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Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought. | Worklytics is a workplace analytics platform that helps organizations understand and improve team productivity, collaboration, and employee experience using data from workplace tools. It aggregates and analyzes behavioral data from systems like email, calendars, and collaboration apps, while protecting individual privacy, to deliver insights that drive performance and organizational health. The platform empowers leaders to make evidence-based decisions about work patterns, management practices, and organizational effectiveness. |
A rich set of visualizations to analyze your data, as well as a flexible way to extend the capabilities;An extensible, high granularity security model allowing intricate rules on who can access which features, and integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuiler);A simple semantic layer, allowing to control how data sources are displayed in the UI, by defining which fields should show up in which dropdown and which aggregation and function (metrics) are made available to the user;Deep integration with Druid allows for Caravel to stay blazing fast while slicing and dicing large, realtime datasets; | Employee AI Adoption Metrics: Measure how employees and teams are using AI tools across workflows to track adoption, identify usage trends, and assess productivity impact., Benchmarks & Comparisons: Compare collaboration and productivity metrics against industry or internal benchmarks to highlight strengths and improvement areas., Meeting Effectiveness: Analyze meeting patterns, duration, and participation to reduce wasted time and improve collaboration quality., Organizational Network Insights: Visualize how teams connect and collaborate across functions to uncover silos, strengthen cross-team relationships, and improve organizational agility. |
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Segment is a single hub for customer data. Collect your data in one place, then send it to more than 100 third-party tools, internal systems, or Amazon Redshift with the flip of a switch.

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.