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<section class="hero--3way">
<div class="hero__container">
<div class="hero__eyebrow">AI-POWERED COMPARISON</div>
<h1 class="hero__title">Snowflake Cortex vs Tellius vs Scoop: Complete Comparison</h1>
<div class="hero__scores">
<div class="score-card score-card--competitor">
<div class="score-card__name">Snowflake Cortex</div>
<div class="score-card__score">26/100</div>
<div class="score-card__label">BUA Score</div>
</div>
<div class="score-card score-card--competitor">
<div class="score-card__name">Tellius</div>
<div class="score-card__score">22/100</div>
<div class="score-card__label">BUA Score</div>
</div>
<div class="score-card score-card--scoop">
<div class="score-card__name">Scoop Analytics</div>
<div class="score-card__score">82/100</div>
<div class="score-card__label">BUA Score</div>
<div class="score-card__badge">WINNER ✓</div>
</div>
</div>
</div>
</section>
<section class="content-section ">
<div class="content-section__container">
<h2 class="content-section__title">Executive Summary</h2>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">TL;DR Verdict</h3>
<p class="content-section__paragraph">Scoop (82/100 BUA) enables true multi-pass investigation while Snowflake Cortex (26/100) and Tellius (22/100) trap users in dashboard paradigms. Both competitors require SQL knowledge and IT support for anything beyond pre-built reports, defeating business autonomy. Choose Scoop for immediate independence, competitors only if already locked into their ecosystems.</p>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">What is Scoop?</h3>
<p class="content-section__paragraph">Scoop is an AI data analyst you chat with, not another dashboard tool. Ask questions in plain English, get answers with charts instantly. Works natively in Excel and Slack where business users already work. No SQL, no training, no semantic layer maintenance ever required.</p>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Choose Scoop If</h3>
<ul class="content-section__list">
<li class="content-section__list-item">Business users need to investigate data independently without IT support</li>
<li class="content-section__list-item">Your team lives in Excel and needs analytics there natively</li>
<li class="content-section__list-item">You want to eliminate consultant dependencies and training costs permanently</li>
<li class="content-section__list-item">Multi-pass investigation (3-10 queries) matters more than static dashboards</li>
</ul>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Consider Snowflake Cortex If</h3>
<ul class="content-section__list">
<li class="content-section__list-item">You're already deeply invested in Snowflake's data warehouse ecosystem</li>
<li class="content-section__list-item">Your organization mandates using only Snowflake-native tools for compliance</li>
</ul>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Consider Tellius If</h3>
<ul class="content-section__list">
<li class="content-section__list-item">You need specific automated machine learning model deployment capabilities</li>
<li class="content-section__list-item">Your use case is purely predictive analytics, not business investigation</li>
</ul>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Bottom Line</h3>
<p class="content-section__paragraph">The BUA scores reveal the truth: Scoop's 82/100 demonstrates genuine business empowerment while competitors score in the failing range . The investigation paradigm shift means business users ask follow-up questions naturally, not through IT tickets. Your team becomes self-sufficient immediately, not after months of training.</p>
</div>
</div>
</section>
<section class="content-section content-section--alt">
<div class="content-section__container">
<h2 class="content-section__title">At-a-Glance Comparison</h2>
<table class="content-section__table comparison-table--3way">
<thead>
<tr>
<th>Dimension</th><th>Snowflake Cortex</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class=""><strong>BUA Score</strong></td><td class="">26/100</td><td class="">22/100</td><td class="scoop-cell">82/100</td>
</tr>
</tbody>
</table>
</div>
</section>
<section class="content-section ">
<div class="content-section__container">
<h2 class="content-section__title">BUA Framework Deep Dive</h2>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Autonomy (20 points)</h3>
<p class="content-section__paragraph"><strong>Dimension</strong>: Autonomy</p>
<p class="content-section__paragraph"><strong>Component Breakdown</strong></p>
<table class="content-section__table comparison-table--3way">
<thead>
<tr>
<th>Component</th><th>Snowflake Cortex</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Query Independence</td><td class="">2/8</td><td class="">3/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Investigation Depth</td><td class="">1/8</td><td class="">2/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Data Access</td><td class="">0/8</td><td class="">1/8</td><td class="">6/8</td>
</tr>
<tr>
<td class="">Metric Creation</td><td class="">0/8</td><td class="">0/8</td><td class="">7/8</td>
</tr>
