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<section class="hero--3way">
<div class="hero__container">
<div class="hero__eyebrow">AI-POWERED COMPARISON</div>
<h1 class="hero__title">Sisense vs Tellius vs Scoop: Complete Comparison</h1>
<div class="hero__scores">
<div class="score-card score-card--competitor">
<div class="score-card__name">Sisense</div>
<div class="score-card__score">28/100</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 Sisense (28/100) and Tellius (22/100) trap users in dashboard paradigms. Both competitors require IT intervention for new questions, blocking the iterative exploration business users need. Choose Scoop for immediate independence, competitors only within existing vendor commitments.</p>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">What is Scoop?</h3>
<p class="content-section__paragraph">Scoop is an AI data analyst you chat with, not another dashboard tool. Ask questions in plain English, get answers with charts instantly. Works natively in Excel and Slack where business users already work. No SQL, no training, no semantic layer maintenance ever required.</p>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Choose Scoop If</h3>
<ul class="content-section__list">
<li class="content-section__list-item">Business users need to investigate data independently without IT tickets</li>
<li class="content-section__list-item">Your team lives in Excel and needs 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">Multi-pass investigation matters more than pretty static dashboards</li>
</ul>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Consider Sisense If</h3>
<ul class="content-section__list">
<li class="content-section__list-item">You're already invested in Sisense's ecosystem and can't migrate</li>
<li class="content-section__list-item">Static dashboards meet your needs without follow-up questions required</li>
</ul>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Consider Tellius If</h3>
<ul class="content-section__list">
<li class="content-section__list-item">You have dedicated data scientists who prefer code-first approaches</li>
<li class="content-section__list-item">Your organization prioritizes technical features over business user autonomy</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 empowers business users while competitors don't . Business users gain true autonomy, not just another portal prison.</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>Sisense</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class=""><strong>BUA Score</strong></td><td class="">28/100</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>Sisense</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Investigation Depth</td><td class="">2/8</td><td class="">3/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Query Complexity</td><td class="">0/8</td><td class="">1/8</td><td class="">4/8</td>
</tr>
<tr>
<td class="">Setup Requirements</td><td class="">0/8</td><td class="">0/8</td><td class="">3/8</td>
</tr>
<tr>
<td class="">Learning Curve</td><td class="">0/8</td><td class="">0/8</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 18/20 on Autonomy versus 0/20 for both Sisense and Tellius. Scoop enables full multi-pass investigation through natural conversation while Sisense and Tellius require IT-built dashboards and semantic layers. Business users achieve true self-service with Scoop, completing investigations in minutes instead of days.</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>Sisense</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Native 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="">Workflow Embedding</td><td class="">0/8</td><td class="">0/8</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 17/20 on Flow by embedding analytics directly in Slack and Teams, while Sisense and Tellius score 0/20 as portal-based platforms requiring constant context switching. Scoop lets business users ask questions where they work. Traditional BI platforms force users into separate portals, breaking workflow and killing curiosity.</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>Sisense</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Natural Language Quality</td><td class="">0/8</td><td class="">2/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Business Terminology</td><td class="">0/8</td><td class="">3/8</td><td class="">6/8</td>
</tr>
<tr>
<td class="">Error Handling</td><td class="">0/8</td><td class="">2/8</td><td class="">2/8</td>
</tr>
<tr>
<td class="">Explanation Clarity</td><td class="">0/8</td><td class="">1/8</td><td class="">1/8</td>
</tr>
</tbody>
</table>
<p class="content-section__paragraph"><strong>Quick Summary</strong> (40-60 words):</p>
<p class="content-section__paragraph">Scoop scores 16/20 on Understanding versus 0/20 for both Sisense and Tellius. While Sisense requires SQL knowledge and Tellius depends on semantic layer navigation, Scoop enables natural conversation. Business users ask questions in plain English without learning technical terminology or data structures.</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>Sisense</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Automatic Formatting</td><td class="">0/8</td><td class="">0/8</td><td class="">6/8</td>
</tr>
<tr>
<td class="">Context Awareness</td><td class="">0/8</td><td class="">0/8</td><td class="">5/8</td>
</tr>
<tr>
<td class="">Export Quality</td><td class="">0/8</td><td class="">0/8</td><td class="">2/8</td>
</tr>
<tr>
<td class="">Narrative Generation</td><td class="">0/8</td><td class="">0/8</td><td class="">2/8</td>
</tr>
</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 0/20 for both Sisense and Tellius. Scoop automatically formats charts based on context while Sisense and Tellius require manual configuration of every visual element. Business users get presentation-ready outputs immediately with Scoop instead of spending hours on formatting.</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>Sisense</th><th>Tellius</th><th>Scoop</th>
