Which marketing channels are driving the highest ROI this quarter?
Let me analyze your marketing data to find the best performing channels...
+15.8%
712,890
Total Impressions
+13.2%
3,567
Total Clicks
-18.7%
~26
Avg Position
+4.3%
5.1%
Click-Through Rate
Daily Click Performance
Daily Impression Performance
Datapad
vs.
Sisense
Move beyond complex BI platforms. While Sisense requires technical teams to build ElastiCubes and model data, Datapad's AI creates actionable campaigns and strategies instantly.
Start Your AI Analytics Book a 15m Demo
- Upload Your File
- Ask a Question
- Get Insights
Your browser doesn't support HTML video. Here is a link to the video instead.
Powering the world's best teams. From next-gen startups to top-tier universities.
Proudly Serving the World
We're proud to serve the world's largest companies and organizations.
30,000+
Active Users
2 Million
Excel Files Crunched
100k Hours
Saved by Users
< 1 Minute
Avg. Time to Build a Dashboard
HOW IT COMPARES
Datapad delivers AI-powered business intelligence, Sisense offers traditional bi platform requiring complex data modeling and technical setup.
Features
| Feature | Datapad | Sisense |
|---|---|---|
| Natural language queries | Advanced conversational AI that understands business context and generates insights | Basic natural language interface with limited understanding |
| Data source connections | 50+ integrations with automated setup and data blending | Many connectors but requires complex ElastiCube modeling and setup |
| AI-powered insights | Proactive AI analyst that discovers trends and generates business recommendations | Basic AI features but requires manual analysis and interpretation |
| Campaign generation | Creates actionable marketing campaigns and business strategies from data | Dashboard and reporting focus only, no actionable campaign creation |
| Easy dashboard creation | AI automatically generates dashboards from natural language questions | Powerful dashboards but require ElastiCube setup and technical knowledge |
| Team collaboration | Built-in team workspaces with instant sharing and collaborative analysis | Collaboration features available but complex permission management required |
| Automated reporting | AI-powered scheduled reports with insights and actionable recommendations | Scheduled reporting available but without AI-generated insights |
| No-code setup | Connect and start analyzing immediately with natural language | Requires ElastiCube modeling, data preparation, and technical setup |
| Real-time monitoring | Proactive anomaly detection with automated business recommendations | Real-time capabilities but require manual threshold setup and monitoring |
Popular Use Cases
From correlation analysis to sentiment tracking, discover how teams use AI to transform their data into actionable insights.
Interactive Dashboards
Deliver interactive dashboards for self-service business intelligence and real-time KPI insights
Learn more
Exploratory analysis
Run exploratory data analysis to surface hidden trends, anomalies, and customer behavior signals
Learn more
Data Cleaning
Automate Excel data cleaning to normalize fields, remove duplicates, detect outliers, and prepare datasets for modeling
Learn more
Data Science & Analysis
Orchestrate data science workflows with predictive analytics, feature engineering, and data storytelling
Learn more
KPI tracking
Monitor mission-critical KPIs, KRAs with automated dashboards, benchmarking alerts, and performance intelligence
Learn more
Scientific Research
Process clinical research, medical, scientific, financial datasets with compliant analytics for evidence-based insights and publication-ready visuals
Learn more
AI Agent With Data Super-Powers
Connect any data source with a simple prompt and watch our AI dive deep into your numbers. Get sophisticated SQL analysis, predictive models, and data insights that would take data scientists weeks to uncover - all from natural language questions about your business.
Ask Anything, Get Insights
Ask any business question in plain English. Get sophisticated statistical analysis, trend identification, and data-driven insights that reveal hidden patterns in your business metrics across any dataset.
Blend Any Data Source
Connect databases, CRMs, financial systems, and any data source with drag-and-drop simplicity. Watch your fragmented data transform into unified, comprehensive insights in real-time.