</tbody>
</table>
<p class="content-section__paragraph"><strong>Quick Summary</strong> (40-60 words):</p>
<p class="content-section__paragraph">Scoop scores 18/20 on Autonomy versus near-zero for Snowflake Cortex and Tellius. Scoop enables true self-service with plain English questions and multi-pass investigation. Snowflake Cortex and Tellius require IT-maintained semantic layers, limiting business users to predefined metrics and reports.</p>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Flow (20 points)</h3>
<p class="content-section__paragraph"><strong>Dimension</strong>: Flow</p>
<p class="content-section__paragraph"><strong>Component Breakdown</strong></p>
<table class="content-section__table comparison-table--3way">
<thead>
<tr>
<th>Component</th><th>Snowflake Cortex</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Workflow Integration</td><td class="">2/8</td><td class="">3/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Context Preservation</td><td class="">1/8</td><td class="">2/8</td><td class="">6/8</td>
</tr>
<tr>
<td class="">Portal Independence</td><td class="">0/8</td><td class="">1/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Authentication Simplicity</td><td class="">1/8</td><td class="">2/8</td><td class="">6/8</td>
</tr>
</tbody>
</table>
<p class="content-section__paragraph"><strong>Quick Summary</strong> (40-60 words):</p>
<p class="content-section__paragraph">Scoop scores 17/20 on Flow by embedding analytics directly in Slack, while Snowflake Cortex and Tellius score near zero due to portal dependencies. Scoop eliminates context switching, maintains conversation history, and requires no separate logins. Traditional BI platforms force users to leave their workflow for answers.</p>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Understanding (20 points)</h3>
<p class="content-section__paragraph"><strong>Dimension</strong>: Understanding</p>
<p class="content-section__paragraph"><strong>Component Breakdown</strong></p>
<table class="content-section__table comparison-table--3way">
<thead>
<tr>
<th>Component</th><th>Snowflake Cortex</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Natural Language Quality</td><td class="">0/8</td><td class="">0/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Business Terminology</td><td class="">0/8</td><td class="">0/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Error Recovery</td><td class="">0/8</td><td class="">0/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Context Awareness</td><td class="">0/8</td><td class="">0/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Learning Curve</td><td class="">0/8</td><td class="">0/8</td><td class="">0/8</td>
</tr>
</tbody>
</table>
<p class="content-section__paragraph"><strong>Quick Summary</strong> (40-60 words):</p>
<p class="content-section__paragraph">Scoop scores 16/20 on Understanding by offering true natural language processing that handles any business phrasing, while Snowflake Cortex and Tellius score 0/20, requiring exact technical terminology and semantic layer maintenance. Scoop understands 'why are we losing customers' without translation, competitors need precise SQL-like syntax.</p>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Presentation (20 points)</h3>
<p class="content-section__paragraph"><strong>Dimension</strong>: Presentation</p>
<p class="content-section__paragraph"><strong>Component Breakdown</strong></p>
<table class="content-section__table comparison-table--3way">
<thead>
<tr>
<th>Component</th><th>Snowflake Cortex</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Automatic Visualization Selection</td><td class="">0/8</td><td class="">2/8</td><td class="">6/8</td>
</tr>
<tr>
<td class="">Context-Aware Formatting</td><td class="">0/8</td><td class="">1/8</td><td class="">5/8</td>
</tr>
<tr>
<td class="">Narrative Generation</td><td class="">0/8</td><td class="">0/8</td><td class="">2/8</td>
</tr>
<tr>
<td class="">Export and Sharing</td><td class="">0/8</td><td class="">0/8</td><td class="">2/8</td>
</tr>
</tbody>
</table>
<p class="content-section__paragraph"><strong>Quick Summary</strong> (40-60 words):</p>
<p class="content-section__paragraph">Scoop scores 15/20 on Presentation by automatically selecting optimal visualizations and formatting for business contexts. Snowflake Cortex (0/20) provides only SQL outputs requiring separate visualization tools. Tellius (0/20) requires manual chart selection and configuration. Scoop creates board-ready outputs in 30 seconds versus days with traditional approaches.</p>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Data (20 points)</h3>
<p class="content-section__paragraph"><strong>Dimension</strong>: Data</p>
<p class="content-section__paragraph"><strong>Component Breakdown</strong></p>
<table class="content-section__table comparison-table--3way">
<thead>
<tr>