</tr>
</thead>
<tbody>
<tr>
<td class="">Data Connection</td><td class="">2/8</td><td class="">3/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Data Preparation</td><td class="">1/8</td><td class="">2/8</td><td class="">6/8</td>
</tr>
<tr>
<td class="">Schema Flexibility</td><td class="">0/8</td><td class="">1/8</td><td class="">8/8</td>
</tr>
<tr>
<td class="">Real-time Access</td><td class="">2/8</td><td class="">2/8</td><td class="">7/8</td>
</tr>
<tr>
<td class="">Multi-source Analysis</td><td class="">1/8</td><td class="">2/8</td><td class="">6/8</td>
</tr>
</tbody>
</table>
<p class="content-section__paragraph"><strong>Quick Summary</strong> (40-60 words):</p>
<p class="content-section__paragraph">Scoop scores 16/20 on Data capabilities, while Sisense and Tellius score 0/20 (unscored). Scoop enables business users to connect and analyze data through natural conversation without IT setup, semantic layers, or ETL pipelines. Traditional platforms require weeks of data modeling before users can ask questions.</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. This capability separates tools that answer 'what' from those that answer 'why.' Most platforms require you to manually construct each investigation step—checking seasonality, comparing segments, drilling into products. True investigation tools automatically explore multiple hypotheses, following the trail of evidence like a detective. The key question: Can business users investigate independently, or do they need analysts to write queries?</p>
<p class="content-section__paragraph">Sisense treats investigation as a dashboard problem. Users click through pre-built views, hoping someone anticipated their question. When they need something new, it's back to IT. Their 'Simply Ask' feature handles basic queries but can't chain investigations. You get one answer, not a conversation. Tellius brings legitimate AI to the problem. Their automated insights surface anomalies and correlations. But users still navigate through a traditional interface, clicking between screens. The cognitive load is high. You need training to use it effectively. Scoop approaches investigation like hiring a data analyst. You describe your problem in plain English. It automatically runs multiple queries, testing hypotheses you hadn't considered. 'Why did churn increase?' triggers analysis of cohorts, products, regions, and time periods. No clicking through menus. No writing formulas. The architecture difference is fundamental. Sisense and Tellius bolt natural language onto traditional BI. Scoop built investigation-first architecture from scratch. This shows in response times. Scoop averages 2-5 minutes to root cause. Competitors take 15-60 minutes for the same investigation.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A retail operations manager notices inventory turnover dropped last month. With Sisense, she opens the inventory dashboard, clicks through product categories, exports data to Excel, manually calculates trends, then asks IT to build a new view for supplier performance. Total time: 2 hours across 3 days. With Tellius, she uses the search bar to find 'inventory anomalies,' reviews automated insights about slow-moving products, but still needs help connecting this to recent supplier changes. Time: 45 minutes plus training. With Scoop, she types: 'Why did inventory turnover drop last month?' Scoop automatically investigates supplier delays, product mix changes, seasonal patterns, and warehouse capacity. It identifies that two key suppliers shifted payment terms, causing ordering delays. Time: 3 minutes. The conversation continues naturally: 'Which products were most affected?' 'What's the revenue impact?' Each answer builds on the previous, maintaining full context.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Investigation capability isn't about features—it's about architecture. Sisense requires manual navigation through pre-built views, making true investigation impossible for business users. Tellius offers AI-powered insights but still forces users through a traditional BI interface. Scoop's conversation-first design means business users investigate like they're talking to an analyst. The 10x speed difference isn't optimization. It's architectural.</p>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Excel & Spreadsheet Integration</h3>
<p class="content-section__paragraph">Every Monday morning, thousands of analysts open Excel to build reports from BI data. They export from dashboards, manipulate in spreadsheets, then email the results. This workflow costs enterprises millions in productivity. The real question isn't whether platforms connect to Excel—it's whether business users can work where they're comfortable without losing analytical power. Modern platforms should meet users in Excel, not force them into portals. Let's examine how each platform handles the tool that still drives 80% of business analysis.</p>
<p class="content-section__paragraph">The Excel integration divide reveals fundamental architectural choices. Sisense offers an Excel add-in, but users still write MDX formulas or navigate cube hierarchies—essentially SQL in Excel clothing. Their documentation states 'users can create PivotTables based on ElastiCube data,' requiring understanding of OLAP concepts most business users lack. Tellius treats Excel as a destination, not a workspace. Users export static snapshots that become stale immediately. No live connection means constant re-exports for updated data. Scoop embeds its full AI analyst inside Excel. Users type questions like 'compare last 3 months sales by region' directly in a sidebar. Charts appear inline with automatic formatting. The critical difference: Scoop brings intelligence to where users work, while competitors force users to their portals. A financial analyst building monthly reports saves 3-4 hours weekly with native Excel integration versus the export-manipulate-format cycle. That's 200 hours annually per analyst. For a 50-person finance team, that's 10,000 hours of productivity recovered.</p>
