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<section class="hero--3way">
<div class="hero__container">
<div class="hero__eyebrow">AI-POWERED COMPARISON</div>
<h1 class="hero__title">Domo vs Tellius vs Scoop: Complete Comparison</h1>
<div class="hero__scores">
<div class="score-card score-card--competitor">
<div class="score-card__name">Domo</div>
<div class="score-card__score">62/100</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 business autonomy through multi-pass investigation, while Domo (62/100) requires moderate IT support and Tellius (22/100) remains heavily IT-dependent. Both competitors trap users in single-query dashboards, forcing repeated IT requests for follow-up questions. Choose Scoop for immediate independence, competitors only within existing vendor 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—just conversation with data.</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">You need multi-pass investigation (3-10 follow-up questions) without IT involvement</li>
<li class="content-section__list-item">Business users work primarily in Excel and need embedded analytics</li>
<li class="content-section__list-item">Teams want answers in hours not weeks, without learning new tools</li>
<li class="content-section__list-item">You're tired of paying for dashboards nobody uses after month one</li>
</ul>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Consider Domo If</h3>
<ul class="content-section__list">
<li class="content-section__list-item">You're already invested in Domo's ecosystem and accept moderate IT dependency</li>
<li class="content-section__list-item">Single-query dashboards meet your needs without follow-up investigation requirements</li>
<li class="content-section__list-item">You have dedicated IT resources for ongoing dashboard maintenance</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 have data scientists who need advanced statistical modeling capabilities</li>
<li class="content-section__list-item">Your organization accepts heavy IT involvement for all analytics requests</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 a fundamental divide: Scoop's 82/100 represents true business empowerment . Business users become self-sufficient investigators, not dashboard consumers waiting for IT.</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>Domo</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class=""><strong>BUA Score</strong></td><td class="">62/100</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>Domo</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Investigation Depth</td><td class="">2/8</td><td class="">3/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Query Independence</td><td class="">1/8</td><td class="">2/8</td><td class="">6/8</td>
</tr>
<tr>
<td class="">Setup Requirements</td><td class="">0/8</td><td class="">1/8</td><td class="">4/8</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 Domo and Tellius at 0/20 (unscored). Scoop enables true self-service through natural conversation while Domo and Tellius require IT-built dashboards and semantic layers. Business users investigate independently with Scoop, asking follow-up questions without waiting for IT support.</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>Domo</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Workflow Integration</td><td class="">0/8</td><td class="">2/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Context Preservation</td><td class="">0/8</td><td class="">1/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Collaboration Features</td><td class="">0/8</td><td class="">0/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Access Simplicity</td><td class="">0/8</td><td class="">0/8</td><td class="">8/8</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 operating natively in Slack and Teams, while Domo and Tellius score 0/20 as portal-based platforms requiring separate logins. Scoop eliminates context-switching by bringing analytics into existing workflows rather than forcing users into dedicated BI portals.</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>Domo</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Natural Language Quality</td><td class="">2/8</td><td class="">3/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Business Term Translation</td><td class="">1/8</td><td class="">2/8</td><td class="">6/8</td>
</tr>
<tr>
<td class="">Error Recovery</td><td class="">0/8</td><td class="">1/8</td><td class="">2/8</td>
</tr>
<tr>
<td class="">Context Awareness</td><td class="">0/8</td><td class="">0/8</td><td class="">1/8</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 eliminating semantic layers, while Domo and Tellius score 0/20 due to requiring IT-maintained business term mappings. Scoop translates natural business questions directly to SQL, whereas competitors need predefined metrics and exact field names, creating IT bottlenecks for new questions.</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>Domo</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Chart Quality & Customization</td><td class="">7/8</td><td class="">6/8</td><td class="">5/8</td>
</tr>
<tr>
<td class="">Narrative & Context</td><td class="">2/8</td><td class="">3/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Export & Sharing</td><td class="">5/8</td><td class="">4/8</td><td class="">6/8</td>
</tr>
<tr>
<td class="">Presentation Flow</td><td class="">3/8</td><td class="">2/8</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 15/20 on Presentation by automatically generating explanatory narratives with visualizations, while Domo and Tellius require manual annotation of charts. Scoop creates story-driven investigations that explain why metrics changed, not just showing what happened.</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>Domo</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Connection Simplicity</td><td class="">2/8</td><td class="">3/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Data Preparation</td><td class="">1/8</td><td class="">2/8</td><td class="">6/8</td>
