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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 Tellius 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">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 Qlik Sense (47/100) and Tellius (22/100) trap users in dashboard paradigms. Both competitors require IT support for new questions, forcing weeks of delays versus Scoop's instant answers. 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">You need answers to new questions daily without waiting for IT</li>
<li class="content-section__list-item">Your team lives in Excel and needs analysis without leaving it</li>
<li class="content-section__list-item">Business users want to investigate data through 3-10 follow-up questions</li>
<li class="content-section__list-item">You're tired of paying for dashboards nobody actually uses</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 and can't switch</li>
<li class="content-section__list-item">Your use cases are purely operational dashboards with fixed metrics</li>
<li class="content-section__list-item">You have dedicated IT resources for constant 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 need specific industry solutions Tellius has pre-built</li>
<li class="content-section__list-item">Your organization requires on-premise deployment only</li>
</ul>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Bottom Line</h3>
<p class="content-section__paragraph">The BUA scores reveal the truth: Scoop's 82/100 represents genuine business empowerment while Qlik's 47/100 and Tellius's 22/100 confirm continued IT dependency . Business users become truly autonomous, asking and answering their own questions immediately. That's not an incremental improvement—it's a fundamental shift in how organizations access their 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>Qlik Sense</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class=""><strong>BUA Score</strong></td><td class="">47/100</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>Qlik Sense</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="">Setup Requirements</td><td class="">1/8</td><td class="">2/8</td><td class="">5/8</td>
</tr>
<tr>
<td class="">Query Flexibility</td><td class="">1/8</td><td class="">2/8</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 18/20 on Autonomy versus Qlik Sense and Tellius at 0/20 (unscored). Scoop enables full multi-pass investigation through natural conversation without IT setup. Qlik Sense requires pre-built dashboards and semantic layers. Tellius needs IT configuration despite natural language features. Only Scoop delivers true self-service analytics.</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>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="">1/8</td><td class="">2/8</td><td class="">6/8</td>
</tr>
<tr>
<td class="">Multi-Pass Investigation</td><td class="">2/8</td><td class="">3/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Output Portability</td><td class="">3/8</td><td class="">3/8</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 17/20 on Flow by operating natively in Slack and Teams, while Qlik Sense and Tellius score near zero as portal-based tools requiring constant context switching. Scoop enables 3-10 query investigations without leaving your workflow, whereas competitors force you to switch applications for every data question.</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>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Natural Language Quality</td><td class="">2/8</td><td class="">5/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Business Terminology</td><td class="">1/8</td><td class="">4/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Error Clarity</td><td class="">2/8</td><td class="">3/8</td><td class="">6/8</td>
</tr>
<tr>
<td class="">Semantic Layer Dependency</td><td class="">0/8</td><td class="">2/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Learning Curve</td><td class="">1/8</td><td class="">3/8</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, vastly outperforming Qlik Sense and Tellius through conversational AI that requires no semantic layer. While Qlik forces technical field names and Tellius needs configuration, Scoop understands business questions naturally, making analytics accessible to non-technical users immediately.</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>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Automatic Visualization Selection</td><td class="">2/8</td><td class="">3/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Context-Aware Formatting</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="">4/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Export and Sharing</td><td class="">5/8</td><td class="">4/8</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 15/20 on Presentation by automatically selecting visualizations and generating explanatory narratives, while Qlik Sense and Tellius require manual chart configuration. Scoop's AI understands context to create business-ready outputs instantly, though Qlik offers more traditional export options.</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>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Direct Data Access</td><td class="">2/8</td><td class="">3/8</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 and Governance</td><td class="">3/8</td><td class="">2/8</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 layer requirements, while Qlik Sense and Tellius require extensive IT setup and data modeling. Business users can connect directly to databases with Scoop and start investigating immediately, compared to weeks of preparation needed for traditional BI platforms.</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 can save millions. Traditional BI shows you the drop on a dashboard. Investigation platforms help you find the root cause through iterative questioning—was it pricing, competition, or market conditions? This capability separates single-query tools from true analytical partners. The key metric: how many queries does it take to get from symptom to root cause?</p>