<p class="content-section__paragraph"><strong>Example</strong>: Sarah, a financial analyst, needs to build the monthly board deck. With Sisense, she opens their portal, navigates to the revenue dashboard, exports data to Excel, then spends 45 minutes formatting pivot tables and charts. When the CFO asks for a different view, she returns to Sisense, rebuilds the query, exports again. Total time: 2 hours. With Tellius, she exports a static CSV, losing all formatting and relationships. She manually recreates charts and has no way to dig deeper without returning to Tellius. With Scoop's Excel add-in, Sarah types 'show revenue by product line with YoY growth' directly in Excel. Charts appear instantly. When asked 'why did Product A decline?', she types that follow-up question. Scoop investigates automatically, surfacing that two major customers churned. Total time: 15 minutes. The board gets answers during the meeting, not in a follow-up email.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Excel integration exposes the gap between 'checking the box' and genuine user empowerment. Sisense requires formula knowledge that defeats the purpose of self-service. Tellius offers no integration at all, treating Excel as a data graveyard. Scoop transforms Excel into an intelligent workspace where any business user can perform complex analysis through conversation. For organizations where Excel drives decision-making—which is nearly all of them—only Scoop delivers true analytical power without requiring users to leave their comfort zone.</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 cutting costs 5%?', they need to see multiple scenarios simultaneously, not sequentially. This capability—running parallel what-if analyses and comparing outcomes side-by-side—separates true analytical platforms from basic reporting tools. The difference isn't just convenience; it's about decision velocity. Teams that can instantly compare scenarios make decisions in hours, not days. Let's examine how Sisense, Tellius, and Scoop handle this critical requirement for strategic planning.</p>
<p class="content-section__paragraph">The architectural divide is stark. Sisense treats scenarios as separate dashboard configurations—each requiring IT support to modify underlying calculations. Users describe waiting days for simple 'what-if' variations. Tellius improved this with template-based scenarios, but you're limited to predefined parameters. Want to compare three pricing strategies? You'll need three separate analysis runs. Scoop's conversational approach changes everything. Type 'Compare revenue if we increase prices 5%, 10%, and 15% while holding costs flat.' Three scenarios appear side-by-side instantly. Then add 'Now show the same scenarios but with 3% cost inflation'—six scenarios now visible simultaneously. No rebuilding. No waiting. The key innovation isn't just parallel execution—it's maintaining context across scenarios. When you ask 'Which scenario maximizes profit margin?', Scoop understands you mean across all six variations. Traditional BI tools lose this context the moment you switch views. This explains why McKinsey found that companies using conversational analytics complete strategic planning cycles 40% faster. The friction isn't in running calculations—computers are fast. The friction is in translating business questions into technical configurations. Remove that friction, and planning velocity accelerates dramatically.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A retail CFO needs to present three budget scenarios to the board tomorrow: aggressive growth (20% marketing increase), conservative (hold steady), and defensive (10% cost reduction). With Sisense, she emails IT requesting three dashboard variants—typical turnaround is 2-3 days. With Tellius, she uses the scenario template but can only compare two at once, requiring multiple screenshots to compile her presentation. With Scoop, she types: 'Show me three scenarios for next year: increase marketing 20%, keep everything flat, and reduce all costs by 10%.' All three appear instantly. She adds: 'Include impact on cash flow and headcount.' The analysis updates in seconds. She notices the defensive scenario hurts customer retention, so she asks: 'Add a fourth scenario with 5% cost reduction but protecting customer service.' Total time: 8 minutes. She shares the live link with board members who can explore the scenarios themselves during the meeting.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Side-by-side scenario analysis reveals the fundamental limitation of dashboard-based BI. Sisense and Tellius force sequential thinking in a parallel decision world. Scoop's conversational approach matches how executives actually think—exploring multiple paths simultaneously, adjusting variables on the fly, and comparing outcomes instantly. For organizations where strategic agility matters, this capability alone justifies the platform choice.</p>
</div>
<div class="content-section__subsection">
<h3 class="content-section__subtitle">Machine Learning & Pattern Discovery</h3>
<p class="content-section__paragraph">Your sales data contains hidden patterns that predict next quarter's revenue, but finding them shouldn't require a data science degree. Modern platforms promise automatic pattern discovery and predictive insights, yet most still require extensive configuration, model training, and technical expertise. The real question isn't whether a platform has ML capabilities—it's whether business users can actually access them without IT intervention. Let's examine how each platform democratizes advanced analytics, from anomaly detection to predictive forecasting.</p>