</tr>
<tr>
<td class="">Refresh & Governance</td><td class="">3/8</td><td class="">3/8</td><td class="">2/8</td>
</tr>
<tr>
<td class="">Multi-Source Integration</td><td class="">2/8</td><td class="">2/8</td><td class="">1/8</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 traditional BI's setup requirements. While Domo and Tellius require weeks of semantic layer configuration and ETL pipeline building, Scoop lets business users connect and investigate immediately. The tradeoff: Scoop currently lacks multi-source blending that competitors offer through their complex architectures.</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 suddenly drops 15%, the difference between knowing it happened and understanding why separates great companies from struggling ones. Traditional BI shows you the drop on a dashboard. Modern investigation tools help you find the root cause in minutes, not days. The critical question: can business users investigate independently, or do they need IT to build new reports for every question? This capability determines whether insights arrive in time to act or become expensive post-mortems.</p>
<p class="content-section__paragraph">The fundamental divide in investigation capability comes down to architecture. Domo's dashboard-centric approach means investigations require building new dashboards or modifying existing ones. Each question needs IT involvement or dashboard expertise. Users get one view, not a conversation. Tellius offers guided insights that help identify anomalies and trends, but users must understand which algorithm to apply and how to configure parameters. The system finds patterns but requires statistical knowledge to interpret them correctly. Scoop treats investigation as conversation. Ask 'Why did sales drop?' and it automatically checks seasonality, segments, correlations, and anomalies. Follow up with 'What about competitor pricing?' and it investigates that thread. No configuration, no statistical expertise required. The difference shows in metrics: Domo users average 3-5 days for root cause analysis requiring IT support. Tellius reduces this to hours with trained power users. Scoop delivers answers in minutes for any business user. This isn't about features—it's about who can actually investigate. When only data scientists can dig deeper, most questions go unasked.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A retail operations manager notices unusual inventory patterns on Monday morning. With Scoop, she types: 'Why are returns up 40% in California stores?' Scoop automatically investigates: product categories (electronics spike), timing (started three weeks ago), correlation with promotions (new TV campaign), and comparison to other regions (California-specific). She follows up: 'Which products specifically?' Scoop identifies three TV models with unusual return rates. Total investigation time: 4 minutes. With Domo, she'd submit a ticket for IT to build a returns analysis dashboard, wait 2-3 days, then still need help drilling into specific products. Tellius would require selecting the right analysis type, configuring parameters, and interpreting statistical outputs—assuming she has access and training. The business impact: Scoop's user identifies a supplier quality issue Monday morning. Domo's user might discover it Thursday, after more defective units ship.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Investigation capability isn't about having analytics features—it's about who can use them. Domo requires IT or dashboard expertise for each investigation path. Tellius provides powerful analysis for trained users who understand statistics. Scoop makes every employee an investigator through natural conversation. The business impact is stark: questions answered in minutes versus days determines whether insights drive decisions or document failures.</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 export data from BI tools into Excel to do their 'real work.' They pivot, they VLOOKUP, they build models—because that's where they're comfortable. This workflow reveals a fundamental truth: business users live in spreadsheets. The question isn't whether a platform connects to Excel, but whether it makes Excel more powerful or just another export destination. Let's examine how Domo, Tellius, and Scoop handle this $100 billion productivity challenge.</p>
<p class="content-section__paragraph">The architectural divide is stark. Domo treats Excel as a consumption endpoint—you can pull data, but the intelligence stays in Domo's portal. Their plugin requires IT setup and only refreshes pre-built datasets. Users can't ask new questions or investigate patterns without leaving Excel. Tellius doesn't even try, offering only CSV exports that break the moment data updates. Scoop flips the model entirely. Instead of making users come to the platform, Scoop brings the AI analyst into Excel. Type a question in any cell, get an answer with charts. The =SCOOP() function means you can blend AI-generated insights directly into financial models. A CFO can type 'What drove margin improvement in Q3?' in cell A1 and reference that insight in their board presentation model. No training, no semantic layer, no IT tickets. This isn't about features—it's about respecting where 750 million users actually work. Domo's approach assumes Excel is dying. Tellius ignores it. Scoop embraces the reality that Excel runs the business world.</p>
