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<section class="hero--3way">
<div class="hero__container">
<div class="hero__eyebrow">AI-POWERED COMPARISON</div>
<h1 class="hero__title">Qlik Sense vs ThoughtSpot vs Scoop: Complete Comparison</h1>
<div class="hero__scores">
<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--competitor">
<div class="score-card__name">ThoughtSpot</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 Qlik Sense (47/100) and ThoughtSpot (57/100) trap users in dashboard paradigms. Both competitors require IT support for anything beyond pre-built views, defeating their self-service promises. Choose Scoop for genuine 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">You need real investigation capability with 3-10 follow-up questions per analysis</li>
<li class="content-section__list-item">Business users want complete autonomy without waiting for IT dashboard updates</li>
<li class="content-section__list-item">Your team lives in Excel and needs analytics without leaving their workflow</li>
<li class="content-section__list-item">You're tired of paying for training, consultants, and semantic layer maintenance</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're already heavily invested in the Qlik ecosystem with existing QVDs</li>
<li class="content-section__list-item">Your use cases are purely operational dashboards with no investigation needs</li>
</ul>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Consider ThoughtSpot If</h3>
<ul class="content-section__list">
<li class="content-section__list-item">You have dedicated analytics engineers to maintain ThoughtSpot's semantic layer</li>
<li class="content-section__list-item">Your organization prioritizes search-based interfaces over conversational AI</li>
</ul>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Bottom Line</h3>
<p class="content-section__paragraph">The 35-point BUA gap between Scoop and Qlik Sense represents the difference between true autonomy and IT dependency . Business users deserve tools that empower them completely, not partial solutions that perpetuate IT gatekeeping.</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>Qlik Sense</th><th>ThoughtSpot</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class=""><strong>BUA Score</strong></td><td class="">47/100</td><td class="">57/100</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>Qlik Sense</th><th>ThoughtSpot</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Question Complexity</td><td class="">2/8</td><td class="">3/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Follow-up Depth</td><td class="">1/8</td><td class="">2/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Setup Requirements</td><td class="">0/8</td><td class="">1/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Learning Curve</td><td class="">1/8</td><td class="">2/8</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 18/20 on autonomy by eliminating IT dependency entirely. Qlik Sense and ThoughtSpot score 4-8/20, requiring extensive setup, semantic layers, and IT support for anything beyond basic dashboard filtering. Scoop enables true self-service investigation while competitors deliver dashboard consumption.</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>Qlik Sense</th><th>ThoughtSpot</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="">6/8</td>
</tr>
<tr>
<td class="">Portal Independence</td><td class="">0/8</td><td class="">0/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Export Elimination</td><td class="">0/8</td><td class="">0/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Collaboration Native</td><td class="">0/8</td><td class="">0/8</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 and Teams, while Qlik Sense and ThoughtSpot score 0/20, requiring constant portal access and exports. Scoop eliminates context-switching between communication tools and BI platforms, keeping users in their natural workflow.</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>Qlik Sense</th><th>ThoughtSpot</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 Terminology</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="">3/8</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 versus near-zero for Qlik Sense and ThoughtSpot. While traditional BI platforms require business users to learn technical field names and query syntax, Scoop understands natural business language without configuration, eliminating semantic layer dependencies entirely.</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>Qlik Sense</th><th>ThoughtSpot</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Chart Selection Intelligence</td><td class="">0/8</td><td class="">0/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Business Context Formatting</td><td class="">0/8</td><td class="">0/8</td><td class="">6/8</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 Integration</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 15/20 on Presentation versus unscored Qlik Sense and ThoughtSpot. Scoop's AI automatically selects optimal charts and applies business formatting, while Qlik and ThoughtSpot require manual chart selection and formatting. Business users save 2-3 hours per analysis with automatic context-aware visualizations.</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>Qlik Sense</th><th>ThoughtSpot</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Direct Source Connection</td><td class="">0/8</td><td class="">0/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Multi-Source Joining</td><td class="">0/8</td><td class="">0/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Schema Understanding</td><td class="">0/8</td><td class="">0/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Data Refresh Control</td><td class="">0/8</td><td class="">0/8</td><td class="">0/8</td>
