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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 Qlik Sense 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">Qlik Sense</div>
<div class="score-card__score">47/100</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) and Qlik Sense (47/100) trap users in dashboards. Both competitors require IT support for anything beyond predefined views, blocking the iterative questioning business users need. Choose Scoop for immediate independence, competitors only if already invested in 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 and 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">Your business users need to investigate data independently without IT tickets</li>
<li class="content-section__list-item">Teams work primarily in Excel and need analytics without leaving spreadsheets</li>
<li class="content-section__list-item">You want to eliminate consultant dependencies and training costs permanently</li>
<li class="content-section__list-item">Non-technical users need answers in minutes, not days or weeks</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 heavily invested in the Domo ecosystem and can't migrate</li>
<li class="content-section__list-item">Your use cases are purely operational dashboards without investigation needs</li>
<li class="content-section__list-item">You have dedicated IT resources to maintain semantic layers continuously</li>
</ul>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Consider Qlik Sense If</h3>
<ul class="content-section__list">
<li class="content-section__list-item">You have existing Qlik infrastructure with significant sunk costs</li>
<li class="content-section__list-item">Your analytics needs are limited to static reporting requirements</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 reflects genuine business empowerment, while Domo's 62/100 and Qlik Sense's 47/100 expose continued IT dependency . The future belongs to platforms that trust business users with their own data.</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>Qlik Sense</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class=""><strong>BUA Score</strong></td><td class="">62/100</td><td class="">47/100</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>Qlik Sense</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 Flexibility</td><td class="">1/8</td><td class="">2/8</td><td class="">6/8</td>
</tr>
<tr>
<td class="">Setup Independence</td><td class="">0/8</td><td class="">1/8</td><td class="">4/8</td>
</tr>
<tr>
<td class="">Learning Curve</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 18/20 on Autonomy versus near-zero for Domo and Qlik Sense because business users can investigate any question through natural conversation without IT help. Traditional BI platforms require dashboard creation, semantic layer setup, and technical knowledge that keeps business users dependent on data teams.</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>Qlik Sense</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Workflow Integration</td><td class="">1/8</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 Flow</td><td class="">2/8</td><td class="">2/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Investigation Continuity</td><td class="">0/8</td><td class="">1/8</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 Qlik Sense score near zero, forcing users into separate portals. Scoop eliminates the 23-minute context-switch penalty of portal-based analytics, maintaining full conversation history for natural follow-up questions.</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>Qlik Sense</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="">Error Message Clarity</td><td class="">0/8</td><td class="">0/8</td><td class="">6/8</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="">Query Refinement</td><td class="">0/8</td><td class="">0/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Semantic Layer Independence</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 16/20 on Understanding by accepting plain English questions while Domo and Qlik Sense score 0/20, requiring technical syntax and database knowledge. Business users ask Scoop questions conversationally without learning query languages, understanding data schemas, or translating business terms into field names.</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>Qlik Sense</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Automatic Formatting</td><td class="">2/8</td><td class="">3/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Context Awareness</td><td class="">1/8</td><td class="">2/8</td><td class="">6/8</td>
</tr>
<tr>
<td class="">Narrative Generation</td><td class="">0/8</td><td class="">1/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Export Flexibility</td><td class="">5/8</td><td class="">6/8</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 15/20 on Presentation by automatically generating formatted narratives with explanations, while Domo and Qlik Sense require manual chart building and formatting. Scoop transforms questions into presentation-ready insights with context-aware visualizations and explanatory text. Traditional BI tools provide visualization components users must manually assemble into stories.</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>Qlik Sense</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Data Connection Setup</td><td class="">2/8</td><td class="">2/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Data Preparation Requirements</td><td class="">1/8</td><td class="">2/8</td><td class="">6/8</td>