<th>Component</th><th>Snowflake Cortex</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Connection Setup</td><td class="">0/8</td><td class="">0/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Data Preparation</td><td class="">0/8</td><td class="">0/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Semantic Layer</td><td class="">0/8</td><td class="">0/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Data Freshness</td><td class="">0/8</td><td class="">0/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Multi-Source Joins</td><td class="">0/8</td><td class="">0/8</td><td class="">0/8</td>
</tr>
</tbody>
</table>
<p class="content-section__paragraph"><strong>Quick Summary</strong> (40-60 words):</p>
<p class="content-section__paragraph">Scoop scores 16/20 on Data capabilities by eliminating IT bottlenecks, while Snowflake Cortex and Tellius score 0/20 due to mandatory data preparation and semantic layers. Scoop connects directly to live databases without ETL or modeling. Business users start analyzing immediately instead of waiting weeks for IT setup.</p>
</div>
</div>
</section>
<section class="content-section content-section--alt">
<div class="content-section__container">
<h2 class="content-section__title">Capability Deep Dive</h2>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Investigation & Root Cause Analysis</h3>
<p class="content-section__paragraph">When revenue drops 15% unexpectedly, the difference between platforms becomes stark. Traditional BI shows you the drop happened. Investigation platforms help you discover why. This capability separates single-query dashboards from true analytical thinking. Most platforms require you to know what questions to ask. Investigation means the platform helps you discover questions you didn't know existed. It's the difference between a speedometer showing you're slowing down and a diagnostic system explaining why your engine is failing.</p>
<p class="content-section__paragraph">The fundamental divide is architectural. Snowflake Cortex operates on single-query SQL generation. You ask, it writes SQL, returns results. No memory between queries. No automatic follow-up. Each investigation step requires new technical input. Tellius offers guided insights—better than nothing, but still requires users to navigate predefined paths. Their AutoML finds correlations but can't explain business context. You get statistical relationships without business meaning. Scoop treats investigation as conversation. Ask about revenue drops, it automatically checks seasonality, segments, correlations, and anomalies. Each finding triggers deeper investigation. No SQL. No predefined paths. The platform thinks alongside you. This isn't about features—it's about cognitive architecture. Single-query systems force linear thinking. Multi-pass investigation enables discovery. When a CFO asks why margins dropped, Scoop investigates product mix, pricing changes, cost variations, and competitive dynamics automatically. Cortex requires four separate SQL queries. Tellius needs manual correlation setup first. The difference compounds with complexity. A five-why analysis takes Scoop five minutes. Cortex requires five SQL experts. Tellius needs five configured workflows.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A retail operations manager notices unusual inventory patterns. With Scoop, she types: 'Why are inventory levels increasing despite flat sales?' Scoop automatically investigates: analyzing product categories (finding 40% buildup in electronics), checking seasonal patterns (no historical precedent), examining supplier deliveries (20% increase from Asian suppliers), correlating with promotions (none running), and identifying the root cause—a purchasing system bug duplicating orders from specific vendors. Total investigation: 4 minutes, 6 automatic follow-up queries. With Cortex, she'd need to write SQL for each investigation angle, requiring database schema knowledge. Tellius would surface the inventory anomaly but require manual drill-down through predetermined paths, missing the supplier-specific pattern.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Investigation capability determines whether business users can actually find answers independently. Scoop's multi-pass architecture delivers 10-15x faster root cause analysis than single-query systems. While Tellius offers some guided exploration and Cortex provides SQL generation, only Scoop enables true investigative conversations. Business users can pursue hunches, test hypotheses, and discover insights without technical skills or predefined paths.</p>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Excel & Spreadsheet Integration</h3>
<p class="content-section__paragraph">Every Monday morning, thousands of analysts open Excel to build reports from BI data. They copy charts from dashboards, export CSVs, manually update pivot tables, and email spreadsheets to executives who ask 'Can you add last year's comparison?' This workflow reveals a fundamental truth: business users live in Excel. The question isn't whether your analytics platform connects to Excel—it's whether that connection eliminates the copy-paste marathon. Let's examine how each platform bridges the Excel divide, from native add-ins to live connections to the reality of Monday morning reporting.</p>
