Best Data Visualization Software for Reddit

Improvado is an AI-powered marketing intelligence platform that enables marketing and analytics teams to unlock the full potential of their data for impactful business decisions. Designed for medium to large enterprises and agencies, Improvado seamlessly integrates, simplifies, governs, and attributes complex data from various sources, delivering a unified view of marketing ROI and performance. With 500+ ready-made connectors extracting over 40,000 data fields from virtually every marketing platform you use, Improvado seamlessly: - Integrates all your marketing and sales data into a unified dashboard - Normalizes disparate data structures into consistent, usable formats - Generates instant reports that previously took days to compile manually - Delivers real-time cross-channel performance insights - Automatically updates your visualization tools like Tableau, Looker, or Power BI

Supermetrics started with a bold idea: to make marketing data simple and accessible for businesses everywhere. Today, over 200K organizations, including Nestlé, Warner Bros, and Dyson, trust Supermetrics to streamline their marketing analytics. What began as a solution to connect data has evolved into a platform that extracts and consolidates data from 150+ marketing and sales platforms—like Google Analytics, Facebook Ads, and HubSpot—into preferred destinations. This has earned Supermetrics a spot on G2’s 2024 Top 50 Best EMEA Software Companies list. Driven by a commitment to innovation, transparency, and customer success, Supermetrics empowers marketers to use data to solve problems and create opportunities. With a collaborative culture fostering creativity, Supermetrics is dedicated to helping clients succeed in a competitive market. As marketing evolves, Supermetrics will continue to innovate, delivering powerful tools and a unified approach to marketing analytics worldwide.

Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore, and analyze it with real-time collaboration and version control. Users can easily share project links with team collaborators, or with end-users to present polished assets. All of this is done through a powerful, browser-based UI that runs in the cloud. We built Deepnote because data scientists don't work alone. Features: - Sharing notebooks and projects via URL - Inviting others to view, comment and collaborate, with version control - Publishing notebooks with visualizations for presentations - Sharing datasets between projects - Set team permissions to decide who can edit vs view code - Full linux terminal access - Code completion - Automatic python package management - Importing from github - PostgreSQL DB connection