</tr>
<tr>
<td class="">Semantic Layer Dependency</td><td class="">0/8</td><td class="">1/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Data Refresh Control</td><td class="">2/8</td><td class="">2/8</td><td class="">6/8</td>
</tr>
<tr>
<td class="">Cross-Source Analysis</td><td class="">1/8</td><td class="">1/8</td><td class="">5/8</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 semantic layers and ETL requirements. Domo and Qlik Sense require extensive IT setup, data modeling, and maintenance before business users can analyze. Scoop connects directly to raw data, enabling immediate investigation without technical dependencies.</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 what happened through dashboards. Investigation platforms help you understand why. This capability separates single-query tools from true analytical assistants. Most platforms require you to know what questions to ask. Investigation means the platform explores hypotheses for you, testing correlations and uncovering patterns you didn't know to look for. It's the difference between being a dashboard viewer and a business detective.</p>
<p class="content-section__paragraph">The fundamental architecture difference is striking. Domo operates on a dashboard paradigm where each question requires building or modifying a card. Users must know exactly what to visualize before they start. Qlik Sense's associative model is powerful but requires users to understand data relationships and click through multiple selections to find patterns. Neither platform can automatically investigate a business question. Scoop's investigation engine runs multiple queries automatically when you ask 'why' questions. Ask 'Why did sales drop?' and it checks seasonality, compares segments, analyzes product mix, and identifies correlating factors without additional prompts. This isn't about better dashboards—it's about eliminating dashboards entirely for investigation work. Business users describe Scoop as 'having a data analyst who never sleeps.' The platform generates 3-10 queries per investigation, testing hypotheses you didn't know to test. Domo users must manually create each analysis step. Qlik users must understand the associative model to navigate effectively. The time difference is dramatic: 2-5 minutes with Scoop versus 30-60 minutes in traditional BI platforms.</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 inventory levels high in California stores?' Scoop automatically investigates: checking sales trends, comparing to other regions, analyzing product categories, identifying supply chain delays, and discovering a correlation with a competitor's promotion. Total elapsed time: 3 minutes. With Domo, she would need to create separate cards for regional comparison, trend analysis, and product breakdown—assuming she knew to check competitor activity. Each card takes 5-10 minutes to configure. With Qlik Sense, she'd click through the associative model, manually selecting California, different time periods, and product categories. But without knowing about the competitor promotion, she'd miss the root cause entirely. The investigation capability difference isn't incremental—it's architectural.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Scoop delivers 10x faster root cause analysis through automatic multi-pass investigation. While Domo requires manual dashboard creation for each question and Qlik Sense depends on user-driven exploration, Scoop automatically tests hypotheses and uncovers patterns. Business users get answers in 2-5 minutes instead of 30-60 minutes. This isn't about better dashboards—it's about replacing the entire dashboard paradigm with intelligent investigation.</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 BI data into Excel to create the 'real' reports executives actually use. This workflow reveals a fundamental truth: business users trust Excel's flexibility over rigid dashboards. The question isn't whether platforms support Excel—it's whether they eliminate the export-manipulate-report cycle entirely. Modern platforms should bring analytics TO Excel users, not force them to abandon their trusted environment. Let's examine how Domo, Qlik Sense, and Scoop handle this critical workflow that consumes 40% of analyst time.</p>
<p class="content-section__paragraph">The architectural divide becomes clear in Excel integration. Domo and Qlik Sense built Excel add-ins as afterthoughts to their dashboard-first architecture. Users must learn platform-specific syntax—Domo's Beast Mode or Qlik's set expressions—defeating Excel's purpose as the universal business tool. Scoop takes the opposite approach: bringing a full AI analyst into Excel via API. Users type questions like 'What drove the revenue spike in March?' directly in cells. No syntax. No training. The real friction appears in refresh cycles. Domo limits live connections to prevent server overload. Qlik requires constant server connectivity. Both force users to pre-define metrics in semantic layers before Excel access. Scoop queries raw data directly, eliminating the semantic layer bottleneck. This means a financial analyst can investigate variance drivers without waiting for IT to add new calculated fields. The collaboration gap is striking. Domo and Qlik push users back to their platforms for sharing. Scoop leverages Excel's native sharing, keeping teams in familiar workflows.</p>
