Scoop vs. Sigma

Discover how Scoop outshines Sigma by offering a complete, user-friendly BI solution. From automated data prep to interactive, presentation-ready reports, see why operations teams prefer Scoop.
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What Do Scoop and

Sigma

Do?

Scoop

Scoop is a modern BI tool designed to simplify complex data workflows. Unlike traditional platforms, Scoop empowers non-technical users to generate real-time, executive-ready reports. It combines data preparation, blending, and visualization, delivering actionable insights in minutes without the need for data teams.

Sigma

Sigma offers a spreadsheet-like interface built for users with access to enterprise data warehouses. While it simplifies some aspects of querying, Sigma lacks the end-to-end capabilities of modern BI tools. Users still rely heavily on technical teams to prepare data and create presentation-ready insights.

What is

Sigma

Good At?

  • Spreadsheet-Like Interface: Sigma’s interface mimics a spreadsheet, making it familiar for analysts comfortable with Excel, SQL, Python.
  • Integration with Snowflake: Sigma’s close alignment with Snowflake makes it a reliable choice for enterprises already using that data warehouse.
  • Basic Visualization Capabilities: It supports standard charts and tables, suitable for simple dashboards.

What is Scoop Better At?

  • End-to-End BI Solution: Scoop automates every step, from connecting to your data,  to data prep to polished presentations.
  • Real-Time, Presentation-Ready Reports: Users can instantly generate and customize decks for executive meetings.
  • No Data Team Required: Scoop uses Spreadsheet logic that business users know and love, plus we give you access to connecting to your data, enabling ops teams to work independently.

Scoop vs.

Sigma

: The Comparison

Scoop

Sigma

Comprehensive Data Preparation

Scoop

  • Automates cleaning, standardizing, and merging datasets.
  • No coding or SQL required—intuitive setup for non-technical users.
  • Maintains data freshness with daily automated updates.
  • Enables self-service data modeling, empowering operations teams to manage their own data pipelines.

    Sigma

    • Requires SQL or technical expertise for data preparation.
    • Limited to data sourced from enterprise data warehouses like Snowflake.
    • Relies on data teams to set up and maintain pipelines.
    • Lacks built-in automation for data updates and cleaning.

    Intelligent Data Blending

    Scoop

    • Seamlessly integrates multiple data sources, including CRM, marketing, and finance platforms.
    • Uses AI to suggest relevant datasets for blending, improving accuracy and speed.
    • Ensures consistency across data points for more reliable insights.
    • Automates real-time data merging for holistic reports.

    Sigma

    • Requires SQL or technical expertise for data preparation.
    • Limited to data sourced from enterprise data warehouses like Snowflake.
    • Relies on data teams to set up and maintain pipelines.
    • Lacks built-in automation for data updates and cleaning.

    Advanced Data Visualization

    Scoop

    • Delivers presentation-ready visuals tailored to specific business needs.
    • Customizable templates for charts, dashboards, and slide decks.
    • Built-in AI commentary to explain key insights alongside visuals.

    Sigma

    • Provides basic charts and tables but lacks advanced customization.
    • Limited to static visuals—requires manual export for presentations.
    • No AI-driven insights or explanations.

    Interactive Data Presentation

    Scoop

    • Allows users to create dynamic, interactive presentations directly within the platform.
    • One-click export/sync to PowerPoint or live dashboards.
    • Enables real-time drill-downs during meetings for deeper analysis.

    Sigma

    • Focused on static dashboards with no interactivity in presentations.
    • Requires users to export visuals manually into other tools like PowerPoint.
    • No capability for live interaction during meetings.
    Robust Snapshotting Capabilities

    Scoop

    • Automates time-series snapshots for historical comparisons.
    • No need for manual coding or SQL to capture data snapshots.
    • Allows easy tracking of trends and changes over time.

    Sigma

    • Snapshotting requires manual setup and maintenance by technical teams.
    • SQL scripts must be written to capture and store time-based data.
    • Limited support for time-series analysis without significant customization.
    Loved by business users

    Scoop was able to track and visualize our sales process so we could see stage level performance differences by salesperson, product line, and more over time. This was accomplished by a single analyst, embedded in the Sales department, without roadmap interruption or months of attention from a data engineer.

    Todd Young
    CMO
    , .
    LegalRev

    Frequently Asked Questions

    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.