<p class="content-section__paragraph"><strong>Example</strong>: Sarah, a financial analyst, needs to update the monthly revenue forecast model. With Domo, she logs into the portal, navigates to the revenue dashboard, exports data, switches to Excel, pastes values, and manually updates formulas. If she needs different data, it's back to square one. Total time: 15 minutes per update. With Tellius, she exports a CSV, but when the CEO asks about a specific customer segment during the meeting, she can't investigate without leaving Excel. With Scoop, Sarah types in cell B2: 'Show me revenue by segment for last 6 months.' The data appears instantly. In B10, she adds =SCOOP('What's driving enterprise growth?') and gets the analysis inline. When the CEO asks about customer churn impact, she types the question and has the answer in 30 seconds, never leaving her model. The entire monthly process that took 2 hours now takes 20 minutes.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Domo and Tellius treat Excel as a necessary evil—a place where data goes to die. Scoop recognizes Excel as the world's most popular analytics platform and makes it exponentially more powerful. Instead of forcing users to learn new tools, Scoop brings AI-powered analysis directly into the spreadsheets they've used for decades. For the 750 million Excel users worldwide, this isn't just convenient—it's transformative.</p>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Side-by-Side Scenario Analysis</h3>
<p class="content-section__paragraph">Business decisions rarely happen in isolation. When executives ask 'What happens if we raise prices 5% versus cutting costs 10%?', they need to see multiple scenarios simultaneously, not sequentially. This capability—running parallel what-if analyses and comparing outcomes side-by-side—separates true analytical platforms from simple reporting tools. The architectural difference is stark: platforms built for investigation enable fluid scenario comparison, while dashboard-centric tools force users through multiple screens, exports, and manual compilation. Let's examine how Domo, Tellius, and Scoop handle this critical strategic planning need.</p>
<p class="content-section__paragraph">The fundamental architecture tells the story. Domo's card-based system treats each scenario as a separate dashboard widget, requiring users to create multiple cards and mentally compile results. . You can't simply ask 'compare scenarios A, B, and C'—you build three separate analyses. Tellius offers more flexibility through its search interface, but scenario comparison still requires exporting results and manual compilation. . The platform can run what-if analyses, but not in parallel within the same view. Scoop's conversational architecture enables true side-by-side comparison because scenarios are just different branches of the same investigation. Ask 'Compare revenue if we expand to 3 vs 5 new markets' and see both projections simultaneously. The critical difference: Scoop maintains context across scenarios, understanding that you're comparing alternatives, not just running isolated queries. This architectural advantage means business users can explore strategic options in real-time during meetings, rather than requesting IT support for dashboard modifications. The productivity impact is measurable: scenario analysis that takes hours in card-based systems happens in minutes through conversation.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A CFO enters Monday's board meeting with a critical decision: expand internationally or double down domestically. With Scoop, she types: 'Compare projected revenue if we enter 3 European markets versus expanding to 10 more US states.' Scoop instantly generates side-by-side projections, showing revenue, costs, and margins for each scenario. She follows up: 'What if we did both but phased over 2 years?' Another parallel comparison appears. Total time: 4 minutes. In Domo, this requires creating 6 different cards (3 scenarios × 2 metrics), setting up Beast Mode calculations for projections, and arranging them on a dashboard—typically a 2-hour IT request. Tellius could run each analysis, but comparing them means exporting to Excel and manual formatting. The board gets answers in real-time with Scoop, while traditional BI platforms force them to schedule a follow-up meeting.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Side-by-side scenario analysis reveals the gulf between investigation platforms and dashboard tools. Scoop's conversational approach enables parallel what-if exploration in minutes—business users simply describe scenarios in plain English. Domo and Tellius require technical setup, manual compilation, and often IT involvement for anything beyond basic comparisons. For strategic planning where comparing multiple options quickly is critical, the architectural advantage of conversation over configuration transforms decision-making speed.</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 next quarter's revenue, but finding them shouldn't require a data science degree. Modern platforms promise automatic pattern discovery and predictive insights, yet most still require technical configuration, model selection, and statistical expertise. The real question isn't whether a platform has ML capabilities—it's whether your business users can actually use them. Let's examine how each platform democratizes advanced analytics, from anomaly detection to predictive forecasting, and reveal which truly puts pattern discovery in business users' hands.</p>