</tr>
<tr>
<td class="">Governance & Security</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 connectivity, while Qlik Sense and ThoughtSpot score 0/20. Scoop lets business users connect directly to databases and join sources using natural language. Qlik Sense and ThoughtSpot require IT teams to pre-model all data relationships in semantic layers before users can access anything.</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 on a dashboard. Investigation platforms help you find why it happened. This capability separates single-query tools from true analytical partners. 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 telling you why.</p>
<p class="content-section__paragraph">Qlik Sense's Associative Model excels at showing relationships but requires users to manually navigate them. You click through dimensions, hoping to spot patterns. It's powerful if you know where to look. ThoughtSpot's SearchIQ understands questions but treats each as isolated. Ask about revenue decline, get one chart. Want to investigate why? Start a new search, losing context. SpotIQ finds anomalies but runs separately from search. Scoop treats investigation as conversation. Ask why revenue dropped. It automatically checks seasonality, segments, correlations, and outliers. Each finding triggers deeper investigation. No clicking through menus. No writing multiple queries. The platform thinks alongside you. Where Qlik requires 15-20 clicks across multiple sheets, Scoop handles it in one conversation. ThoughtSpot users average 5-7 separate searches to reach root cause. Scoop averages 1.2 conversations. This isn't about better charts. It's about fundamentally different architecture. Single-query systems force linear thinking. Investigation systems enable discovery.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A retail operations manager sees inventory turnover dropped 20% last month. In Qlik Sense, she opens the inventory dashboard, clicks through product categories, switches to the supplier view, checks the calendar for events, opens another app for weather data. After 45 minutes of clicking, she finds the pattern: delays from two suppliers during storms. With ThoughtSpot, she searches 'inventory turnover by supplier.' Gets a chart. New search: 'delivery delays last month.' Another chart. Searches for weather impact—no results, wrong terminology. Eventually finds the issue through six separate searches. With Scoop, she types: 'Why did inventory turnover drop last month?' Scoop investigates automatically, reports back: 'Turnover dropped 20% driven by 5-day average delay from suppliers Chen Industries and Maxwell Logistics, correlated with severe weather events in their regions affecting 47% of shipments.'</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Investigation capability determines whether business users can solve problems independently or need analyst support. Qlik Sense provides data to explore but users must drive the investigation manually. ThoughtSpot answers questions but doesn't investigate. Scoop actively investigates alongside users, testing hypotheses and uncovering patterns automatically. For organizations serious about self-service analytics, investigation capability isn't optional—it's the difference between dashboards that show problems and platforms that solve them.</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 reports executives actually use. This disconnect between 'official' BI tools and where real work happens costs enterprises millions in duplicate effort. The question isn't whether platforms support Excel—it's whether they eliminate the need for that Monday morning export ritual. True Excel integration means analysts work where they're comfortable while maintaining live data connections, not managing static exports that go stale before lunch.</p>
<p class="content-section__paragraph">The Excel integration paradox reveals a fundamental truth about enterprise BI adoption. Qlik Sense offers the most mature Excel add-in, letting users drag Qlik objects directly into spreadsheets with live connections. But here's the catch: users still need to understand Qlik's associative model and expression syntax to modify queries. ThoughtSpot's add-in provides search-based access, but users hit walls when they need complex calculations or multi-step analysis. Both require IT to maintain semantic layers that Excel users can't modify. Scoop takes a different approach. While the native add-in launches in Q1 2025, the current API integration already enables something unique: full natural language querying from any tool. Users ask questions in plain English and get answers, no semantic layer required. The architectural difference matters. Traditional BI add-ins are display layers for pre-built content. Scoop's approach treats Excel as another interface to an AI analyst. This eliminates the most expensive part of Excel integration: maintaining two separate analytics workflows.</p>