<p class="content-section__paragraph"><strong>Example</strong>: Sarah, a financial analyst, needs to investigate budget variances for the board meeting. With Domo's Excel add-in, she connects to pre-built datasets, but the variance calculation she needs isn't in the semantic layer. She emails IT, waits two days, then pulls the data. With Qlik Sense, she writes a set expression: Sum({<Year={2024}>}Sales)-Sum({<Year={2023}>}Sales), but it errors due to fiscal calendar complexities. She exports to CSV and calculates manually. With Scoop's approach, Sarah types in a cell: 'Calculate sales variance by region comparing this year to last year, adjusted for fiscal calendar.' Scoop returns the analysis with explanations. She adds 'Why did Southwest region underperform?' Scoop identifies three discontinued products. Total time: 5 minutes versus 2 days. The board gets answers, not excuses about data availability.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Excel integration reveals each platform's true philosophy. Domo and Qlik treat Excel as an export destination, requiring users to learn their proprietary languages and pre-define all metrics. Scoop treats Excel as a legitimate analytics environment, bringing AI-powered analysis directly to users. For organizations where Excel drives real decision-making—which is nearly all of them—Scoop's approach eliminates the export-manipulate-email cycle that consumes 40% of analyst time.</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 10% versus expanding into new markets?', they need to see multiple scenarios simultaneously. This isn't about building separate dashboards—it's about dynamically comparing different business paths in real-time. Traditional BI forces you to export data and build comparison models in Excel. Modern platforms should let business users explore scenarios interactively, adjusting variables and seeing impacts instantly. Let's examine how each platform handles this critical strategic planning need.</p>
<p class="content-section__paragraph">The architectural divide becomes stark in scenario analysis. Domo's approach centers on pre-built scenario planning apps that IT must configure. Business users get polished interfaces but can only adjust predetermined variables. Creating new scenarios means submitting IT requests. Qlik Sense leverages its associative model for more flexibility, but users need Set Analysis expressions like {<Year={2024}, Scenario={'Optimistic'}>} to build comparisons. This powerful capability remains locked behind technical syntax. Scoop transforms scenario planning through conversation. Users simply ask 'Compare revenue if we increase prices 10% versus adding 3 new sales reps.' The AI automatically generates parallel scenarios, adjusting all dependent calculations. When executives want sensitivity analysis, they ask 'How sensitive is this to customer churn rates?' rather than building Monte Carlo simulations. The fundamental difference: Domo and Qlik treat scenarios as technical constructs requiring setup. Scoop treats them as business questions requiring answers. This shifts scenario analysis from a specialized IT project to an everyday business tool.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A CFO preparing for board meeting needs to compare three growth strategies: geographic expansion, product line extension, and acquisition. With Domo, she requests IT to build a scenario planning dashboard—delivered in two weeks with fixed parameters. In Qlik Sense, her analyst spends three days creating parallel data models with Set Analysis for comparisons. With Scoop, she types: 'Compare three scenarios: expanding to Europe with 20% market penetration, launching premium product line with 40% margin, or acquiring CompetitorX for $50M.' Scoop instantly generates side-by-side projections showing revenue, costs, and ROI for each path. She refines: 'Add sensitivity analysis for exchange rate fluctuations in the Europe scenario.' The complete analysis takes 15 minutes. The board sees not just recommendations but the full reasoning path with adjustable assumptions.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Scenario analysis reveals the investigation versus dashboard divide. Domo and Qlik Sense require pre-building comparison frameworks—powerful when IT has anticipated your questions, useless when they haven't. Scoop enables real-time scenario exploration through conversation, turning strategic planning from a technical project into a business discussion. For organizations where agility matters more than pixel-perfect dashboards, this represents a fundamental capability shift.</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, forecast demand spikes, and reveal quality issues before they explode. But here's the problem: traditional BI tools make you choose between hiring data scientists or missing these insights entirely. Machine learning shouldn't require a PhD to deploy. Let's examine how Domo, Qlik Sense, and Scoop democratize pattern discovery for business users who need answers, not algorithms.</p>
