What is Scoop?
What Is Scoop?
Scoop: Data Science and Analytics Redefined for Everyone
Scoop is the world's first agentic analytics platform, designed from the ground up to empower business users, analysts, and teams to dig deep into their data—without needing a data team, coding skills, or any experience with infrastructure or BI tools.
Access Scoop through:
- Web Application: Full spreadsheet interface, data preparation, and canvas creation
- Slack Integration: Conversational analytics right where your team works
Imagine a powerful, AI-powered data engine that understands your questions, investigates like a data scientist, and explains findings in plain English—seamlessly integrated with the familiarity of spreadsheets, the collaborative power of Slack, and the visual storytelling of modern presentations.
With Scoop, you don't just analyze data—you uncover truths, trends, and opportunities you didn't know existed. You do this faster, at greater scale, and with more confidence than you ever thought possible. And Scoop doesn't only help you analyze; it also helps you communicate, turning complex data into clear, professionally styled presentations in minutes.


Why Scoop Exists
The Modern Analytics Dilemma
Business leaders today face a paradox: data is more plentiful and valuable than ever, yet extracting meaning from it is often slow, fragmented, and dependent on experts.
- Traditional BI tools are powerful but often demand time-consuming configuration, database knowledge, and technical skills, leaving business users waiting on data teams for reports, visualizations, or analyses.
- Spreadsheets are everywhere—familiar, flexible, but limited in scale, lacking robust data lineage, security, automation, and the ability to process large or changing datasets at speed.
- No-code/low-code visual tools promise ease, but hit brick walls when complexity, automation, or true data intelligence are required.
- AI "co-pilots" in other tools can suggest a chart—but cannot architect data pipelines, automate business datasets, uncover hidden patterns, or tell the "why."
Scoop was created to break these boundaries. It fuses the expressiveness and interactivity of spreadsheets with a robust data science engine, automates every stage from source to insight, and—crucially—makes advanced analytics and AI accessible to every business user.
What Sets Scoop Apart: True Next-Gen, AI-Driven Analytics
Scoop exists to break these walls and transform what is possible for business users:
1. Integrated Spreadsheet Data Preparation
Prepare and transform data using the language you know—spreadsheets. Scoop's powerful, in-memory engine supports complex formulas, lookups, data blending, and calculated fields, but at a scale that leaves Excel and Google Sheets behind. Bring in millions of rows, define calculations visually, create new columns—in seconds, not hours. No coding, no database required.
2. Deep Reasoning That Shows Its Work
Ask "why" and watch Scoop investigate like a senior analyst. Unlike simple query tools, Scoop's reasoning engine performs true multi-step investigations:
The Investigation Process:
- Hypothesis Formation: Automatically generates multiple plausible explanations
- Systematic Testing: Applies appropriate statistical methods to each hypothesis
- Evidence Ranking: Quantifies correlation strength, statistical significance (p-values), and sample sizes
- Impact Analysis: Isolates and measures the contribution of each factor
- Confidence Scoring: Provides transparency on certainty levels (High/Medium/Low)
- Alternative Explanations: Shows what was considered and why certain paths were rejected
Example Investigation:
You: "Why did conversion drop last month?"
Scoop: 🔍 Investigating conversion rate decline...
Hypothesis 1: Checking for data quality issues... ✓ Data validated
Hypothesis 2: Analyzing traffic sources... ✓ No significant change
Hypothesis 3: Examining user behavior patterns... ⚠️ Pattern shift detected
Hypothesis 4: Testing technical performance... 🚨 Issue found
Root Cause Identified:
- Mobile page load time increased from 1.2s to 4.7s on March 15th
- Impact: 73% of affected traffic (mobile users)
- Revenue Loss: $47K/week
- Statistical Confidence: 94% (p < 0.001)
Recommendation: Immediate mobile optimization required
Expected Recovery: 10-12% conversion rate improvement
This isn't a simple database query—it's detective work powered by AI.
3. AI-Driven Agentic Analytics
Move beyond "AI co-pilots" that just help you make charts. Scoop's AI is your data science team:
Natural Language Understanding: Scoop understands intent, not just keywords. "What's driving churn?" triggers sophisticated analysis, not just a churn count.
Machine Learning Made Simple:
- Predictive Analytics: "What predicts deal closure?" → Builds models, identifies factors, explains importance
- Smart Segmentation: "Segment our customers" → Discovers natural groupings with business explanations
- Pattern Detection: Finds relationships across multiple dimensions humans would miss
Transparent Intelligence: Every insight includes confidence levels, statistical significance, and alternative explanations considered—in plain English, not statistical jargon.