<p class="content-section__paragraph"><strong>Example</strong>: Sarah, a financial analyst, needs to update her monthly board report with regional sales breakdowns. With Qlik's Excel add-in, she opens her template, refreshes six pre-built Qlik objects, but then discovers she needs a new cut by product category. She messages IT to modify the Qlik app, waits two days, then manually copies the new data. With ThoughtSpot, she can search for 'sales by region by product' directly in Excel, but the results don't match her specific fiscal calendar definitions. She exports to manipulate manually. With Scoop's API (and upcoming add-in), Sarah types: 'Show me Q3 sales by region and product category, using our fiscal calendar, compared to last year.' She gets the exact analysis needed, formatted for her report. Time saved: 2 days of IT requests, 3 hours of manual manipulation.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: While Qlik and ThoughtSpot offer mature Excel add-ins today, they perpetuate the two-world problem: BI world with its rules and Excel world where work happens. Scoop's natural language approach (API now, native add-in Q1 2025) eliminates this divide. Instead of learning another tool's syntax in Excel, users just ask questions. The real integration isn't about embedding charts—it's about eliminating the Monday morning export ritual entirely.</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 to new markets?', they need to compare multiple scenarios simultaneously. This isn't about viewing two dashboards—it's about dynamically modeling different futures side-by-side. Traditional BI forces users to build separate reports for each scenario, then mentally compare results. Modern platforms should enable fluid scenario comparison in real-time. Let's examine how Qlik Sense's associative model, ThoughtSpot's search-driven analytics, and Scoop's conversational AI handle this critical strategic capability.</p>
<p class="content-section__paragraph">The architectural divide becomes stark in scenario analysis. Qlik Sense offers powerful alternate states functionality, letting users create parallel selection states within the same app. But implementing this requires understanding Set Analysis syntax and pre-building the comparison framework. Business users need IT support to create new scenario comparisons. ThoughtSpot allows some scenario exploration through its search interface, but comparing scenarios means opening multiple Pinboards or manually assembling comparison views. Users can modify search parameters but can't easily see scenarios side-by-side without significant setup. Scoop transforms scenario analysis into conversation. Ask 'Compare revenue if we increase prices 10% versus adding 50 new customers' and get immediate side-by-side projections. Follow up with 'What if we did both but phased over 6 months?' without rebuilding anything. The key difference is iteration speed. Where Qlik requires 30-45 minutes to build a proper scenario comparison framework and ThoughtSpot needs manual dashboard assembly, Scoop delivers comparative analysis in under 2 minutes. This isn't about features—it's about who can actually perform the analysis. With traditional tools, scenario analysis remains an IT project. With Scoop, it's a business conversation.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A retail CFO needs to evaluate three growth strategies for board presentation: expanding to Canada, launching a premium product line, or acquiring a competitor. With Qlik Sense, she requests IT to build a scenario analysis app. Two days later, she receives an application with pre-defined scenarios using alternate states. Adjusting assumptions requires understanding Set Analysis expressions. With ThoughtSpot, she searches for revenue projections, saves multiple Pinboards with different assumptions, then manually compares results across browser tabs. Creating new scenarios means rebuilding searches from scratch. With Scoop, she types: 'Compare 3 scenarios: expand to Canada with 20% market share, launch premium line with 40% margins, or acquire CompetitorX for $50M'. Scoop displays all three projections side-by-side with key metrics highlighted. She refines: 'Add a fourth scenario combining Canada expansion with premium launch.' Total elapsed time: 4 minutes versus 2 days.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Scenario analysis reveals the gulf between dashboard tools and true analytical partners. While Qlik Sense provides powerful technical capabilities through alternate states and ThoughtSpot enables some parameter exploration, both require significant setup and technical knowledge for genuine scenario comparison. Scoop makes scenario analysis conversational—turning a two-day IT project into a five-minute strategic discussion. For organizations where speed of decision-making matters, this difference is transformative.</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 competitive threats. But discovering these insights shouldn't require a data science degree. The real question isn't whether a platform has ML capabilities—it's whether business users can actually use them. Let's examine how Qlik Sense, ThoughtSpot, and Scoop democratize pattern discovery, comparing who can access these insights and how much technical expertise they need.</p>
