Data Science is for Everyone
Exploratory’s Simple UI experience makes it possible for anyone to use Data Science to Explore data quickly, Discover deeper insights, and Communicate effectively.
Data Science with Exploratory
In order to answer business questions with data, you need 5 pillars of Data Science tasks. They are Data Access, Data Wrangling, Visualization, Analytics, and Communication.
Exploratory’s simple UI experience provides not only the best capability in each area but also a natively integrated experience that is designed from the ground up.
Exploratory Desktop provides a Simple and Modern UI experience to access various Data Science functionalities including Data Wrangling, Visualization, Statistics, Machine Learning, Reporting, and Dashboard.
It is built on R so you can easily Extend it with thousands of open source packages to meet your needs.
Exploratory Collaboration Server
With Exploratory Collaboration Server, you can publish to share your Dashboards, Notes, Slide, Charts, and Data with others, schedule to make them always up-to-date, and interact with them with the flexible parameters at your own servers in a more controlled environment with greater flexibility.
Exploring data is a key part of my duties. Exploratory allows me to quickly walk through different scenarios, add paths, visualize and revert a few steps when I need to, all in an easy to use interface. It saves me quite a bit of time...
Chief Knowledge Officer, NASA
This is an awesome UI experience for Data Scientists.
Marcos M. Campos
Head of AI @BonsaiAI
Exploratory has changed my data analysis workflow. Now I am able to use one tool from data wrangling to modeling, but it is also flexible so that I can use it with other tools if needed by the client.
Data Analyst, Education
I can spend my time thinking about the data and coming up with questions regarding the underlying patterns rather than spending time learning all the details of the R system.
Consultant at Open Sky Consulting, LLC
You mix the power of R with a beautiful user friendly interface. I once explored a table with more than 40 millions rows in Exploratory !
Dr Anne Jamet
Anne Jamet (MD-PhD), Clinical Microbiology Resident, Hôpital Necker Enfants Malades
増谷 修 (Osamu Masutani)
Data Scientist at Japan Taxi