4. True Data-to-Story Capability
Sick of copying charts into slides, formatting graphs, and writing summaries? Scoop automatically turns analytics into live canvases and executive-ready presentations—styled to your brand and compatible with PowerPoint and Google Slides. You can even upload your existing slide decks to turn them into interactive, live-data driven stories.
5. Automated Snapshots and Process Analysis
Traditional BI captures "now"—Scoop tracks change. By ingesting daily or periodic snapshots, Scoop automatically reveals how your data evolves: how opportunities change stage, what drives ticket resolution, where things get stuck, and what patterns emerge over time. Drill into process flows, conversion rates, and root causes with a click—no technical setup required.
6. Data Science Studio—Enterprise ML Without the PhD
Scoop's Data Science Studio brings four core ML capabilities to every business user:
🎯 Predictive Relationships
- Automatically builds decision tree models (J48, Random Forest)
- Identifies top predictive factors with importance scores
- Provides "if-this-then-that" rules in plain English
- Example: "Deals > $100K with 3+ stakeholders have 89% close rate"
🔍 Smart Segmentation/Clustering
- Applies k-means and hierarchical clustering automatically
- Discovers natural groupings with business explanations
- Sizes each segment and profiles characteristics
- Example: "Found 4 customer segments: Champions (8%), Loyalists (22%), At-Risk (15%), Lost (10%)"
📊 Group/Population Comparisons
- Statistically compares any two groups
- Highlights significant differences with effect sizes
- Controls for multiple variables automatically
- Example: "Enterprise customers have 3.2x higher LTV (p < 0.001), driven by feature adoption and contract length"
📈 Time Period Analysis
- Detects what changed between any two periods
- Quantifies impact of each change
- Separates signal from noise using statistical tests
- Example: "Q4 growth driven by: New product launch (+$2.3M), Market expansion (+$1.1M), Seasonal effect (+$0.8M)"
7. From Data Source to Executive Insight—All-in-One
Connect to over 100+ SaaS, cloud, and API sources or just upload a file. Scoop ingests, cleans, transforms, analyzes, visualizes, narrates, and publishes—no roundtrips between apps, no moving data into shadow spreadsheets, no waiting for engineering. It's the entire data pipeline, reborn for the business analyst.
8. No-Code, Self-Service, Yet Enterprise-Grade
Business users can build, transform, automate, and share—without code, without risk. Every change is versioned and auditable, collaboration is secure and workspace-specific, and all data prep logic and visualizations are reusable and repeatable. RBAC, SSO, and compliance are built-in.
Feature Highlights: A New Workflow for Analytics
AI Agentic Chat & Discovery—Your Data Science Team in Natural Language
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True Natural Language Understanding: This isn't keyword matching. Scoop understands intent, context, and nuance. Ask "Why are we losing customers?" and Scoop knows to investigate churn patterns, not just count departures. It understands temporal context ("last month"), comparative intent ("versus last year"), and causal inquiry ("what's driving this?").
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Context-Aware Conversations: Scoop maintains conversation context, allowing follow-up questions like "drill into the enterprise segment" or "show that by month" without re-explaining everything
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Implicit Understanding: Ask "show me the bad stuff" and Scoop knows to look for negative trends, anomalies, and problem areas—not just literally searching for the word "bad"
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Multi-Dataset Awareness: Queries can span logical boundaries: "How does support ticket volume relate to renewal rates?" automatically identifies relevant datasets and relationships
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Multi-Step Deep Reasoning: When you ask "why," Scoop becomes a tireless investigator:
- Hypothesis Formation: "Revenue dropped—let me investigate pricing, volume, mix, and external factors"
- Systematic Investigation: Tests each hypothesis with appropriate statistical methods
- Evidence Building: Shows correlation strength, sample sizes, confidence intervals
- Root Cause Isolation: Quantifies impact of each contributing factor
- Actionable Synthesis: Concludes with what matters and what to do about it
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Automated Data Science: Clustering, predictive modeling, period-over-period or group comparisons… No statistics background required. Insight explanations are delivered in plain language, with both rules and illustrations.
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Presentation Generation: Summarize your exploration into boardroom-ready slide decks with a single prompt. AI creates slides, charts, tables, KPIs, and narrative—all styled and formatted to your brand or imported deck.
Familiar, Yet Revolutionary Spreadsheet Data Preparation
- Spreadsheet Calculations at Scale: From VLOOKUPs and SUMIFs to custom formulas, define calculations visually or use the spreadsheet interface you already know—on big data, with auto-refresh.