<p class="content-section__paragraph">The fundamental divide in ML capabilities isn't about algorithms—it's about accessibility. Domo's AutoML feature requires users to prepare datasets, select target variables, and understand model types. Business users typically abandon it after the first attempt. Tellius takes a middle ground with its Genius Insights, automatically surfacing patterns but still requiring users to navigate a technical interface and understand statistical concepts. Scoop embeds ML invisibly into every query. Ask 'What's driving customer churn?' and Scoop automatically runs correlation analysis, identifies significant factors, and explains findings in business terms. No configuration, no model selection, no statistical knowledge required. The difference shows in adoption rates. Domo reports AutoML usage by less than 5% of users. Tellius sees higher engagement at around 20% for their automated insights. Scoop achieves 78% of users leveraging ML-powered insights because they don't even know they're using ML—they're just asking questions. This architectural difference matters for ROI. Traditional platforms require data scientists to configure and maintain ML models, adding $200K+ in annual costs. Scoop eliminates this overhead entirely.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A retail operations manager notices unusual inventory patterns across stores. With Domo, she would need to export data, work with IT to set up AutoML, wait for model training, then interpret technical outputs—a 2-3 day process typically abandoned for Excel. With Tellius, she could use the Genius Insights feature to explore patterns, though she'd need to understand which visualizations to create and how to interpret statistical significance—about 2 hours with training. With Scoop, she types: 'What's causing inventory anomalies in Northeast stores?' Scoop automatically identifies that Tuesday deliveries correlate with 23% higher shrinkage, weather delays increased stockouts by 31%, and three stores show statistical outliers in receiving processes. It even suggests investigating delivery driver assignments. Total time: 3 minutes. No technical knowledge, no configuration, just answers.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Machine learning in BI platforms follows a clear hierarchy: Domo requires technical expertise despite AutoML promises, Tellius simplifies discovery but maintains technical barriers, while Scoop makes ML invisible and automatic. The business impact is measurable: companies using Scoop identify 3x more actionable patterns because every user—not just data scientists—uncovers insights. When pattern discovery takes minutes instead of days, it becomes part of daily decision-making rather than quarterly projects.</p>
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<h3 class="content-section__subtitle">Workflow Integration & Mobile</h3>
<p class="content-section__paragraph">Modern data analysis happens everywhere—in Excel during budget planning, on phones during client meetings, in Slack during team discussions. Yet most BI platforms treat workflow integration as an afterthought, forcing users to context-switch between tools. The real question isn't whether a platform has mobile apps or APIs. It's whether business users can get answers without leaving their natural workflow. Let's examine how each platform handles the reality of distributed, mobile-first business intelligence.</p>
<p class="content-section__paragraph">The workflow integration divide reflects fundamental architecture choices. Domo built a portal-first platform, treating mobile and integrations as secondary channels. Their mobile app displays pre-built dashboards but can't handle new investigations. Excel users must export static data, breaking the analytical flow. Tellius attempted natural language but confined it to their web interface. Their Excel plugin exists but requires learning special syntax. Mobile remains an afterthought. Scoop's chat-first architecture naturally extends everywhere. The same conversation that works in the web app works identically in Excel, Slack, or mobile. A CFO can start investigating margin erosion in Excel, continue in Slack with the team, and finish on their phone at the airport. No context switching. No relearning interfaces. The investigation follows the user, not vice versa. This isn't about feature checkboxes—it's about respecting how business actually works. Knowledge workers live in productivity tools. Forcing them into separate BI portals breaks concentration and delays decisions.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A regional sales director notices unusual patterns during her morning Excel review. With Scoop's Excel add-in, she types directly in a sidebar: 'Why did Southeast region miss quota last month?' Scoop investigates automatically, revealing that three major accounts delayed purchases. She copies this thread to Slack, where her team adds context about competitor activity. During her afternoon flight, she continues the investigation on her phone, asking follow-up questions about customer sentiment scores. Total platform switches: zero. With Domo, she'd need to leave Excel, log into the portal, build multiple dashboard filters, screenshot results for Slack, and lose all context on mobile. The investigation that takes 10 minutes in Scoop requires 45 minutes and four different interfaces in traditional BI platforms.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Workflow integration isn't about having APIs or mobile apps—it's about preserving analytical context across platforms. Scoop's chat interface works identically everywhere, eliminating the friction of platform switching. While Domo and Tellius force users into their portals, Scoop brings intelligence to where work actually happens. For organizations where speed matters, this difference compounds into hours saved weekly per user.</p>
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<h2 class="content-section__title">Frequently Asked Questions</h2>
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<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 Domo and Tellius which require IT setup, Scoop connects directly to your data in 30 seconds.</p>
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<h3 class="content-section__subtitle">How do I investigate anomalies in Domo?</h3>
<p class="content-section__paragraph">Domo requires building drill-down dashboards before anomalies occur, limiting investigation to pre-configured paths. Scoop lets you ask follow-up questions naturally, chaining 3-10 queries to find root causes. Domo's single-query architecture means each new question requires dashboard modifications, while Scoop adapts instantly to your investigation flow.</p>
