Discover What’s Hiding in Your Data
Bring your data to life with AI-analysis—start your free trial of Scoop.
Change Detection
Know Exactly What Changed
Automatic before-vs-after analysis for any metric or event — down to the last hidden driver.
Analyze Your ChangesLast Week
Normal
→
This Week
Changed
The Executive Update Scramble
📊 Metrics Changed, But Why?
Your dashboards show what happened but can't explain why. Revenue dropped 15%, but which factors drove it?
🔍 Hidden Process Changes
A VP tweaked the sales process, marketing launched a new campaign, or product shipped a feature. BI can't connect the dots.
⏰ QBR Fire Drill
Executive review is tomorrow. You're manually comparing dozens of reports trying to craft a coherent narrative.
Why BI Dashboards Can't Keep Up
| Capability | Traditional BI "Change" Hunt | Scoop Period Analysis |
|---|---|---|
| Analysis Method | Manual side-by-side dashboards | Automated multivariate comparison across every column |
| What It Finds | Limited to pre-built metrics only | Surfaces new, untracked attributes driving deviation |
| Complex Interactions | Ignores Geography × Plan × Channel | Tree exposes compound drivers with quantified impact |
| Time to Insight | Hours to prep slides for exec review | Presentation-ready narrative in seconds |
| Confidence Level | Guesswork on what's significant | Statistical certainty - know when nothing changed |
How Scoop Detects Every Change
1
Define Periods
Pick any date field and time windows - this week vs last, this month vs same month last year, or custom ranges.
2
Full Delta Scan
ML analyzes every variable simultaneously, finding compound effects and emergent patterns others miss.
3
Clear Explanations
Get presentation-ready narratives, visual decision trees, and change driver scores for monitoring.
Business-Critical Questions Answered Instantly
💼
Sales Operations
"Why did opportunity velocity slow this quarter?"
New approval step + Opportunities >$50k identified as bottleneck. Process revised immediately.
📈
Marketing
"Campaign CPL spiked — what's driving the cost?"
Increase isolated to Facebook lookalike audiences in APAC. Budget shifted to performing channels.
🚀
Product Growth
"Feature engagement dipped — bug or behavior?"
Drop isolated to Mobile iOS v4.2. Release regression identified and hotfix deployed.
👔
Executive Reporting
"Nothing seems off, but are we sure?"
Model confirms: No statistically significant pattern. Report confidence to stakeholders.
From Question to Executive-Ready Answer in 5 Clicks
Time: ~2 minutes. No SQL, no manual diff reports.
1
Select dataset & date field
2
Set current & baseline windows
3
Choose features (optional)
4
Click "Explain Change"
5
Review & share narrative
Why Business Leaders Love Period Analysis
⚡
Instant Awareness
Detect and explain material shifts before the monthly KPI deck. Stay ahead of the narrative.
🎯
Signal Over Noise
Cut through random fluctuation. Only highlights statistically significant changes that matter.
✅
Confidence in "No Change"
When nothing significant happened, state it with data-science certainty. No more second-guessing.
"Your always-on forensic analyst — scanning every metric to tell you precisely what changed, weeks before traditional BI would even hint at it."
Never Scramble for Explanations Again
Turn "what happened?" into "here's exactly what changed and why"
in minutes, not hours of manual analysis.