What Are Datasets in Explore?
What Is a Dataset?
A dataset is a single, ready-to-use table of your business data that shows up under Available datasets on the Explore landing page. Each one represents one type of information — daily sales, current inventory levels, a forecast, purchase orders, and so on.
You don't create datasets by hand. They're kept current automatically, in the background, so that whenever you build a report in Explore, Mo is working from your latest numbers.
Where Do Datasets Come From?
Every dataset traces back to data you've already connected to Moselle — your sales channels, inventory systems, financial tools, and any files you've uploaded (see How Your Data Works in Moselle for how that connected data flows in and how sync timing works).
Behind the scenes, Moselle organizes that connected data into two kinds of datasets:
Standard datasets — core, always-on data like sales, inventory, and forecasts. These refresh on a regular schedule and are available to every Moselle company by default.
Custom datasets — additional data sets your company has asked Moselle to make available, tailored to your business (for example, a specific financial rollup or an operational view unique to your workflow).
If Available datasets is empty, your company's datasets haven't been enabled yet. This is expected for brand-new accounts — contact support@moselle.io or your Moselle admin to get them turned on.
Why Don't I See a Dataset I Expect?
A few common reasons a dataset might be missing:
No datasets appear at all
Your company hasn't enabled any datasets yet — contact support
One dataset is missing, others show up fine
That dataset may not be enabled for your company, or is still syncing for the first time
A dataset appeared but looks out of date
It refreshes on its own schedule — check back later, or ask Mo when it last updated
Enabling and managing which datasets are available for your company is handled by a Moselle admin under Settings. If you think a dataset should be turned on, ask your admin or reach out to support.
How Datasets Shape What Mo Builds
Different datasets are built for different kinds of reports. Picking the right one (or combining a few) steers Mo toward the answer you're actually looking for:
Sales
Revenue trends, channel breakdowns, sales velocity
Inventory
Stock coverage, weeks of supply, at-risk items
Item Projections
Forecast vs. actuals, cross-forecast comparisons, prior-year trends
Purchase Orders
PO allocation, receiving status, supplier lead time
Costs
COGS breakdowns, margin analysis
You're not limited to one dataset per report — tag more than one in your prompt (for example, Sales and Item Projections together) when you want Mo to combine them, like a forecast-accuracy report that lines up actuals against projections.
Example: Build a Forecast Comparison Dashboard
Say your team builds more than one forecast for the same period — a top-down forecast, a bottoms-up forecast, and a custom forecast someone put together by hand — and you want one dashboard that lines all of them up against each other, against actuals, and against prior year.
Tag the Item Projections Dataset
On the Explore landing page, click Item Projections under Available datasets to tag it. This dataset holds your forecasts and actuals, so once it's loaded, Mo can compare across any of them. If you don't see it listed, contact support@moselle.io to have it enabled for your company.
Review and Save
Mo builds the comparison as charts and tables on your canvas. Refine it conversationally, then save any card you want to keep to a report — see Save & Share Reports from Explore.
Because the dashboard runs against the live Item Projections dataset, it doesn't go stale. As soon as your master forecast changes, every comparison on the dashboard — vs. prior year, vs. your other forecasts — updates automatically the next time it's opened, with no rebuilding required.
Picking a Dataset When You Build
Tag It in Your Prompt
Click a dataset to add it as a chip directly in your prompt box, then describe what you want — for example, tag Inventory and type "show me weeks of supply by channel." Mo uses exactly the data you pointed it to.
Tagging a dataset is optional. Skip it and Mo will figure out the right data on its own — tagging just gives you more control when you already know what you want.
Frequently Asked Questions
Do I need to pick a dataset before building a report?
Answer: No. Tagging a dataset is optional — Mo can find the right data on its own from your prompt. Tag one only when you want to be specific about the source.
What's the difference between a "dataset" and a "report"?
Answer: A dataset is raw, live data you build from. A report is the finished chart or table you build with Mo and save — see Save & Share Reports from Explore for what happens after you build.
Can I combine more than one dataset in a single report?
Answer: Yes — tag as many datasets as your report needs, and Mo will pull from all of them.
How current is the data in a dataset?
Answer: Standard datasets refresh on a regular schedule, and custom datasets follow whatever cadence was set up for your company. Every report also re-runs against the latest data each time you open it, so you're never looking at a stale snapshot.
Related Guides
🧭ExploreBuild Charts & Tables in ExploreHow Your Data Works in MoselleLast updated