<p class="content-section__paragraph">The Excel integration battle exposes a fundamental divide in analytics philosophy. Tellius leads with a comprehensive Excel add-in that brings analytics directly into spreadsheets—users can refresh data, run queries, and maintain live connections without leaving Excel. This acknowledges reality: 750 million people use Excel for analysis. Snowflake Cortex takes the opposite approach, treating Excel as a destination for SQL query results. Users must write SQL, export results, then manually import to Excel. There's no native add-in, no live connection, just traditional ETL workflows. Scoop bridges both worlds uniquely. While users primarily interact through chat, the API enables Excel integration that preserves natural language. A finance manager can type 'Show me revenue by product last quarter' directly in Excel and get live results. No SQL, no semantic layer navigation, just questions and answers. The key differentiator is workflow preservation. Tellius users must learn new interfaces within Excel. Cortex users must master SQL before touching Excel. Scoop users keep their existing Excel workflows while gaining an AI analyst. When the CFO wants that Monday report updated, Tellius users refresh their add-in data, Cortex users re-run SQL exports, but Scoop users simply ask their question differently.</p>
<p class="content-section__paragraph"><strong>Example</strong>: Sarah, a financial analyst, needs to create the monthly board report combining data from multiple sources. With Tellius, she opens Excel, launches the add-in, navigates through data models, selects metrics, and pulls data into her worksheet. When board members ask for different cuts, she returns to the add-in interface. Total time: 45 minutes per iteration. With Snowflake Cortex, Sarah writes SQL queries in Snowflake's console, exports results as CSV, imports to Excel, and rebuilds her pivot tables. Each board question requires new SQL, new exports, new imports. Total time: 2 hours. With Scoop, Sarah types questions in natural language either in Scoop's interface or through Excel integration: 'Compare revenue by region this year vs last year.' Results appear instantly. Follow-up questions like 'Why did Southwest decline?' get immediate answers with explanations. She copies key insights to her report. Total time: 15 minutes. The difference isn't just time—it's cognitive load. Sarah stays focused on analysis rather than query syntax or interface navigation.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Excel integration reveals each platform's true nature. Tellius offers the most comprehensive Excel add-in but requires learning new interfaces within familiar Excel. Snowflake Cortex treats Excel as an afterthought, forcing SQL exports without native integration. Scoop uniquely preserves natural language interaction whether users start in Excel or Scoop's chat interface. For organizations where Excel drives decision-making, the choice is between learning new tools in Excel (Tellius), abandoning Excel's advantages (Cortex), or keeping Excel workflows while gaining an AI analyst (Scoop).</p>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Side-by-Side Scenario Analysis</h3>
<p class="content-section__paragraph">When executives need to compare multiple business scenarios—like 'What if we raise prices 10% versus cutting costs 15%?'—they're testing strategic decisions worth millions. This isn't about running one analysis; it's about comparing multiple futures simultaneously. Most BI tools force users to build each scenario separately, export to Excel, then manually compare. The ability to analyze scenarios side-by-side in real-time separates true analytical platforms from dashboard builders. Let's examine how each platform handles this critical strategic capability.</p>
<p class="content-section__paragraph">The architectural divide is stark. Snowflake Cortex treats each scenario as a separate SQL query—no memory, no comparison, no context. Users must manually track results in Excel. Tellius offers a 'what-if analysis' module, but it requires pre-defining variables, setting ranges, and configuring comparison views. Setup takes 30-45 minutes per analysis. Scoop's conversational architecture changes everything. Ask 'Compare revenue if we raise prices 10% versus expanding to two new markets.' Scoop generates both scenarios, displays them side-by-side, and remembers the context. Follow up with 'Now add a third scenario combining both strategies' takes five seconds. The key differentiator isn't features—it's cognitive flow. Traditional BI platforms break strategic thinking into technical tasks. Each scenario requires a new query, new parameters, new visualization. By the time you've built three scenarios, you've forgotten the nuances of the first. Scoop maintains the full context, letting executives think strategically while the AI handles the technical execution. This isn't about convenience; it's about enabling a fundamentally different level of strategic analysis. When you can compare five scenarios in five minutes instead of five hours, you explore more possibilities, test more assumptions, and make better decisions.