Scoop vs. Coefficient

Choosing the right data spreadsheet tool is crucial for operational efficiency. Scoop and Coefficient offer unique features for RevOps, Marketing Ops, and Sales Ops.
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Scoop vs.

Coefficient

: The Comparison

Scoop

Coefficient

Comprehensive Data Preparation

Scoop

  • Dataset Creation: Incrementally ingests data sources into powerful datasets.
  • Time Series Analysis: Intelligent date handling for analysis across any date field.
  • Calculated Fields: Create new fields on the fly.
  • Snapshot: Daily snapshots for powerful change analysis.

    Coefficient

    • Limited Data Preparation: Focuses on basic data pulls and minor manipulations within spreadsheets.
    AI Data Analytics

    Scoop

    Coefficient

    Intelligent Data Blending

    Scoop

    • Seamless Data Integration: Combines data from multiple sources effortlessly.
    • Automatic Data Updates: Ensures blended datasets are always current.
    • Flexible Data Joins: Explore relationships across various data sources.

    Coefficient

    • Limited Data Preparation: Focuses on basic data pulls and minor manipulations within spreadsheets.
    Advanced Data Visualization

    Scoop

    • Variety of Charts and Graphs: Supports a wide range of visual representations.
    • Dynamic Pivot Tables: Powerful summarization and trend identification.
    • Customizable Themes: AI-generated themes for brand consistency.

    Coefficient

    • Basic Visualization Options: Limited to basic spreadsheet visuals and cloud pivot tables.
    Interactive Data Presentation

    Scoop

    • Dynamic Interactive Canvases: Enhance report engagement and collaboration.
    • Automated Table Population: Populate tables with relevant data automatically.
    • Seamless Presentation Integration: AI-recommended themes for cohesive presentations.
    • Advanced Sharing Options: Share interactive canvases with permissions management.
    • Automatic slide presentation updates: Push back changes into your powerpoint/slides
    • Import power point presentations: Bring in your branded powerpoint slides and present within Scoop

    Coefficient

    • Limited Presentation Capabilities: Basic spreadsheet capabilities only.
    Robust Snapshotting Capabilities

    Scoop

    • Full Dataset Snapshotting: Analyze data across different time points.
    • Comparison Across Snapshots: Detailed analysis of changes over time.

    Coefficient

    • Limited to Google Revisions: Limited historical analysis capabilities.

    What Do Scoop and 

    Coefficient

     Do?

    Scoop

    Scoop revolutionizes the data lifecycle, allowing you to pull, blend, and present data seamlessly, supporting real-time, accurate decision-making.

    Coefficient

    Coefficient focuses on integrating spreadsheets with various data sources, simplifying data imports and updates for teams heavily reliant on spreadsheets.

    What is

    Coefficient

    Good At?

    • Spreadsheet Integration: Easy integration with one-click connectors and two-way syncing.
    • Automatic Re-fresh of Spreadsheets: Keeps data up-to-date without manual intervention.
    • Slack and Email Alerts: Set up alerts to notify team members of important data changes.

    What is Scoop Better At?

    • Spreadsheet Integration: Scoop has a google sheet app, any dataset can be scooped into Scoop with live data
    • Automated Data Blending: Merge data from multiple sources effortlessly, ensuring your analysis is always current.
    • High fidelity presentation: Present beautiful data stories
    • Powerful Analytics and Snapshotting: Daily snapshots for powerful change analysis.
    • Interactive Reporting: Generate and share dynamic, filterable reports directly from your data.
    • Advanced Querying: Perform complex data queries easily to uncover actionable insights.
    • Real-Time Data Sync: Keep all data sources automatically updated for the most current dashboards and reports.
    Loved by business users

    Scoop is a critical reporting layer on top of our CRM and other internal tools. Scoop provides me with automated sales reports on leads and deals, simplifying my board reporting, and I can easily create reports that are impossible within the CRM. As we grow and our sales process changes, Scoop makes it easy to adapt to those changes without significant IT help.

    Peter Rice
    President & COO
    , .
    CCX

    Frequently Asked Questions

    How quickly can I get insights from my data?

    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.

    What specific problems does Scoop solve for sales teams?

    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?'

    How do teams collaborate in Scoop?

    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.

    Can Scoop explain why something happened in my data?

    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.

    What makes Scoop's AI different from other analytics tools?

    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.

    Is there a free trial?

    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.

    How much does Scoop cost?

    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.

    Can my team use Scoop in Slack channels?

    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.

    What if I already have a data warehouse?

    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.

    What if I want to delete all my data from Scoop?

    No problem. Just reach out to our support team and we’ll immediately wipe out.

    What if I already have analytics / BI tools?

    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.

    How does my data get “scooped” into the platform?

    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​​ .

    Do I need to have SQL and database skills to use Scoop?

    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.

    Can I import my own spreadsheets into Scoop?

    Absolutely. You can upload any spreadsheet and join it together with other data you’ve brought into Scoop.

    Does my company need to have a data warehouse?

    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.

    Will I need a data team to set up Scoop for me?

    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.