Data Done Differently
We built Datawisp to be easy to use, but uncompromisingly powerful.
Each block does powerful analytics work for you; string them together to do complex analysis with just a few clicks. These are the most commonly used ones:
The data block represents the data that you're analyzing. It's the starting point for all analysis.
Summarize / Group
Quickly understand overall trends in your data with summary metrics. Calculate values like count, sum, average, etc. for any grouping of data.
Combine lets you easily add rows or columns from one data set to another, so you can leverage all the data at your dispoas
Filter lets you cut or segment your data by removing certain rows.
Visualize your data in a chart and share it with stakeholders.
Add a new column, then pick what goes in it. You can choose from a range of calculations and True/False conditions.
Datawisp works with most major data types.
Have a question about your data? Ask us at firstname.lastname@example.org
You can upload files directly from your computer to Datawisp. We’ll store them in your account.
- Google Sheets
Connect to your data using Postgres, MySQL, and more.
- Microsoft SQL Server
- Amazon Redshift
- Google BigQuery
Easily access your on-chain data, combine it with web2 data, and make the most out of the metaverse – right in our app.
Datawisp is different from other analytics tools. It’s designed to save you time and foster collaboration.
Import files from your PC
Connect directly to databases
Process data directly on your own infrastructure
Standard data format makes combining different data sets easy
No complicated data pipelines to set up
Analyze trends in data over time
Calculate churn and retention
Test new products and strategies
Aggregate data to understand variables
Create charts and dashboards to see live metrics
Track critical customer segments across their lifecycle
Export and sharing
Share in multiple ways to the right audience: dashboards, pipelines, or read only sheets
Easily export charts and tables to external tools like Excel and PowerPoint
Create public share links to share on your social platforms and elsewhere
Connect Datawisp analysis to your platform of choice via API
Collaborate in real-time just like Google Docs
Create teams and invite the right people to collaborate on your project
Build a common language for data analysis across your company by connecting Datawisp Blocks together
Access to in-house data scientist
Dedicated Slack or Discords channel for your team
In-app live chat for simple questions
Suggest product enhancements and help direct future versions of Datawisp