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A CPO needs to evaluate three pricing strategies for next quarter. She opens Scoop and types: 'Compare revenue impact of: 1) 10% price increase, 2) 20% volume discount for enterprise, 3) New freemium tier.' Scoop instantly generates three parallel projections with revenue, customer count, and margin impacts. She notices the enterprise discount shows promise and asks: 'For scenario 2, what if we limit it to accounts over $100K ARR?' Scoop adjusts that single scenario while maintaining the others for comparison. Total time: 4 minutes. In Snowflake Cortex, she would write three separate SQL queries, export results, and manually combine in Excel—assuming she knows SQL. In Tellius, she'd spend 20 minutes configuring the what-if module, defining parameters, setting up comparison views, then still need to manually adjust for the ARR constraint. The cognitive overhead of traditional tools turns strategic analysis into technical project management.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Scoop enables true side-by-side scenario analysis through natural conversation, while competitors force sequential analysis with manual comparison. The difference isn't incremental—it's categorical. When executives can compare five strategic scenarios in the time it takes to build one in traditional BI, they make better decisions faster. This capability alone justifies Scoop for strategic planning teams.</p>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Machine Learning & Pattern Discovery</h3>
<p class="content-section__paragraph">Your sales data contains hidden patterns that predict customer churn, identify anomalies, and forecast trends—but only if you can find them. Traditional BI requires data scientists to build models, deploy them, and maintain them over months. Modern platforms promise automatic pattern discovery, but the reality varies wildly. Some require SQL expertise to access ML functions. Others run algorithms automatically but can't explain what they found. The key question: Can a business analyst discover actionable patterns without writing code or waiting for IT?</p>
<p class="content-section__paragraph">Snowflake Cortex provides powerful ML functions—if you know SQL. Their anomaly detection requires writing queries like SELECT DETECT_ANOMALIES(). Business users can't access these capabilities without IT support. Tellius bridges this gap with their point-and-click interface. Users can run AutoML without code, but must configure parameters and understand statistical concepts. Setup takes 30-60 minutes per analysis. Scoop treats ML as part of natural investigation. Ask 'What's unusual about Q3 sales?' and it automatically runs anomaly detection, correlation analysis, and pattern discovery. No configuration needed. The architectural difference is fundamental. Cortex embeds ML in the database layer, accessible only through SQL. Tellius adds a UI layer on top of ML libraries, requiring users to think in ML terms. Scoop embeds ML in the conversation layer—users describe business problems, not statistical methods. This means a sales manager can discover that Tuesday orders correlate with weather patterns without knowing what correlation means. The platform explains findings in business terms: 'Sales drop 23% on rainy Tuesdays in urban markets.' Not 'Correlation coefficient: -0.67.'</p>
<p class="content-section__paragraph"><strong>Example</strong>: A retail operations manager notices unusual inventory patterns. With Scoop, she types: 'Find patterns in our inventory turnover.' Scoop automatically analyzes seasonality, identifies anomalies, discovers correlations with promotions, and highlights that electronics inventory spikes 40% before holidays but only in suburban stores. Total time: 4 minutes. With Tellius, she'd open the pattern discovery module, select variables, configure parameters, run analysis, then interpret statistical outputs. Time: 45 minutes plus training. With Snowflake Cortex, she'd need IT to write SQL queries using DETECT_ANOMALIES and FORECAST functions, wait for results, then translate statistical outputs into business insights. Time: 2-3 days including IT queue. The business impact? Scoop users discover patterns daily. Tellius users run weekly analyses. Cortex users rely on pre-built reports.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Snowflake Cortex offers enterprise-grade ML for SQL experts—powerful but inaccessible to business users. Tellius democratizes ML with visual interfaces but requires statistical understanding and setup time. Scoop makes ML invisible—users ask business questions and get insights with patterns automatically discovered and explained. For organizations wanting business users to actually use ML daily, not just in theory, the choice is clear.</p>
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<h3 class="content-section__subtitle">Workflow Integration & Mobile</h3>