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<h3 class="content-section__subtitle">Can Tellius do root cause analysis automatically?</h3>
<p class="content-section__paragraph">Tellius offers automated insights but requires extensive IT configuration and semantic layer setup first. With BUA score 22/100, business users can't investigate independently. Scoop performs true root cause analysis through multi-pass investigation, asking follow-up questions automatically. No pre-configuration needed—just describe the problem in plain English.</p>
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<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 to investigate problems. Unlike Domo's dashboard-first approach or Tellius's IT-dependent setup, Scoop follows your thought process naturally. Ask why revenue dropped, it checks regions, products, and timeframes automatically, presenting complete investigation results with supporting charts.</p>
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<h3 class="content-section__subtitle">Does Domo work with Excel?</h3>
<p class="content-section__paragraph">Domo offers Excel exports but requires navigating their portal first, breaking your workflow. Scoop works directly inside Excel through native integration—analyze data without leaving spreadsheets. Domo's portal-centric design means constant context switching, while Scoop brings AI analysis to where business users already work daily.</p>
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<h3 class="content-section__subtitle">Can I use Tellius directly in Slack?</h3>
<p class="content-section__paragraph">Tellius lacks native Slack integration, requiring users to access their separate portal for analysis. Scoop works directly in Slack—tag @scoop with questions, get answers with charts instantly. While Tellius forces workflow disruption, Scoop brings data insights into your team conversations, making collaborative analysis seamless and immediate.</p>
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<h3 class="content-section__subtitle">What does Domo really cost including implementation?</h3>
<p class="content-section__paragraph">Domo's true cost includes licenses, 3-6 month implementation, training programs, ongoing maintenance, consultant fees, and productivity loss during adoption. Total typically reaches 5-10x the license fee. Scoop eliminates implementation, training, maintenance, and consultant costs entirely—just subscription pricing. This reduces total cost of ownership by 90%.</p>
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<h3 class="content-section__subtitle">Do I need consultants to use Domo?</h3>
<p class="content-section__paragraph">Yes, most Domo deployments require consultants for initial setup, dashboard creation, and ongoing modifications. Their BUA score of 62/100 reflects this IT dependency. Scoop eliminates consultant needs entirely—business users connect data and start analyzing in 30 seconds. No semantic layers, no dashboard design, just natural conversation.</p>
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<h3 class="content-section__subtitle">How long does it take to learn Domo?</h3>
<p class="content-section__paragraph">Domo requires 2-4 weeks of formal training plus months to master dashboard creation and Beast Mode calculations. Their moderate BUA score reflects this learning curve. Scoop requires zero training—if you can type a question, you're ready. Business users become productive immediately, not after weeks of classes.</p>
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<h3 class="content-section__subtitle">Do I need SQL knowledge for Tellius?</h3>
<p class="content-section__paragraph">While Tellius claims natural language capability, complex queries often require SQL knowledge or IT assistance. Their BUA score of 22/100 confirms heavy technical dependency. Scoop handles all SQL automatically—ask questions in plain English, get answers immediately. No technical knowledge needed, ever. True business user autonomy.</p>
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<h3 class="content-section__subtitle">Can business users use Scoop without IT help?</h3>
<p class="content-section__paragraph">Yes, business users connect Scoop to data and start analyzing in 30 seconds—zero IT involvement. Unlike Domo's dashboard dependencies or Tellius's semantic layer requirements, Scoop works immediately. With BUA score 82/100, Scoop delivers true autonomy. IT can focus on infrastructure while business users handle their own analysis.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Which is better for business users: Domo or Tellius?</h3>
<p class="content-section__paragraph">Domo scores BUA 62/100 versus Tellius at 22/100, making Domo more business-user friendly. However, both require significant IT support. Scoop at 82/100 surpasses both, eliminating dashboards and semantic layers entirely. For true business autonomy, Scoop's chat-based approach beats both traditional architectures.</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 a dashboard platform. While Domo and Tellius require building views before asking questions, Scoop answers directly through conversation. No semantic layers, no pre-aggregation, no dashboard design. Just ask questions naturally and get answers with charts immediately.</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 conversation like ChatGPT—if you can ask a colleague for help, you can use Scoop. No dashboards to design, no formulas to learn, no SQL to write. While Domo and Tellius require weeks of training, Scoop users become productive in minutes through intuitive chat interface.</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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