Scoop is now in Slack! Ask questions, get insights—try it free with your team today.
Scoop Analytics is a data workbench tailored specifically for operational professionals like revenue ops, marketing ops, and customer success teams. It bridges the gap between static spreadsheets and overly complex BI tools by enabling users to gather, manipulate, and present data without requiring technical expertise. Its dynamic storytelling capabilities allow teams to communicate insights clearly, fostering collaboration and informed decision-making.
GoodData focuses on providing modular and scalable analytics solutions for data product builders and engineers. Its platform enables users to build analytics pipelines, model data, and embed solutions into applications. However, its heavy emphasis on technical workflows and developer-centric features makes it less accessible to non-technical business users.
For the first time, I can pull data from my marketing systems and see them all in one place - no IT, no data analyst, just my CMO skillset.
Upload a file and get analysis in under 60 seconds. Most ML analyses complete in 1-2 minutes. Connect to live data sources and start exploring immediately - no data modeling, ETL pipelines, or technical setup required. Instant insights from real data.
Predict which deals will close, understand what drives win rates, identify at-risk pipeline, and coach reps with data-driven insights. Turn CRM data into actionable sales intelligence with questions like 'why did our win rate drop?' or 'what predicts deal success?'
Create shared workspaces with role-based access. Share datasets with specific teams, collaborate on analyses in Slack channels, and export insights as presentations. Maintain security with workspace isolation while enabling self-service analytics across your organization.
Absolutely. Ask 'why did revenue drop?' and Scoop investigates across multiple factors, tests hypotheses, measures statistical significance, and provides confidence-rated explanations. It shows you the complete investigation process - hypothesis formation, systematic testing, evidence ranking, and alternative explanations considered.
Scoop uses Agentic Analytics‚Ñ¢ - AI that investigates like a data scientist. It forms hypotheses, tests them systematically, and explains findings with confidence levels. Unlike basic AI copilots, we run production-grade ML algorithms and show our work with statistical significance and evidence ranking.
Yes! Get instant access to a guided workspace with sample data. Upload your own files and connect data sources immediately. No credit card needed to start exploring. Experience all features including AI analysis, machine learning, visualizations, and Slack integration.
Scoop offers flexible pricing based on team size and usage. Start with our free trial - no credit card required. We provide transparent per-user pricing with volume discounts for larger teams. Contact our sales team for enterprise pricing and custom configurations.
Yes! Scoop works in both private DMs (for personal analysis) and shared channels (for team collaboration). Datasets can be shared with specific channels, and insights can be discussed right where your team works. Complete workspace isolation ensures data security.
That's great! If you already have a data warehouse, Scoop has a connector to grab data straight from there. Scoop can also blend data from different systems with your data from the data warehouse. We're always happy to hop on a call and determine the best ways to get the data for your use case.
No problem. Just reach out to our support team and we’ll immediately wipe out.
No need to replace them (unless you want to). Chances are, you’re unable to carry out all the day-to-day tasks that you need in your existing analytics / BI tools. You probably find yourself frequently exporting data into spreadsheets, just to be able to work with it. Scoop lets you do all your spreadsheet exploration within our platform using data that stays up-to-date. No more rebuilding the same spreadsheets over and over or wondering if the data they show is correct.
Scoop’s revolutionary data scoop process is the first of its kind. Unlike traditional data platforms, you will not need data extraction, transformation, or loading tools (ETL) to move your data into Scoop. Instead, Scoop fetches your data directly using the operational reports you are already familiar with, pulling them directly from your applications like Salesforce or NetSuite, snapshotting them, and stacking them over time to create a time series dataset that is ready for analysis and presentation without any additional technical overhead .
Never. Unlike other analytics tools, Scoop is designed entirely for business users without a technical skill set. All it takes to use Scoop are some basic spreadsheet skills.
Absolutely. You can upload any spreadsheet and join it together with other data you’ve brought into Scoop.
Scoop does not require you to have a data warehouse. Data warehouses are a tool used by IT to store raw data. Scoop, by contrast, operates on consumer-readable reports. Scoop “understands” your reports and creates its own behind-the-scenes columnar data store where data inferred from your reports is stored securely. However, that data store is entirely managed by Scoop and does not require maintenance or interaction by your IT department.
Nope. Unlike other data platforms, there is zero technical setup. Every feature in Scoop is designed for users who don’t have a technical background so you’ll never run into things you can’t do.