Thumbnail Data Workflow 3

04.09.24 Crafting Data Color spost thumbnail template

Duane Headshot

Blog hero background data transformation

Mike Bostock

06.20.24 Scales of Business

Robert Kosara Headshot

Thumbnail Data Transformation 2

Allison Horst headshot

User-facing analytics thumbnail

Thumbnail Product 3

Deepti Srivastava headshot

05.28.24 Fighting dashboard rot

Clint Bagley headshot

jeff-headshot

better-dashboards-thumb

07.23.24 Why Observable tumb A+

Deepti Srivastava

Duane Millar Barlow

Allison Horst

Clint Bagley

Robert Kosara

Jeff Pettiross

User-facing data apps are different from traditional internal-facing BI dashboards, both in terms of their users and their use cases. In this post, we discuss these differences and present strategies for creating successful data apps for users external to your organization.

How to build successful user-facing data apps

A good dashboard helps people quickly understand data and make decisions. This post offers seven ideas and guidelines to help you make better dashboards for your users.

Seven ways to design better dashboards

Building custom data apps is expensive and time-consuming. Observable helps you create dashboards and data apps faster and easier, and offers hosting customized for data apps in organizations.

How Observable makes building data apps faster and easier

When dashboards display data at a much higher resolution or frequency than required for informed decision-making, viewers can get lost in the weeds. In this post, we share strategies to build better dashboards that align with the scale of business decisions, so that viewers can focus on changes that actually matter for their organization.

Better dashboards align with the scales of business decisions

Are your dashboards providing value to your users or are they rotting away in obscurity? Here are five strategies for building better dashboards — and keeping them that way.

Five strategies to fight dashboard rot

See how we created the Observable 10 color scheme and pick up some tips and tools for effectively coloring your charts and dashboards.

Crafting data colors and staying on brand

Data visualization is helping biotech and pharmaceutical teams ask the right questions and uncover insights that drive better outcomes for their patients and their businesses.

How biotech and pharma teams use dataviz to identify patients, and deploy faster treatment

Observable is now using the TypeScript Language Server to provide contextual editor hints. Software Engineer Duane Millar Barlow explains how it was implemented.

Bringing the TypeScript Language Server to Observable

For businesses, there is an urgent need for cross-functional teams to quickly discover data-driven insights to inform business decisions. Here's how it's done.

Future of data work: empowering data practitioners

For this week’s Future of Data Work series, we sat down with our CTO Mike, where he shares what motivates him in his own work, as well as how he hopes people work with data in the future.

Best practices