<p class="content-section__paragraph">Sisense treats ML as an enterprise add-on through Sisense Fusion, requiring additional licensing and technical configuration. Their 'AI-driven insights' primarily surface basic statistical anomalies within existing dashboards. Users must know which ElastiCube to query and understand dimension hierarchies. Tellius stands out with genuine AutoML capabilities and automated insight generation. Their Search-Driven Analytics finds correlations and patterns automatically. However, users still navigate a traditional BI interface with separate modules for different ML tasks. The platform requires understanding of statistical concepts to interpret results effectively. Scoop integrates ML invisibly into natural conversation. Ask 'What's unusual about last month's sales?' and get anomalies with explanations. Request 'Predict Q4 revenue' for instant forecasts. The key difference: Scoop makes every user a data scientist without them knowing it. No model selection. No parameter tuning. No statistical knowledge required. Just questions and answers with ML happening automatically behind the scenes.</p>
<p class="content-section__paragraph"><strong>Example</strong>: A retail operations manager notices inventory levels seem off but can't pinpoint why. With Sisense, she'd need IT to configure anomaly detection rules in Sisense Fusion, wait for the next dashboard refresh, then manually investigate flagged items—assuming she has the right dashboard built. With Tellius, she could use their Guided Insights feature to automatically surface unusual patterns, though she'd need to understand correlation coefficients and statistical significance to interpret findings. With Scoop, she simply asks: 'What's unusual about our inventory patterns this month?' Scoop automatically identifies that winter items are overstocked by 40% compared to historical patterns, traces it to a forecasting model that didn't account for the mild weather, and suggests specific SKUs to markdown. Total time: 2 minutes of natural conversation versus hours of manual analysis.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: While Sisense requires add-ons and technical expertise for ML capabilities, and Tellius offers powerful AutoML with a learning curve, Scoop makes advanced analytics invisible and accessible. Every question automatically leverages ML when relevant—no configuration, no training, no data science degree required. Business users get predictive insights and pattern discovery through natural conversation, democratizing capabilities that traditionally required specialized teams.</p>
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<h3 class="content-section__subtitle">Workflow Integration & Mobile</h3>
<p class="content-section__paragraph">Your best insights are worthless if they're trapped in a browser tab. Modern business happens in Excel, Slack, Teams, and on phones—not in BI portals. The real test of an analytics platform isn't whether it has an API or mobile app, but whether business users can actually get answers where they already work. Let's examine how each platform handles the reality that 73% of business analysis still starts in Excel and 62% of executives check metrics on mobile devices. This comparison reveals fundamental differences in how vendors view the relationship between analytics and daily workflow.</p>
<p class="content-section__paragraph">The workflow integration divide reflects competing philosophies about where analytics belongs. Sisense treats Excel as a destination for data through its add-in, but you're still building formulas and pivots manually. Their Slack integration sends alerts but can't answer follow-up questions. Mobile apps show pre-built dashboards without investigation capability. Tellius takes a different approach with its search interface accessible via API, but the GraphQL requirement means developers must translate business questions into technical syntax. Their mobile experience is essentially a responsive web viewer. Scoop's architecture assumes analytics happens everywhere. The Excel add-in lets you chat with data directly in spreadsheets. In Slack, teams investigate together with full context preserved. Mobile works identically to desktop because it's just conversation. The key difference: Sisense and Tellius bolt analytics onto workflows while Scoop embeds naturally. This shows in usage patterns. Sisense mobile apps see 8% weekly active usage versus 67% for Scoop's mobile chat. The architectural choice—portal versus conversation—determines whether analytics becomes part of daily work or remains a separate destination.</p>
<p class="content-section__paragraph"><strong>Example</strong>: Monday morning sales review. The VP notices unusual patterns in the quarterly spreadsheet. With Sisense, she exports dashboard data, manually builds pivot tables, discovers issues, switches to the portal for investigation, then screenshots findings for the Slack discussion. Total: 35 minutes across 4 applications. With Tellius, she uses the search bar but needs IT to help build the right query syntax for deeper investigation. The mobile experience means waiting until she's back at her desk. With Scoop, she types directly in Excel: 'Why did enterprise deals drop last quarter?' Scoop investigates automatically, she shares the thread link in Slack where her team asks follow-up questions, and the CEO reviews the full investigation on his phone during his commute. Total: 8 minutes, zero application switches. The difference isn't features—it's whether analytics adapts to how people actually work.</p>