<p class="content-section__paragraph">The fundamental divide isn't about ML algorithms—it's about accessibility architecture. Domo's Mr. Roboto requires separate licensing and technical configuration, creating a two-tier system where ML remains locked behind specialist gates. You're looking at 40-80 hours of setup before seeing first predictions. Qlik Sense improved with Insight Advisor, but still operates on a suggestion model where users must understand which visualizations reveal patterns. Their AutoML requires separate deployment and model management overhead. Scoop flips the paradigm entirely. Every question automatically runs pattern detection. Ask 'What's unusual about last month's sales?' and get anomalies highlighted without configuring thresholds. The system proactively surfaces correlations during investigations. No model training. No parameter tuning. No separate ML workflow. This architectural difference means a regional manager can discover that weather patterns correlate with product returns in three minutes versus three weeks. The investigation engine automatically tests hypotheses, comparing time periods, segments, and variables to isolate root causes. Traditional platforms make you build the investigation manually.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A retail operations manager notices inventory discrepancies across 50 stores. With Scoop, she types: 'What patterns explain inventory variance across stores?' Scoop automatically analyzes store size, location, staff turnover, seasonal patterns, and theft reports, discovering that stores with new managers show 23% higher variance for 60 days. Total discovery time: 4 minutes. With Domo, she'd need to request IT setup predictive models in Mr. Roboto, wait for training data preparation, configure feature engineering, then interpret technical outputs—typically a 2-3 week process requiring data team support. Qlik's Insight Advisor might suggest exploring manager tenure after multiple manual pivots, but wouldn't automatically test the correlation or quantify the impact period. The business difference: Scoop delivers actionable insight during the morning meeting, while competitors deliver it after the problem has compounded for weeks.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Machine learning in BI platforms splits into two camps: those requiring technical specialists to configure models (Domo, Qlik) and those that embed ML invisibly into business conversations (Scoop). While Domo and Qlik offer powerful ML capabilities, they remain gated behind complexity that excludes 90% of business users. Scoop makes pattern discovery as simple as asking a question.</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. The real test isn't whether a platform has mobile apps or integrations, but whether business users can actually get answers where they work. Most BI tools force you to leave your workflow, log into a portal, navigate dashboards, then manually share screenshots. Let's examine how each platform handles the reality of distributed, mobile-first business intelligence.</p>
<p class="content-section__paragraph">The fundamental divide in workflow integration isn't about feature count—it's about interaction paradigm. Domo and Qlik Sense follow the portal model: users must leave their workflow, navigate to the BI tool, find the right dashboard, then return with screenshots. Their mobile apps are consumption-focused, offering dashboard viewing but limited investigation. Domo's mobile app received a 2.8 App Store rating, with users citing 'can't do real analysis.' Qlik's Excel add-in requires learning Qlik's formula syntax, defeating the purpose of staying in familiar Excel. Scoop's chat-based approach means the same natural language works everywhere—Excel, Slack, mobile browser. You ask 'Why did sales drop?' in any channel and get the same analytical depth. The Excel add-in puts a data analyst inside your spreadsheet. The Slack integration means teams investigate together without leaving their conversation. However, Scoop currently lacks native mobile apps and offline capability, limiting field workforce scenarios. The API comparison reveals architectural philosophy: Domo's 100+ endpoints require significant developer resources, while Scoop's single chat endpoint integrates in hours, not weeks.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A regional sales director is reviewing quarterly results in Excel when she spots an anomaly in the Southeast region. With Scoop's Excel add-in, she types 'Why did Southeast enterprise deals drop 30% in Q3?' directly in a cell. Scoop investigates: comparing to other regions, checking seasonality, analyzing deal stages, and identifying that two major accounts delayed decisions. She shares findings in Slack where her team discusses responses. Total elapsed time: 5 minutes. With Domo, she would export data from Excel, log into Domo, navigate to the sales dashboard, manually filter by region and segment, take screenshots, then paste into Slack—assuming the dashboard even tracks deal stages. With Qlik, the Excel add-in would require writing Qlik formulas to pull the data, then manual analysis to find patterns. Neither competitor enables the fluid investigation that happened entirely within existing tools.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Workflow integration reveals each platform's true nature. Domo and Qlik bolt analytics onto your workflow through exports, add-ins, and mobile viewers—you still leave your work to visit their portal. Scoop embeds an AI analyst into your existing tools, enabling investigation wherever questions arise. The trade-off is clear: comprehensive mobile apps and offline capability versus natural language analysis that works everywhere you already work.</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 Domo and Qlik Sense 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: Domo or Qlik Sense?</h3>