- Calculated Fields & Blended Datasets: Easily add new calculated columns, extract dimensions or create binned groupings. Combine datasets (blending two sources or aggregations) visually, no SQL or scripting required.
- Live Worksheets: Connect your spreadsheet to Scoop's engine for two-way updates—give business users live, interactive "what-if" modeling inside their daily tools.
Dynamic Visualizations & Data Canvas
- Canvas (Beyond Dashboards): Create rich, interactive canvases—mix and match text, visuals, diagrams, and widgets. Import existing PowerPoint/Slides for data-driven overlays or build from scratch.
- Explorer: Instantly generate or customize tables, KPIs, bar/column/line charts and more. All visuals are live, interactive, and support drill-down and segmentation.
- Style & Brand: Scoop auto-detects color themes and layouts from your own presentations, ensuring every output looks truly professional.
- One Click Export: Present live in Scoop, export to PowerPoint or Slides, or share interactive canvases (with full security and access control).
Data Tracking, Snapshots, and Process Analytics
- Automated Versioning & Snapshots: Any dataset can be loaded daily (or on any schedule), automatically tracking changes in rows, fields, or statuses—opening new vistas for time-based analysis.
- Process Analysis: Visualize business processes as they unfold—sales stages, lead movement, service ticket lifecycle. Use process diagrams and Sankey charts to understand conversion, cycle times, bottlenecks, and drops at-a-glance.
Recipes for Instant Value
- Pre-Built Solutions: Choose from best-practice recipes for sales, marketing, customer success, and more. Instant setup on your data means actionable insights in minutes, not days.
🔍 See Deep Reasoning in Action
Question: "What's killing our pipeline velocity?"
Scoop's Investigation:
- Analyzes pipeline stages and transition times
- Identifies bottleneck: Proposal → Negotiation taking 3x longer
- Discovers root cause: Deals requiring legal review increased 400%
- Quantifies impact: $2.3M in delayed revenue
- Suggests action: Pre-approved contract templates for deals < $50K
All in 45 seconds, with full statistical validation.
Access Scoop Your Way
The same powerful analytics engine is available wherever you work:
Web Application
- Full spreadsheet interface for data preparation
- Visual canvas for creating presentations
- Complete dataset management
- Advanced configuration options
Scoop for Slack
- Natural language queries in channels and DMs
- Team collaboration with ephemeral messaging for privacy
- Exclusive: Personal Query Libraries - Save any analysis as a reusable query
- Exclusive: Personal Analytics Decks - Combine saved queries into one-click dashboards
- Exclusive: Dual Workspaces - Automatic personal + organizational data spaces
- Exclusive: Progressive Sharing - Preview privately, share when ready
- One-click PowerPoint generation from any analysis or deck
- Seamless file upload via drag-and-drop without leaving Slack
- Thread-based conversations maintain full context
- Automatic workspace detection for instant team access
- 30-second setup with no account required
API Access
- Embed Scoop's intelligence in your applications
- Programmatic access to all capabilities
- Build custom integrations
All interfaces access the same AI engine, ensuring consistent insights whether you're building in the web app or chatting in Slack.
A Deeper Look: AI That Drives the Entire Stack
While other platforms "bolt-on" AI, Scoop's AI is built into the foundation. Here's how:
- Intent Recognition: Scoop's AI discerns your question's business meaning—selecting the best data, analysis type, and visualization, not just reformatting your request.
- Agentic Automation: AI plans and executes multi-stage data processes: from ingest and cleaning, to modeling and visualization, even suggesting calculated fields, grouping logic, and appropriate statistical or ML models.
- Conversational Data Science: You converse, Scoop's AI interprets, probes, pivots, and even recommends what to look at next. It proactively spots anomalies, drivers, or outliers, offering you a tour of discovery.
- End-to-End Output: Once analysis is ready, AI crafts both the visuals and the narrative—explaining what changed, why, and what matters, all ready for decision-makers.
- Continuous Learning: Scoop's models are always improving, integrating both business context and data behavior to refine results and recommendations.
This is why users describe Scoop's AI as an "analyst in your pocket"—not just a chart-maker but a true agent for discovery and storytelling.