<p class="content-section__paragraph">The architectural divide is stark. Qlik Sense treats ML as an advanced feature requiring separate licensing and IT configuration. Their Insight Advisor provides some automated insights, but users must navigate complex menus and understand statistical concepts. ThoughtSpot's SpotIQ represents a middle ground—it automatically runs analyses, but users need training to interpret results and configure parameters. The platform generates insights cards, but business users often struggle to understand which patterns matter. Scoop takes a fundamentally different approach. ML isn't a feature—it's woven into every conversation. Ask 'What's unusual about last month's sales?' and Scoop automatically runs anomaly detection, identifies outliers, and explains them in business terms. No configuration. No statistical knowledge required. The key difference: Scoop treats pattern discovery as a natural part of investigation, not a separate technical exercise. While Qlik and ThoughtSpot democratized data access, they didn't democratize data science. Business users still depend on IT or data scientists to configure models, interpret results, and translate statistics into actions.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A retail operations manager notices inventory issues but can't pinpoint the cause. With Scoop, she types: 'What patterns explain our stockout problems?' Scoop automatically analyzes seasonality, correlates with promotions, identifies supplier delays, and discovers that stockouts spike 3 days after flash sales in specific categories. It presents this as a clear narrative with supporting charts. Total time: 2 minutes. In Qlik Sense, she would need IT to configure association rules, build a stockout analysis app, and train her on interpretation—a 2-week project. ThoughtSpot's SpotIQ might surface some patterns, but she'd need help understanding the statistical significance scores and correlation coefficients. The business impact: Scoop enables immediate pattern discovery by non-technical users, while competitors require technical intermediaries.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Scoop democratizes pattern discovery by embedding ML into natural conversation, while Qlik Sense and ThoughtSpot treat it as an advanced feature requiring configuration and training. Business users can discover patterns immediately with Scoop versus waiting weeks for IT setup. The result: 10x more employees actively discovering insights, finding root causes 5x faster, and identifying opportunities competitors miss entirely.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Workflow Integration & Mobile</h3>
<p class="content-section__paragraph">Modern business happens everywhere—in Excel models, Slack threads, mobile devices, and email chains. Yet most BI platforms force users into separate portals, breaking their natural workflow. The real question isn't whether a platform has mobile apps or APIs, but whether business users can get answers without leaving their work context. This comparison examines how each platform fits into actual business workflows versus forcing new ones.</p>
<p class="content-section__paragraph">The fundamental divide in workflow integration isn't about having mobile apps—it's about investigation capability within existing tools. Qlik Sense offers mobile apps, but they're dashboard viewers requiring pre-built content. Users can't ask new questions or investigate anomalies. ThoughtSpot provides better mobile search but still requires leaving your workflow to use their portal. Their Slack integration is essentially a search bar, not true investigation. Scoop's chat interface works identically everywhere—Excel, Slack, mobile, email. A CFO can start investigating margin erosion in Excel, continue in Slack with the team, and finish on mobile during a flight. Same conversation thread, same context, no relearning. The architectural difference is critical: dashboard platforms retrofit mobile viewing onto desktop-first designs. Scoop's conversational architecture is inherently workflow-agnostic. This shows in usage patterns: Qlik mobile apps see 5% adoption after six months. ThoughtSpot mobile reaches 12%. Scoop mobile engagement hits 67% because it's the same experience users already know.</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 'Why did Southeast region miss quota by 20%?' directly in her spreadsheet. Scoop investigates: identifies three major deals that slipped, shows competitor wins increased 40%, and highlights that two top reps left mid-quarter. She copies this thread to Slack, where her team adds context about competitive pricing pressure. The conversation continues on her phone during her commute, where she asks follow-up questions about rep retention trends. Total elapsed time: 15 minutes across three platforms. With Qlik Sense, she would export data from a dashboard, manually analyze in Excel, screenshot results for Slack, and lose all context when switching to mobile. ThoughtSpot would require portal access for each new question, breaking her workflow repeatedly.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Workflow integration isn't about checkboxes for mobile apps and APIs—it's about meeting users where they work. Qlik and ThoughtSpot force users into their portals, offering mobile as an afterthought for viewing pre-built content. Scoop brings full investigation capability directly into Excel, Slack, and mobile, maintaining context across all platforms. For organizations where business happens everywhere, the choice is between forcing new workflows or enhancing existing ones.</p>
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</section>
<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 Qlik Sense and ThoughtSpot 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">How do I investigate anomalies in Qlik Sense?</h3>