<p class="content-section__paragraph">Qlik Sense pioneered the Associative Model, letting users explore data relationships through clicking and filtering. But investigation still requires manual work. Users must know which fields to select, which charts to build, and how to interpret associations. Tellius adds machine learning to automate pattern discovery. Their 'Guided Insights' suggests next questions based on statistical analysis. However, users still navigate through a structured interface with predetermined pathways. Scoop treats investigation as conversation. Ask 'Why did sales drop?' and it automatically checks seasonality, segments, and correlations. Each answer leads naturally to the next question. No clicking through menus or building visualizations. The architectural difference is fundamental. Qlik and Tellius are visual exploration tools with some automation. Scoop is an AI analyst that conducts investigations for you. This shows in the metrics: Qlik users average 5-8 queries to reach root cause, Tellius reduces this to 3-5 with ML assistance, while Scoop typically finds answers in 1-3 conversational exchanges.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A retail operations manager notices inventory turnover dropped 20% last month. With Qlik Sense, she opens the inventory dashboard, manually filters by product category, builds a time-series chart, discovers electronics are the issue, creates another view for supplier performance, and finally identifies two suppliers with delivery delays. Time: 35 minutes. With Tellius, she uses the search bar: 'analyze inventory turnover drop.' The system suggests checking product categories and automatically highlights electronics. She clicks through guided insights to reach supplier issues. Time: 15 minutes. With Scoop, she types: 'Why did inventory turnover drop last month?' Scoop responds: 'Inventory turnover decreased 20% driven by electronics category (down 45%). Main factor: delivery delays from suppliers TechCo and GadgetWorld starting March 15th, affecting 2,300 SKUs.' She follows up: 'What's our exposure if this continues?' Time: 3 minutes.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: For true root cause analysis, architecture matters more than features. Qlik's Associative Model requires manual exploration and BI expertise. Tellius automates pattern discovery but still forces users through structured workflows. Scoop's conversational AI conducts the entire investigation automatically, reducing a 30-minute analysis to a 3-minute conversation. Business users get answers, not another tool to learn.</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 costs enterprises millions in duplicate work and stale data. The real question isn't whether platforms connect to Excel—it's whether business users can work in Excel while maintaining live data connections. Modern platforms approach this differently: some treat Excel as a second-class citizen requiring constant exports, while others embed directly into Excel's interface. Let's examine how each platform bridges this critical workflow gap.</p>
<p class="content-section__paragraph">The Excel integration battle reveals fundamental platform philosophies. Qlik Sense offers a robust Office add-in that embeds charts directly into Excel with live connections. Users can refresh data on-demand and maintain some interactivity. However, you're still bound to Qlik's expression syntax—no asking questions in plain English. Tellius takes the opposite approach: powerful AI analytics in their platform, but Excel users get static exports only. Every Monday means re-exporting, reformatting, and hoping nothing changed. Scoop bridges both worlds uniquely. Install the Excel add-in yourself (no IT required), then chat with your data directly in Excel cells. Type 'What drove the revenue spike in March?' and get answers with charts, all while maintaining your Excel formulas and formatting. The live connection means your CEO's dashboard always shows current data, not last week's export. This isn't about features—it's about respecting where business users actually work. Qlik forces you to learn their tool. Tellius makes you leave Excel entirely. Scoop brings AI analysis to where you already are.</p>