Capability | Scoop | Traditional BI | Notebook-based DS | LLM Chatbot |
---|---|---|---|---|
No-code ingestion & spreadsheet-style prep | ✔ | Limited | ✖ | Limited |
Built-in column-store & snapshot engine | ✔ | Add-on | ✖ | ✖ |
Multi-step reasoning with hypothesis testing | ✔ (full investigation transparency) | ✖ | ✖ | ✖ |
Agentic-AI that plans but DB/BI/ML executes | ✔ (no hallucinated math) | N/A | N/A | Hallucinations and trivial summaries |
One-click interpretable ML / Data Science | ✔ | ✖ | Requires coding | ✖ |
Branded deck & executive / customer-ready output | ✔ | Limited | ✖ | ✖ |
Conversational front-end spanning BI + ML | ✔ | BI only | DS only | Narrow |
Personal analytics automation (saved queries/decks) | ✔ (Slack exclusive) | ✖ | ✖ | ✖ |
Automated ML model selection & optimization | ✔ | ✖ | Manual coding | ✖ |
Statistical significance testing on all insights | ✔ (p-values, confidence intervals) | ✖ | Manual | ✖ |
Multi-dimensional pattern discovery | ✔ (across all variables) | Limited | Requires expertise | ✖ |
Explainable AI with business rules | ✔ (plain English rules) | ✖ | Technical output | ✖ |
Automated insight narrative generation | ✔ | ✖ | ✖ | Limited quality |
Handles millions of rows with instant response | ✔ | Varies | Memory limits | Token limits |
Process mining & flow analysis | ✔ (Sankey, funnels) | Limited | Manual coding | ✖ |
Why "no hallucinated math" matters: Unlike pure LLM chatbots that can invent numbers, Scoop's AI plans the analysis but our proven database engine executes calculations. Every number is traceable to source data, every statistical test is mathematically sound, and every ML model is reproducible. When Scoop reports a 23% increase or a p-value of 0.001, these are real calculations from your actual data—not AI-generated approximations. This architecture ensures that critical business decisions are based on facts, not fiction.
Why Business Analysts, Data Analysts, and Business Users Love Scoop
- Business People: Finally get answers without waiting days or weeks for IT. Explore, question, and adapt analysis rapidly—as easily as manipulating a spreadsheet, but with enterprise muscle.
- Business & Data Analysts: Automate the grunt work—let AI build the foundation, freeing you to focus on deeper strategy or innovation. Sharpen presentations, answer ad-hoc questions, and pivot quickly.
- Traditional BI Users: Keep the dashboards you love—but finally break through limitations. Scoop helps where BI tools stall: process change analysis, AI-driven exploration, automated presentations, rapid blending and reshaping.
- Spreadsheet Power Users: Instantly level up. Analyze data at scale, automate refreshes, augment with calculation and ML, and push results seamlessly to presentations and sheets—all with the logic you're already a master of.
- Collaborative Teams: Organize work logically with workspaces, share outcomes instantly, and control who sees what.
Scoop Is For You If...
- You have business data—files, reports, SaaS apps, or databases—and want immediate insights, not weeks or months of setup.
- You want to leverage the power of spreadsheets, but are hitting scale or automation limits (Scoop handles millions of rows instantly).
- You need to tell a compelling story with your data, not just create another dashboard.
- You want to explore data, unearth patterns, trends, or causes without writing code or waiting for IT.
- You need true data science and machine learning—clustering, prediction, "what changed and why," process analytics, and more—all without the need for technical expertise.
- You require statistical rigor—proper p-values, confidence intervals, and validated models—not just directional insights.
- You're working with complex processes and need to understand flows, bottlenecks, and conversion funnels.
- You want insights you can trust—with no AI hallucinations, full audit trails, and reproducible results.
- You demand flexibility: from ad-hoc exploration and live worksheets, to slide-ready presentations, multi-source data blending, and secure sharing.
If you're tired of partial solutions—and want to bridge the gap between your business questions and actionable data insights—Scoop is purpose-built for you.
Try Scoop Now: Choose Your Path
Getting started with Scoop is effortless:
Option 1: Web Application
- Instant Access: Sign up and immediately enter a guided sample workspace
- Full Features: Access spreadsheet interface, canvas, and all tools
- Free Trial: Experience everything Scoop offers
Option 2: Slack Integration
- 30-Second Setup: Add to Slack, no account needed
- Immediate Value: Sample data included, start asking questions instantly
- Team Ready: Everyone in your Slack workspace can use it immediately
For Both:
- Bring Your Data: Upload files or connect to 100+ applications
- AI-Driven Discovery: Let Scoop explore your dataset and surface insights
- No Barriers: No infrastructure, no SQL, no technical hurdles
The Scoop Difference: Why Settle for Less?
With Scoop, you're not just digitizing what you already do—you're elevating it. From agentic AI that drives the entire analytics pipeline, to process analysis, live presentations, spreadsheet enrichment, and secure collaboration, Scoop is analytics for how business really works—fast, flexible, approachable, and powerful.
Ditch the waiting, unleash the insight. Try Scoop now and experience what true business-driven data science feels like.
Updated about 1 month ago