Solving Data Product Challenges with Headless BI

Building advanced data products comes with several challenges:

• end-users consume analytics in many different ways: dashboards, ad-hoc data discovery, exporting to excels or desktop BI, importing data to AI, ML, and statistical tools, receiving emails with PDF or XLS attachments
• you have to maintain consistency of the analytics across multiple consumers and the channels mentioned above,
• self-service that is required as a one-size-fits-all approach never works in analytics
• developers want to build dashboards rapidly and, as a code, integrate analytics to the stack with open APIs
• infrastructure teams need zero down-time and continuous deployment of the analytical stack, deployable to microservices-based projects
• product management need flexibility, customizability, and solution that will support their roadmap plans

In this meetup, we will explain the fundamental concepts of a headless BI with live examples. You’ll learn:

• why use the semantic model to ensure data consistency across all users of your data product
• how composable measures enable self-service analytics for your end-users
• why define metrics and all analytics objects declaratively to achieve agile, continuous delivery of your data product
• how Open APIs delivers analytics to all channels and places where your users need it

You can download your version of the headless BI from dockerhub: https://hub.docker.com/r/gooddata/gooddata-cn-ce or learn more about the product at https://www.gooddata.com/developers/.

Meet the presenter:
Martin Svadlenka, Product Manager, GoodData