<p class="content-section__paragraph"><strong>Example</strong>: Sarah, a financial analyst, maintains the executive revenue dashboard in Excel—it's been refined over three years with custom formulas and formatting the CEO loves. With Qlik Sense, she opens the Office add-in, navigates through menus to find the right dataset, inserts charts, but can't modify the underlying query without going back to Qlik. Any new question means switching applications. With Tellius, she exports data every Monday, spends 30 minutes reformatting, and prays nobody asks about real-time numbers during Tuesday's board meeting. With Scoop, Sarah types questions directly in Excel cells: 'Show me revenue by region for last quarter.' The data appears instantly, updates automatically, and integrates with her existing VLOOKUP formulas. When the CEO asks 'Why did Southwest region spike?', she types the question and gets the answer in seconds—without leaving Excel. Total time saved: 2 hours weekly.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Excel integration isn't about checkboxes—it's about workflow reality. Qlik Sense provides solid embedding but requires learning their syntax and switching apps for complex questions. Tellius offers powerful analytics but treats Excel as an afterthought with static exports only. Scoop uniquely combines natural language AI with native Excel integration, letting business users ask questions and get live answers without leaving their spreadsheets. For organizations where Excel remains the executive reporting standard, Scoop eliminates the traditional BI-to-Excel friction 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 running one analysis then another—it's about seeing alternatives side-by-side to make informed choices. Traditional BI tools force sequential analysis, requiring users to mentally juggle results. Modern platforms should enable true parallel scenario comparison. Let's examine how Qlik Sense's associative model, Tellius's automated insights, and Scoop's conversational AI handle this critical strategic capability.</p>
<p class="content-section__paragraph">Qlik Sense approaches scenario analysis through its alternate states feature, allowing multiple selection states in one app. However, implementing this requires understanding set analysis syntax and careful dashboard design. Business users can't create new scenarios without IT help. Tellius provides guided insights that can suggest scenarios, but comparing them requires sequential analysis and manual compilation. Users run one scenario, note results, then reconfigure for the next. Scoop transforms scenario analysis through conversation. Ask 'Compare revenue if we increase prices 10% versus adding 50 new customers' and get both scenarios analyzed simultaneously. The AI understands context, tracks assumptions, and presents results side-by-side. No configuration, no syntax, no sequential workflows. This architectural difference matters because strategic decisions happen in meetings, not over weeks of analysis requests. When the board asks about growth alternatives, you need answers in minutes, not days. Scoop's conversational approach means any executive can explore scenarios during the meeting itself.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A CPO needs to present three pricing strategies at tomorrow's board meeting: 10% across-the-board increase, premium tier addition, or usage-based pricing. With Qlik Sense, she requests IT to build alternate states showing each scenario—available in 3 days. IT creates complex set analysis expressions like {<Scenario={'Price10'}>} for each metric. With Tellius, she runs each scenario separately, taking screenshots and manually creating comparison slides. Total time: 4 hours. With Scoop, she types: 'Compare revenue impact of 10% price increase vs adding premium tier at $500/month vs usage-based model.' Scoop analyzes all three simultaneously, showing revenue projections, customer impact, and churn risk side-by-side. She refines by asking 'What if churn increases 5% with the price increase?' Updated analysis appears instantly. Total time: 15 minutes.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Side-by-side scenario analysis reveals the gulf between dashboard tools and true analytical platforms. Qlik Sense requires IT setup and technical syntax for alternate states. Tellius forces sequential analysis with manual comparison. Scoop enables natural language scenario comparison that business users control entirely. For strategic planning where multiple alternatives need rapid evaluation, conversational AI eliminates the traditional complexity that turns simple questions into IT projects.</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 pricing opportunities. But finding these patterns traditionally requires data scientists writing Python code or IT teams configuring complex ML models. The real question isn't whether a platform has ML—it's whether business users can actually use it. Let's examine how Qlik Sense's augmented analytics, Tellius's automated insights, and Scoop's conversational AI handle pattern discovery when a marketing manager asks: 'What factors predict customer churn?'</p>