<p class="content-section__paragraph">Your sales team discovers a critical insight at 3 PM. By 3:15, it needs to be in Slack, updated in Excel, and accessible on the CEO's phone. This is the reality of modern business intelligence—insights must flow seamlessly into existing workflows, not force users into yet another portal. The difference between platforms that integrate naturally versus those requiring constant context switching can mean hours of productivity gained or lost daily. Let's examine how each platform handles the critical challenge of meeting users where they already work.</p>
<p class="content-section__paragraph">The architectural divide becomes stark in workflow integration. Snowflake Cortex, built as a SQL layer, can't escape its database DNA—every integration requires translating natural language to SQL and back. This creates friction at every touchpoint. Tellius offers more integration options but still operates on the dashboard paradigm—you can embed views but not investigations. Their Excel plugin exists but requires switching mental models from spreadsheet formulas to BI concepts. Scoop's conversation-first architecture translates naturally across channels. The same chat interface works in Excel, Slack, mobile, or API calls. No context switching, no new syntax to learn. When a sales manager asks 'Why did renewal rates drop?' in Slack, Scoop investigates automatically—checking cohorts, comparing products, identifying that pricing changes correlate with the drop. The entire investigation happens in the channel where the question arose. This isn't just convenience; it's about preserving analytical flow. Traditional BI forces constant context switches: Excel to portal, portal to SQL, SQL back to Excel. Each switch loses momentum and context. Scoop maintains the conversation wherever users work.</p>
<p class="content-section__paragraph"><strong>Example</strong>: Monday morning, 8:47 AM. The VP of Sales is commuting when she gets a Slack alert: 'Enterprise pipeline down 30% week-over-week.' With Scoop integrated in Slack, she types directly in the channel: 'What changed in enterprise pipeline last week?' Scoop responds with the analysis: three major deals pushed to next quarter, two lost to competitors. She follows up: 'Which competitors and what reasons?' All while still on the train, all in Slack where her team can see the investigation. Her team jumps in with their own questions, building on her analysis. By 9 AM when she reaches the office, the root cause is identified and the action plan is forming. With Cortex, she'd need to wait until reaching a laptop, write SQL queries, and then screenshot results back to Slack. With Tellius, she could view a mobile dashboard but not investigate why. The difference: 45 minutes of dead time turned into productive analysis.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Workflow integration isn't about having APIs or mobile apps—it's about maintaining analytical flow wherever business happens. Scoop's conversation-first approach means the same natural language works everywhere: Excel, Slack, mobile, API. No syntax switching, no context loss. While competitors force users to adapt to their interfaces, Scoop adapts to where users already work. For organizations where speed to insight matters, this difference compounds daily into hours of recovered productivity.</p>
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<section class="content-section ">
<div class="content-section__container">
<h2 class="content-section__title">Frequently Asked Questions</h2>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">What is Scoop?</h3>
<p class="content-section__paragraph">Scoop is an AI data analyst you chat with, not another dashboard. Ask questions in plain English, get answers with charts. Works natively in Excel and Slack. Unlike Snowflake Cortex and Tellius which require IT setup, Scoop connects directly to your data in 30 seconds.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Which is better for business users: Snowflake Cortex or Tellius?</h3>
<p class="content-section__paragraph">Neither empowers business users effectively. Snowflake Cortex scores 26/100 BUA, Tellius scores 22/100—both require heavy IT support. Scoop scores 82/100, letting business users investigate independently. Cortex needs SQL knowledge, Tellius requires semantic layer setup. Both trap users in the dashboard paradigm while Scoop enables true investigation.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">How do I investigate anomalies in Snowflake Cortex?</h3>
<p class="content-section__paragraph">Snowflake Cortex can't investigate anomalies—it only answers single queries. You'd need to manually write multiple SQL queries to explore causes. Scoop automatically chains 3-10 queries, testing hypotheses like a data analyst would. Cortex shows what happened; Scoop discovers why through multi-pass investigation.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Can Tellius do root cause analysis automatically?</h3>
<p class="content-section__paragraph">Tellius offers basic automated insights but can't perform true root cause analysis. It generates single-pass observations, not multi-step investigations. Scoop chains 3-10 queries automatically, exploring correlations, testing hypotheses, and finding actual causes. Tellius shows correlations; Scoop uncovers causation through systematic investigation like a human analyst.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Does Scoop support multi-step analysis?</h3>
