Connect Your Data

Welcome to Scoop Analytics! Before you can explore insights, visualize trends, or build presentations, you'll want to connect and upload your data. Scoop supports a wide variety of data ingestion methods designed to get your information in quickly, cleanly, and with minimal hassle—no technical background required.

Ways to Bring Data into Scoop

Scoop lets you connect almost any business data source, from simple spreadsheets to live feeds from cloud services. Below is a quick summary of each supported path, and how to choose which one fits your needs:

  • File Upload: Fastest way to bring in standalone data—csv, XLSX, tab-delimited, or exported reports.
  • API Connectors: Set up scheduled, automatic data pulls from over 100 SaaS and cloud apps (like Salesforce, HubSpot, Google Sheets, and more).
  • Database Connections: Link to SQL databases securely for ongoing or on-demand imports.
  • Other Sources: Advanced paths for PDF, HTML, custom integrations.

No matter how you start, Scoop will scan your data, auto-detect formats, suggest schema, and recommend additional steps if clean-up or transformation is needed. Let's dive into the options:

Which Ingest Method Should I Choose?

Use this table to pick the path that fits your data type, update needs, and experience level:

Your goal or data typeRecommended MethodWhen to use this
Upload a one-off spreadsheet or reportFile UploadFor CSV, Excel, or tab-delimited files. Quickest for one-time loads.
Keep dashboards current with SaaS/cloud appsAPI ConnectorsFor live data, regular refreshes, or recurring updates.
Periodically import new rows from a databaseDatabase ConnectionFor custom data warehouses or internal SQL/Cloud DBs.
Extract table data from PDFs or HTML reportsOther SourcesWhen you have legacy reports or web data and need conversion.

Tip: Scoop can handle both structured and semi-structured data. If your data source is new or unusual, start with File Upload—you'll receive specific guidance for next steps.

Quick Links to Detailed Guides

What Happens Next?

Once your data is connected, Scoop automatically:

  • Scans your data structure: columns, types, dates, hierarchies
  • Checks for subtotals/totals and hidden rows
  • Suggests data prep steps if needed (all with spreadsheet-like logic)
  • Lets you preview and transform data before it’s imported

You'll see instant feedback if any values are ambiguous, and can always adjust mappings and types with just a few clicks.

Tip: Not sure how to prep your data for analysis? Scoop uses built-in AI to recommend transformations, groupings, and even flags potential issues automatically.


You’re just a few clicks from actionable analytics. Choose your method, follow the linked guide, and start discovering insights in minutes!