Open Source Android Business Intelligence Apps

Appacts was designed and developed with user in mind, leaving old style analytics services behind and starting fresh. We’ve looked for a way to empower our users by presenting data to them in a quick summarised view. We are here to make analytics exciting, engaging and more importantly productive, so you can make right decisions quickly.

Understand and enhance your customers' journey on your web, mobile or desktop application through Countly. Countly is an innovative, real-time, open source mobile & web analytics platform, with rich push notifications and crash reporting tools. Countly securely processes billions of data points every day from mobile, desktop and web apps to help thousands of companies visualize their data, analyze and use it to grow their business. Countly is made up of two main parts: the server collecting and analyzing data, and an SDK (mobile, web or desktop) that sends this data. It comes with several great features: a single secure dashboard where you can access all user profiles, notifications, analytics and other tools; a wealth of plugins; and the option to install Countly on premises or securely in the cloud. Countly is being used by numerous companies the world over, including Apple, AT&T, BMW, SAP, Coca Cola, Sprint and many more.

Query2Report provides a simple opensource business intelligence platform that allows users to build report/dashboard for business analytics or enterprise reporting. The application transforms bunch SQL queries to beautiful google charts. The application caters to real time reporting with automatic refresh functionality. Refer to video tutorials Concepts - https://youtu.be/NdEUZ2suiv8 Data Analytics Demo - https://youtu.be/evCf74Ou7kg Data Forecast Demo - https://youtu.be/Nmi1UIDpFpM Report Showcase - https://youtu.be/gxlEGq5iSm8 Getting Started - https://youtu.be/vyU7BUE5rbs Building First Report - https://youtu.be/MZm6rhf2_Ts Source Repo GitHub : https://github.com/yogeshsd/query2report

Semantic Assistants support users in content retrieval, analysis, and development, by offering context-sensitive NLP services directly integrated in standard desktop clients, like a word processor, and web information systems, like a wiki.