<p class="content-section__paragraph">Qlik Sense bundles ML through Insight Advisor and the separate AutoML platform. Users click through suggested insights but can't ask follow-up questions naturally. The AutoML add-on requires additional licensing and technical setup. Tellius excels at automated pattern discovery—their SearchIQ genuinely finds correlations and drivers without user prompting. However, users still navigate a traditional interface with dashboards and reports. Scoop treats ML as conversation. Ask 'What predicts customer churn?' and it automatically runs correlation analysis, identifies key drivers, and explains findings in plain English. No separate ML module. No configuration. The architectural difference matters: Qlik and Tellius bolt ML onto visualization platforms. Scoop embeds ML into natural dialogue. When a business user discovers that shipping delays correlate with churn, they can immediately ask 'Which customers had delays last month?' That investigation flow—from pattern to action—happens in one conversation with Scoop. In Qlik, you'd switch tools. In Tellius, you'd build a new search. The real test: Give a marketing manager 30 minutes to find churn predictors. With Scoop, they'll have actionable insights. With Qlik or Tellius, they'll still be learning the interface.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A retail operations manager notices unusual inventory patterns. With Scoop, she types: 'Find anomalies in inventory levels last quarter.' Scoop automatically detects that five stores show abnormal patterns, identifies the correlation with local events, and suggests optimal reorder points. Total interaction: one question, complete analysis. With Tellius, she'd use SearchIQ to find anomalies, then create separate queries to investigate each store, then manually correlate with external factors. Time: 45 minutes of clicking and configuring. With Qlik Sense, she'd need Insight Advisor to suggest patterns (if configured correctly), manually investigate each anomaly through drill-downs, and likely ask IT to run the correlation analysis. Time: 2-3 hours plus IT queue time. The difference isn't just speed—it's that Scoop's approach lets her think like a business person while Tellius and Qlik force her to think like an analyst.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Tellius leads in automated pattern discovery with sophisticated statistical analysis. Qlik Sense offers ML through add-ons that few business users can navigate independently. Scoop makes ML invisible—users just ask questions and get intelligent answers with patterns, predictions, and explanations built into the conversation. For business users who need insights, not algorithms, Scoop delivers ML benefits without ML complexity.</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 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 test 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 where 73% of decisions happen outside traditional BI portals.</p>
<p class="content-section__paragraph">The workflow integration gap reveals a fundamental architectural divide. Qlik Sense treats integration as connecting separate systems—their Excel add-in still requires users to understand Qlik's data model and expression syntax. You're not asking questions; you're building queries with a different interface. Tellius lacks native workflow integration entirely, forcing users to switch contexts for every question. Their mobile app is essentially a dashboard viewer, not an investigation tool. Scoop's conversational architecture means the same natural language works everywhere. Ask 'Why did sales drop?' in Excel, Slack, or mobile—you get the same analytical depth. No query builders, no simplified mobile versions. This isn't about having more integration points; it's about maintaining full analytical capability wherever users work. Traditional BI platforms built portal-first architectures, then bolted on integrations. Their mobile apps can't handle complex investigations because the underlying architecture assumes desktop usage. Scoop built conversation-first, making every integration point equally powerful. The business impact is measurable: teams using native workflow integration resolve data questions 3x faster than those switching between applications.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A regional sales director is visiting a client when she gets a text about unusual Q3 numbers. With Scoop's mobile app, she types 'Compare Q3 performance across all product lines vs last year.' Scoop returns detailed analysis with charts. She notices enterprise software is down 30% and asks 'What drove the enterprise software decline?' Scoop identifies three major deals that slipped to Q4. She shares findings directly to the sales Slack channel with one tap. The team discusses and decides to adjust Q4 forecasts. Total time: 5 minutes, all from her phone. With Qlik Sense mobile, she could only view pre-built dashboards showing the decline but not investigate why. She'd need to wait until returning to her laptop, log into Qlik, build multiple visualizations, manually identify the delayed deals, then screenshot and share to Slack. Total time: 45 minutes plus delay until laptop access.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Workflow integration isn't about feature checkboxes—it's about maintaining full analytical power wherever business happens. While Qlik Sense offers basic mobile viewing and Tellius lacks native integrations, only Scoop delivers complete investigation capability across all platforms. Business users can uncover root causes from their phone, analyze data in Excel, and share insights in Slack without losing any analytical depth. That's the difference between integration theater and true workflow enablement.</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 Tellius which require IT setup, Scoop connects directly to your data in 30 seconds.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Which is better for business users: Qlik Sense or Tellius?</h3>