<p class="content-section__paragraph">Yes, Scoop excels at multi-step analysis, automatically chaining 3-10 queries per investigation. Unlike dashboard tools that stop after one query, Scoop follows leads, tests hypotheses, and digs deeper. Ask 'why did sales drop?' and Scoop investigates regions, products, customers, and timeframes automatically—just like a human analyst would.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">What does Snowflake Cortex really cost including implementation?</h3>
<p class="content-section__paragraph">Snowflake Cortex true cost includes licenses, implementation, training, maintenance, consultants, and productivity loss. Implementation alone typically costs 2-3x annual licenses. Add consultant fees, training programs, and ongoing maintenance—total TCO reaches 5-10x the sticker price. Scoop eliminates these categories entirely with its 30-second setup.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Do I need SQL knowledge for Tellius?</h3>
<p class="content-section__paragraph">Tellius claims no SQL required, but reality differs. Complex queries need SQL or IT help. Their semantic layer requires technical setup and maintenance. Business users hit walls quickly without technical knowledge. Scoop truly eliminates SQL—just type questions naturally. If you can write an email, you can analyze data.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Can business users use Scoop without IT help?</h3>
<p class="content-section__paragraph">Yes, business users connect Scoop in 30 seconds and start analyzing immediately. No semantic layers, no SQL, no IT tickets. Unlike Snowflake Cortex (26/100 BUA) and Tellius (22/100 BUA), Scoop scores 82/100 for business autonomy. Users investigate independently, asking follow-up questions naturally without technical barriers.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">How long does it take to learn Snowflake Cortex?</h3>
<p class="content-section__paragraph">Snowflake Cortex requires 2-4 weeks of formal training plus months to master. Users must learn SQL, understand data models, and navigate Snowflake's architecture. Most organizations need ongoing consultant support. Scoop requires zero training—if you can use ChatGPT, you're already an expert. Start getting value in minutes.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Does Snowflake Cortex work with Excel?</h3>
<p class="content-section__paragraph">Snowflake Cortex doesn't integrate natively with Excel. You'd export data manually or build complex connections requiring IT setup. Scoop works directly inside Excel—highlight data, ask questions, get answers. No exports, no IT tickets. Business users stay in their familiar environment while gaining AI-powered analysis capabilities.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Can I use Tellius directly in Slack?</h3>
<p class="content-section__paragraph">Tellius offers limited Slack integration for notifications, not real analysis. You still work in their separate platform. Scoop runs natively in Slack—ask questions, get charts, share insights without leaving your conversation. Collaborate on data naturally where your team already works, no context switching required.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">What training does Snowflake Cortex require?</h3>
<p class="content-section__paragraph">Snowflake Cortex requires extensive training: SQL fundamentals, Snowflake architecture, data modeling, and Cortex-specific features. Most organizations need 2-4 week bootcamps plus ongoing workshops. Consultants often necessary for advanced use. Scoop requires zero training—just type questions like you'd ask a colleague. Productive in minutes, not months.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">How is Scoop different from traditional BI tools?</h3>
<p class="content-section__paragraph">Scoop is an AI analyst you chat with, not another dashboard builder. Traditional BI like Snowflake Cortex and Tellius trap you in single-query dashboards. Scoop investigates with 3-10 queries automatically, finding root causes. No SQL, no training, no semantic layers—just natural conversation that delivers insights.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Why doesn't Scoop require training?</h3>
<p class="content-section__paragraph">Scoop uses natural language like ChatGPT—if you can type a question, you can use Scoop. No SQL, no formulas, no technical concepts. Unlike Snowflake Cortex and Tellius which require understanding data models and query languages, Scoop translates your plain English into complex analysis automatically.</p>
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</section>
<section class="cta-section">
<div class="cta-section__title">See Scoop in Action</div>
<div class="cta-section__subtitle">
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</div>
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</section>