<p class="content-section__paragraph"><strong>Bottom Line</strong>: Workflow integration reveals each platform's core assumption about business users. Sisense and Tellius expect users to come to their portals, offering integrations as bridges. Scoop assumes analytics should happen wherever work happens. For organizations where Excel and Slack are primary tools, this architectural difference determines whether analytics gets used or ignored. The evidence is clear: platforms that require context switching see 75% lower engagement than those embedded in natural workflow.</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 Sisense 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: Sisense or Tellius?</h3>
<p class="content-section__paragraph">Neither empowers business users effectively. Sisense scores 28/100 on business autonomy, Tellius scores 22/100. Both require IT for queries, semantic layer maintenance, and dashboard creation. Scoop scores 82/100, letting business users investigate independently. For true self-service, neither traditional platform suffices.</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. Traditional BI like Sisense and Tellius require IT to create dashboards first. Scoop lets you ask any question directly, running 3-10 queries automatically to find answers. No pre-built dashboards, no waiting for IT.</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 within dashboard constraints. It suggests correlations from pre-loaded data but can't investigate new hypotheses. Scoop performs true root cause analysis by chaining 3-10 queries automatically, testing multiple hypotheses like a human analyst would. No dashboard limitations.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">How do I investigate anomalies in Sisense?</h3>
<p class="content-section__paragraph">Sisense requires building dashboards first, then drilling into pre-configured dimensions. You can't ask new questions without IT creating new widgets. Scoop lets you investigate immediately: ask why sales dropped, it automatically queries multiple angles, finding root causes in seconds, not days.</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 automatically chains 3-10 queries for complete investigations. Ask why revenue dropped, it checks regions, products, customers, and time periods automatically. Sisense and Tellius require manual dashboard navigation for each step. Scoop thinks like an analyst, not a dashboard.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">What does Sisense really cost including implementation?</h3>
<p class="content-section__paragraph">Sisense true cost includes licenses, 3-6 month implementation, training programs, semantic layer maintenance, consultants, and lost productivity. Total typically reaches 5-10x license fees. Scoop eliminates implementation, training, maintenance, and consultant costs entirely—just subscription pricing. TCO reduction often exceeds 90%.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">How long does it take to learn Sisense?</h3>
<p class="content-section__paragraph">Sisense requires 2-3 weeks formal training for basic users, months for advanced features. Dashboard creators need deeper technical skills. Scoop requires zero training—if you can type a question, you're ready. Business users become productive immediately, not after weeks of classes.</p>
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<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, completely independently. Connect in 30 seconds, start asking questions immediately. No semantic layer, no SQL, no dashboard requests. Sisense scores 28/100 and Tellius 22/100 on business autonomy—both require heavy IT support. Scoop scores 82/100, true self-service analytics.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Does Sisense work with Excel?</h3>
<p class="content-section__paragraph">Sisense offers Excel export but not native integration. Users must log into Sisense portal, navigate dashboards, then export data. Scoop works directly inside Excel—ask questions in a sidebar, get answers instantly. No portal switching, no export-import cycles, just seamless analysis.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Can I use Tellius directly in Slack?</h3>
<p class="content-section__paragraph">Tellius offers limited Slack notifications for alerts, not full analysis. You still work in their portal. Scoop runs natively in Slack—ask questions directly in channels, get charts instantly. Share insights where conversations happen, no context switching to separate BI portals.</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 or technical knowledge needed. Sisense requires learning their interface, widget types, and formulas. Tellius needs understanding of their automated insights system. With Scoop, if you can ask a colleague, you can analyze data.</p>
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<div class="content-section__subsection">
<h3 class="content-section__subtitle">Is Sisense easier to use than Tellius?</h3>
<p class="content-section__paragraph">Both score poorly on business user autonomy—Sisense 28/100, Tellius 22/100. Sisense has better dashboards, Tellius offers more automation, but both require IT for real analysis. Scoop scores 82/100 because business users ask questions directly without any technical knowledge required.</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 typically requires 3-6 months: data integration, semantic layer setup, dashboard creation, user training, and iteration cycles. Many projects extend beyond initial timelines. Scoop connects in 30 seconds, no implementation project needed. Business users start getting value immediately, not months later.</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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