<p class="content-section__paragraph">Qlik Sense scores 47/100 on business autonomy, Tellius only 22/100, while Scoop achieves 82/100. Both Qlik and Tellius require IT support for complex queries and semantic layer maintenance. Scoop eliminates these dependencies entirely. For true business user empowerment, neither traditional tool matches Scoop's natural language approach.</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 or using set analysis expressions for anomaly investigation. Users must pre-define drill paths and rely on IT for new views. Scoop automatically chains 3-10 queries to investigate anomalies, testing hypotheses like a human analyst would, without any dashboard setup.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Can Tellius do root cause analysis automatically?</h3>
<p class="content-section__paragraph">Tellius offers automated insights but scores only 2/8 on investigation capability. It generates single-pass observations, not true root cause analysis. Scoop scores 8/8, conducting multi-pass investigations that test hypotheses iteratively. Real root cause analysis requires 3-10 connected queries, which dashboard-based tools cannot perform.</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. Unlike Qlik Sense's single dashboard view or Tellius's one-shot insights, Scoop investigates like a human analyst: exploring, hypothesizing, validating. This investigation paradigm finds answers that dashboard tools structurally cannot discover.</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 true cost includes licenses, implementation, training, maintenance, consultants, and productivity loss. Organizations typically spend 3-5x the license fee on these hidden costs. Scoop eliminates implementation, training, and consultant costs entirely, reducing total cost of ownership by approximately 90% compared to traditional BI platforms.</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. Business users need to understand data models, set analysis, and expression syntax. Scoop requires zero training—if you can type a question, you can analyze data. Productivity starts immediately, not after weeks.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Do I need SQL knowledge for Tellius?</h3>
<p class="content-section__paragraph">Tellius claims no SQL required, but scores only 22/100 on business autonomy. Complex queries still need IT support or SQL knowledge. Scoop truly eliminates SQL requirements—its AI handles all query complexity automatically. Business users ask questions in plain English and get answers, no technical knowledge needed whatsoever.</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, Scoop scores 82/100 on business user autonomy. Connect to data in 30 seconds, start asking questions immediately. No semantic layer setup, no dashboard building, no SQL. Qlik Sense (47/100) and Tellius (22/100) both require significant IT involvement for setup, maintenance, and complex queries.</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 but doesn't work natively within Excel. Users must switch between applications, breaking workflow. Scoop runs directly inside Excel as a native add-in, letting users analyze data without leaving their familiar environment. This eliminates context switching and training requirements.</p>
</div>
<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 builder. Traditional BI like Qlik Sense and Tellius require pre-built views and IT support. Scoop answers any question on demand through conversation. It's the difference between having a live analyst versus looking at yesterday's report.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">What's the typical implementation time for Tellius?</h3>
<p class="content-section__paragraph">Tellius implementation typically takes 3-6 months including data modeling, semantic layer setup, dashboard creation, and user training. Many projects extend beyond initial timelines. Scoop connects in 30 seconds with no implementation phase. Business users start getting value immediately, not months later after consultants finish setup.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Is Qlik Sense easier to use than Tellius?</h3>
<p class="content-section__paragraph">Qlik Sense scores 47/100 on business autonomy versus Tellius's 22/100, making it relatively easier. However, both require significant technical knowledge for complex analysis. Scoop at 82/100 eliminates this complexity entirely. The real question isn't which traditional tool is easier, but why struggle with either?</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 processing—you ask questions like you'd ask a colleague. No query languages, no semantic layers, no dashboard design principles to learn. If you can write an email or use ChatGPT, you can use Scoop. This eliminates the weeks of training traditional BI requires.</p>
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</section>
<section class="cta-section">
<div class="cta-section__title">See Scoop in Action</div>
<div class="cta-section__subtitle">
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</div>
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</section>
