Most analysts and business leaders already know which numbers they need. The hard part is getting them into a format that the business can reliably share and rely on. When your data is locked in a system of record, every new question means another export or dashboard, and by the time the answer arrives, the numbers are already stale.

In this webinar, you’ll learn how a production data app was built to replace that cycle entirely. It pulls revenue and pipeline data straight from Salesforce, and keeps it up to date automatically. No engineers or code were needed to build it, but Python runs everything behind the scenes.

Apps like this need to go further than a prototype or one-off analysis. They need to become live tools the business runs on. We’ll show you an approach for building reliable and scalable data apps, connected directly to your system of record that any team still reporting from exports and spreadsheets can build themselves with no prior coding experience required.

What you'll learn:

• Why weekly exports and static decks don't scale, and what they cost your team in hours and trust
• How a non-engineer can describe the app they need in plain language and build it in Plotly Studio without code
• How to connect the app to your data source and refresh periodically
• How to publish one shared view so different teams stop working from competing spreadsheets
• How to win back tens of hours a week, and apply the same approach to the metrics your team owns

Who it's for:

Data analysts, business stakeholders, and team leaders who want live numbers without waiting on engineering.