# Identifying waste and opportunities
import pandas as pd
import numpy as np
# Find high-waste keywords (high cost, low CVR)
waste_keywords = df[
(df['total_cost'] > 500) &
(df['cvr'] < 1.5)
].sort_values('total_cost', ascending=False)
print(f"💰 Wasting ${waste_keywords['total_cost'].sum():,.0f}/month")
print(f"🎯 Found {len(waste_keywords)} problem keywords")
Hear what our customers are saying
Discover how teams use Datapad to talk to their data like a human analyst, get instant insights, and create actionable deliverables that drive real results.
Customer Testimonials
Sarah Chen
@sarah_data
"Datapad has completely transformed how I analyze our customer data. Instead of spending hours writing complex SQL queries, I can just ask questions in plain English and get instant insights with beautiful visualizations. Our data team's productivity has increased 5x!"
David Kim
@david_bi
"The integrations are seamless! We connect all our data sources - Google Analytics, Salesforce, Facebook Ads, and our warehouse - and Datapad blends everything automatically. What used to take days of manual ETL work now happens in minutes."
Amanda Foster
@amanda_ops
"The anomaly detection is incredible. Datapad sends us daily alerts about unusual patterns in our sales data, and even suggests root causes and solutions. We've caught revenue-impacting issues before they became problems."
Mike Rodriguez
@mike_analytics
"The collaboration features are incredible. My marketing team can now ask questions about sales data in real-time during meetings, and Datapad instantly generates custom dashboards. No more waiting for IT to create reports - we get answers immediately with the full context we need."
Rachel Martinez
@rachel_growth
"Datapad doesn't just show you data - it creates the actual deliverables! It generated our complete SEO strategy with keyword targeting, ad optimization to-do lists, and even wrote our blog posts. Copy-paste ready content that actually drives results."
Carlos Mendoza
@carlos_data
"Text2SQL has been a revelation. I can ask complex questions like 'Show me customer LTV by acquisition channel for the past 6 months' and get perfectly optimized queries that run instantly. No more debugging SQL syntax!"
Lisa Thompson
@lisa_marketing
"Datapad's AI assistant is like having a senior data analyst on speed dial. It understands our business context and creates actionable insights, not just generic charts. Game-changer for our marketing optimization!"
James Wilson
@james_ceo
"As a startup founder, I couldn't afford a full data team. Datapad scales our analytics capabilities at a fraction of the cost. We get enterprise-level insights and automated reports that keep everyone aligned on our KPIs."
Emma Johnson
@emma_strategy
"Datapad's memory layer learns from our conversations and improves over time. It remembers our business context, preferred metrics, and even our team's terminology. It's like having an AI analyst who's been with us for years."
Sisense vs Datapad: Common Questions
How is Datapad different from Sisense?
While Sisense focuses on complex data modeling and traditional BI dashboards, Datapad is an AI-first platform that creates actionable campaigns and strategies. Sisense shows you what happened, Datapad creates what you should do next.
Do I need technical expertise for Datapad vs Sisense?
Datapad requires no technical skills - just natural language questions. Sisense requires data modeling expertise, ElastiCube management, and complex setup procedures that typically need IT involvement.
Can Datapad replace our Sisense implementation?
Yes! Datapad connects to the same data sources as Sisense but eliminates the need for complex data cubes and modeling. Plus, you get AI-powered insights and campaign generation that Sisense doesn't offer.
What about handling large datasets?
Datapad handles enterprise-scale data efficiently through cloud-native architecture, while Sisense relies on ElastiCubes that require ongoing maintenance and optimization. Datapad's AI also automatically optimizes queries.
How does the implementation time compare?
Datapad can be set up in minutes with one-click integrations. Sisense typically requires weeks or months for proper ElastiCube setup, data modeling, and dashboard creation.
What about total cost of ownership?
Datapad's transparent pricing is often significantly lower than Sisense when you factor in implementation costs, ongoing maintenance, training, and the need for technical resources to manage ElastiCubes.
Ready to Turn Your Data Into Action?
Join thousands of teams who've replaced expensive data analysts with Datapad's AI. Get actionable insights and ready-to-deploy campaigns in seconds, not weeks.