues.Build analytics charts and dashboards to get business insights.Use the features and tools in Metabase to write SQL queries.Learn how to query, aggregate, and visualize data in Metabase.Set up and install Metabase to start building data visualizations and dashboards.This instructor-led, live training (online or onsite) is aimed at data analysts and data scientists who wish to use Metabase to collect, query, and visualize data for business intelligence analysis and reporting.īy the end of this training, participants will be able to: It provides a simple and user-friendly interface for creating and configuring data visualizations and dashboards. Metabase is an open source business intelligence (BI) tool. ![]()
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