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Harvest Forecast

Harvest Forecast is a Partner Data Source. Please see our Documentation to learn more about partner data sources.
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Harvest Forecast BI Integrations

Modernizing Harvest Forecast BI

Preparing for analytics

Do you spend more time on data preparation or analysis? If you’re like most data analysts, you spend most of your time exporting CSVs, hacking spreadsheets, maintaining Python scripts, and managing databases. And you do all this hard work just for managers to ask why your reports don’t include today’s data. Your data deserves better, and so do you.

Automating data management

That laborious process of syncing and synthesizing data is called data management. Yes, it’s important—everyone knows good analysis requires good data. But every minute spent managing data is a minute that could be spent on analytics. The good news is that these processes can be automated and managed in the cloud without any complicated scripts or engineering expertise.

Your Harvest Forecast data analytics platform

Panoply is the easiest way to sync, store, and access your Harvest Forecast from all your business intelligence tools and analytical notebooks. It only takes a few minutes to connect your Harvest Forecast data to Panoply. Once connected, Panoply will automatically refresh your data as it changes. There are no scripts to maintain or processes to manage. You can focus on what matters your data and your business.

Panoply makes your Harvest Forecast data accessible
so you can analyze it

Expected Harvest Forecast Data
Here’s a sample of the Harvest Forecast data that you can sync, store, and access with Panoply:
Details about specific assignments, including start dates, the number of hours allocated for the assignment, and the associated project and person IDs.
Client information, such as name, contact info, and the currency code associated with the client.
Info about project milestones including the milestone name and date.
Data about the people associated with a project in Harvest. Includes details such as name, role, the number of hours they can work each week, and their availability by day of week.
Details about your projects including project ID, name, associated client, start date, and any tags associated with the project.
Data about the roles in your Harvest account including name, ID, and the ID of the people associated with the role.

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