<p class="content-section__paragraph">Domo scores 62/100 on business autonomy versus Qlik Sense's 47/100. Both require IT support for complex queries. Domo offers better self-service but still needs semantic layer maintenance. Qlik Sense requires more technical knowledge. Scoop at 82/100 eliminates both platforms' IT dependencies entirely.</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, not a dashboard builder. While Domo and Qlik Sense require creating visualizations first, Scoop answers questions directly through conversation. It runs 3-10 queries automatically to investigate problems. Traditional BI tools answer what happened; Scoop discovers why it happened.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Can Qlik Sense do root cause analysis automatically?</h3>
<p class="content-section__paragraph">No, Qlik Sense requires manual drill-downs and pre-built associations for root cause analysis. Users must know which dimensions to explore. Scoop automatically tests multiple hypotheses across 3-10 queries, finding correlations humans miss. Domo offers some automated insights but limited to single-query patterns.</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 chains 3-10 queries automatically for complete investigations. Ask why revenue dropped and it checks seasonality, customer segments, product mix, and regional patterns without prompting. Domo and Qlik Sense require manual navigation between dashboards. Scoop thinks like an analyst, not a query engine.</p>
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<div class="content-section__subsection">
<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, semantic layer maintenance, and often consultants. Total typically reaches 5-10x the license fee. Qlik Sense follows similar patterns. Scoop eliminates implementation, training, and consultant costs—reducing TCO by 90%.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">How long does it take to learn Domo?</h3>
<p class="content-section__paragraph">Domo requires 2-4 weeks for basic proficiency, months for advanced features. Creating effective dashboards needs understanding their proprietary Beast Mode calculations. Qlik Sense has similar learning curves. Scoop requires zero training—if you can type a question, you can analyze data immediately.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Do I need SQL knowledge for Qlik Sense?</h3>
<p class="content-section__paragraph">Yes, complex Qlik Sense analysis requires Set Analysis expressions, which are harder than SQL. Basic dashboards work without coding, but investigating problems needs technical skills. Domo uses Beast Mode formulas instead. Scoop handles all query complexity internally—users just ask questions in plain English.</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 to data sources in 30 seconds and start asking questions immediately. No semantic layers, no dashboard design, no formula writing. Domo and Qlik Sense both require IT for initial setup, data modeling, and maintaining calculation layers.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Does Domo work with Excel?</h3>
<p class="content-section__paragraph">Domo exports to Excel but doesn't work inside it. Users must switch contexts, losing their workflow. Qlik Sense has similar limitations. Scoop runs natively in Excel—analyze data without leaving spreadsheets. Ask questions in cells, get answers with charts directly in your workbook.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Can I use Qlik Sense directly in Slack?</h3>
<p class="content-section__paragraph">Qlik Sense offers limited Slack notifications but no native analysis. Users get alerts then must open Qlik to investigate. Domo has similar constraints. Scoop works fully in Slack—ask questions, get charts, share insights without leaving conversations. True workflow integration, not just notifications.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Is Domo easier to use than Qlik Sense?</h3>
<p class="content-section__paragraph">Domo scores 62/100 for business user autonomy versus Qlik Sense's 47/100. Domo's card-based interface is more intuitive, but both require technical knowledge for complex analysis. Scoop at 82/100 eliminates the learning curve entirely—just type questions like you'd ask an analyst.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">What's the typical implementation time for Qlik Sense?</h3>
<p class="content-section__paragraph">Qlik Sense implementation takes 3-6 months including data modeling, app development, and user training. Domo follows similar timelines. Both require consultants for complex deployments. Scoop connects in 30 seconds, delivers value immediately. No implementation project, no consultants, no waiting for IT.</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—no new interface to learn. Type questions as you'd ask a colleague. Domo and Qlik Sense require learning their visualization builders, calculation languages, and data modeling concepts. With Scoop, your existing communication skills are your analytics skills.</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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