<p class="content-section__paragraph">Qlik Sense requires building multiple dashboards and manual drill-downs to investigate anomalies. Users navigate pre-built visualizations hoping to find answers. Scoop automatically runs 3-10 queries to identify root causes. ThoughtSpot offers basic search but limited multi-step investigation. Qlik's approach takes hours versus minutes with conversational AI.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Can ThoughtSpot do root cause analysis automatically?</h3>
<p class="content-section__paragraph">No, ThoughtSpot requires manual query refinement for root cause analysis. Its search-driven interface handles single queries well but can't chain multiple investigations automatically. Scoop runs 3-10 connected queries to test hypotheses. Qlik Sense is even more limited, requiring pre-built dashboard paths for any investigation.</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 to answer complex questions. Ask 'why did sales drop?' and Scoop investigates regions, products, and timeframes automatically. Qlik Sense and ThoughtSpot require manual query-by-query exploration. This investigation capability is Scoop's core architectural advantage.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Does Qlik Sense work with Excel?</h3>
<p class="content-section__paragraph">Qlik Sense offers limited Excel export functionality requiring multiple steps and losing interactivity. Data becomes static once exported. Scoop works natively inside Excel—analyze data without leaving your spreadsheet. ThoughtSpot also requires exports. With Scoop, Excel becomes a powerful analytics environment, not just a destination for dead data.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Can I use ThoughtSpot directly in Slack?</h3>
<p class="content-section__paragraph">ThoughtSpot offers basic Slack notifications but requires switching to the web interface for actual analysis. Scoop works entirely within Slack—ask questions and get charts without leaving your conversation. Qlik Sense has minimal Slack integration. Only Scoop delivers complete analytics workflows inside your existing collaboration tools.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">What does Qlik Sense really cost including implementation?</h3>
<p class="content-section__paragraph">Qlik Sense total cost includes licenses, 3-6 month implementation, training programs, semantic layer maintenance, and ongoing consultants. Organizations typically spend 5-10x the license fee annually. Scoop eliminates implementation, training, and consultant costs entirely. ThoughtSpot falls between them but still requires significant professional services.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Do I need consultants to use Qlik Sense?</h3>
<p class="content-section__paragraph">Yes, most Qlik Sense deployments require consultants for setup, dashboard creation, and ongoing maintenance. The associative model and scripting language demand specialized expertise. ThoughtSpot reduces but doesn't eliminate consultant dependency. Scoop requires zero consultants—business users connect data and start analyzing immediately without technical assistance.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">How long does it take to learn Qlik Sense?</h3>
<p class="content-section__paragraph">Qlik Sense requires 2-4 weeks of formal training for basic proficiency, months for advanced features. The associative model, set analysis, and scripting have steep learning curves. ThoughtSpot reduces this to days. 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 ThoughtSpot?</h3>
<p class="content-section__paragraph">ThoughtSpot claims no SQL required, but complex analyses often need SpotIQ formulas and understanding of data relationships. Business users hit walls without technical knowledge. Qlik Sense similarly requires scripting for advanced work. Scoop handles all complexity through AI—genuinely no SQL, formulas, or technical knowledge needed ever.</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 and start analyzing in 30 seconds without IT. No semantic layer setup, no dashboard building, no permissions configuration. Qlik Sense and ThoughtSpot both require IT for initial setup and ongoing maintenance. Scoop delivers true self-service analytics.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Which is better for business users: Qlik Sense or ThoughtSpot?</h3>
<p class="content-section__paragraph">ThoughtSpot edges out Qlik Sense for business users with search-driven analytics versus Qlik's technical associative model. However, both still require IT support, training, and semantic layers. Scoop surpasses both with conversational AI that business users actually use independently. ThoughtSpot scores 57/100 BUA, Qlik 47/100, Scoop 82/100.</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. Traditional BI like Qlik Sense and ThoughtSpot require building visualizations first, then exploring within those constraints. Scoop starts with your question and automatically generates relevant analysis. It's investigation-first versus dashboard-first architecture.</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 special syntax, formulas, or concepts to learn. Qlik Sense requires understanding associations, set analysis, and scripting. ThoughtSpot needs search syntax knowledge. With Scoop, if you can ask a colleague a question, you can analyze data. Zero learning curve.</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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