Introducing Visual Explorer
A game changer for exploratory analysis
Solutions for teams
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.
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.
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.
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.
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.
From a modern data stack to modern data experience
Here’s how we can revolutionize the data industry.
DownloadCase 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
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
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
- 80% decrease in time-to-insights
- 50% more people utilizing data daily
- 3x increase on number of reports viewed
Condé Nast is a global media company whose content reaches hundreds of millions of consumers.
Thriftbooks
Thriftbooks uses Mode to make better buying decisions
Building an internal data application helped Thriftbooks reduce bottlenecks and improve productivity and decision-making across the organization.
Key results
- 30 minutes to build a data application from start to finish
- 5x increase of engineering team bandwidth
- $30k saved in two weeks by identifying operational incident
Thriftbooks is the largest second-hand book selling platform, with over 13 million titles and 900 employees.
Connect your database to Mode, start analyzing
Analyze
- SQL Editor
- Python & R Notebooks
- Visualization builder
Explore
- Filters, Parameters + Drilldowns
- Code-free exploration
- Calculated Fields
Automate
- REST API
- Webhooks
- Scheduled refreshes
Share + Present
- Send reports via URL and Slack
- Embedded Analytics
- Fully custom dashboards
See what Mode can do for you
