The Collaborative Data Science Platform

Mode wins gold Stevie award for best customer service

Interactive data science meets modern BI

for fast, exploratory analysis company-wide

Solutions for teams

Data

Finance

Operations

Product

Sales & Marketing

Data

Faster and deeper analytics in a single platform

Run fast, advanced analysis by seamlessly switching between a cloud-based SQL Editor, Python & R notebooks, and interactive visualizations. Focus on analysis, while stakeholders self-serve.

Key features

Full R & Python Notebooks
A shared, cloud SQL Editor with multiple tabs and charts
Interactive visualizations on millions of rows

Mode takes an awesome approach to BI and analytics. Mode combines simplicity with flexibility, which allows us to tackle a wide range of challenges, from ad hoc analysis to core business reporting.

Anthony Palacio

Analytics Manager, Stitch Data at Talend

Finance

Ad hoc revenue reports

Build dashboards for annual revenue, then use chart visualizations to identify anomalies quickly. Create polished, investor-ready reports or share analysis with teams for collaboration.

Key features

Report sharing via URL, email, and Slack
Interactive visualizations on millions of rows
Customizable reporting

Mode doesn't try to reinvent the wheel—it improves it. It is a clean, accessible environment with all the tools I need to inform, optimize, and automate parts of the business.

Alex Selby

BI Manager, Calendly

Operations

Infrastructure monitoring in one place

Connect your entire tech stack to Mode and identify upstream issues to improve performance. Speed up workflows across teams with APIs and webhooks.

Key features

Report sharing via URL, email, and Slack
Calculated Fields
Webhooks/API

Having used Periscope, Looker, Qlik, Tableau, and even Google Sheets—I needed a platform that lets me transform our data for strategy and process improvement. Mode does just that.

Alex Selby

BI Manager, Calendly

Product

Product intelligence and validation

Understand how users are interacting with your product and identify opportunity areas to inform your product decisions.

Key features

A shared, cloud SQL Editor
Visual data exploration and drill down
Report sharing via URL, email, and Slack

First, just want to say that we are LOVING Mode... We do all our product intelligence work in Mode and are very happy.

Rob Ryan

Director of Product, Appfolio

Sales & Marketing

A total view of your customer lifecycle

Leverage marketing and product data to fix weak spots in your funnel, improve landing-page performance, and understand churn before it happens.

Key features

Detailed reporting reports
Visual data exploration
Event tracking integration

Marketers, product teams, and executives are also discovering new opportunities and asking new questions. Sometimes you don't know what you're looking for until you see it.

Andrew Zirm

Senior Data Scientist at Greenhouse

52%

of Fortune 500 companies
rely on Mode.

Hear from data leaders

And how they’re navigating their teams through the uncertainty of COVID.

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Case studies

Stitch

Stitch increases data team bandwidth by 80% using Mode

Mode empowers one Stitch analyst to do the work of a full data team through speed, flexibility, and collaboration.

Mode empowers one Stitch analyst to do the work of a full data team.

Key results

80% less time spent reporting on core metrics each week
Less than 1 hour to build a company metrics dashboard
20 minutes from ad hoc question to answer

Read Stitch case study

Stitch is a cloud-first, open source platform for rapidly moving data.

Shopify

Daily reports drive customer satisfaction

Shopify now has the daily data they need to think further down the road.

Key results

Delivered reports in seconds, not hours
Automated repetitive reporting
Brought data to every role

Read Shopify case study

Shopify is an ecommerce platform that provides businesses with a toolkit to set up and run their companies online.

Condé Nast

Condé Nast transforms data culture of a global media company

Building an internal data platform to serve as a one-stop shop for 7,000 employees to get answers to their business questions helped the BI team prioritize their most important work and the entire company move faster.

Key results