Daloopa vs. Canalyst
When accuracy, depth, and speed are critical, especially during earnings season, analysts need tools they can trust. Unlike Canalyst, Daloopa harnesses AI to deliver the most comprehensive and precise fundamental data—faster than any manual process—seamlessly integrated into your existing workflow. Migrating is effortless, so you can maintain momentum without missing a step. For a full demo – just click on the play button on the video.
How does Daloopa Compare?
| Feature | Daloopa | Canalyst | Explanation |
|---|---|---|---|
| Preserves Existing Models | ✅ | ✅ | Both platforms allow users to preserve and update existing customized models within Excel. |
| Focus on AI and Automation | ✅ | ❌ | Daloopa emphasizes AI-powered data extraction and delivery automation, reducing manual entry and allowing data to be delivered into any format. |
| Speed up Ramping | ✅ | ✅ | Canalyst provide pre-built models for faster ramping, while Daloopa provides highly detailed unstructured data sheets created by AI to eliminate manual work and helps new analysts get to differentiated insights faster. |
| Pre-built Models | ❌ | ✅ | Canalyst provides pre-built financial models with estimates and formulas, while Daloopa provides comprehensive data sheets for analysts' use in their own format. |
| Large internal analyst team | ❌ | ✅ | Canalyst has a large internal team for model creation, while Daloopa relies on AI for data extraction and delivery. |
| Clean, Consistent, Reliable Data | ✅ | ✅ | Both platforms emphasize providing clean and consistent data. |
| Auditability with Links to Sources | ✅ | ❌ | Daloopa provides direct links to original data sources on every single datapoint, ensuring high transparency and auditability. |
| Automated Model Updates | ✅ | ✅ | Both offer automated updates within Excel, streamlining the model updating process. |
| Real-time Data Updates | ✅ | ❌ | Daloopa offers near real-time updates, with key data delivered within minutes of press release and all data updated within 90 minutes. |
| Custom Dashboards/Industry KPIs | ✅ | ✅ | Both platforms provide custom dashboards for specific industries and KPIs. |
| Prepopulated Data Sheets | ✅ | ❌ | Daloopa offers downloadable data sheets, ensuring smooth ramping and earnings season turnaround. |
| Global Company Coverage | ✅ | ✅ | While both offer coverage of around ~4,000 companies, Daloopa covers a broader range of international companies, including non-English reports. |
Both platforms allow users to preserve and update existing customized models within Excel.
Daloopa emphasizes AI-powered data extraction and delivery automation, reducing manual entry and allowing data to be delivered into any format.
Canalyst provides pre-built models for faster ramping, while Daloopa provides highly detailed unstructured data sheets created by AI to eliminate manual work and helps new analysts get to differentiated insights faster.
Canalyst provides pre-built financial models with estimates and formulas, while Daloopa provides comprehensive data sheets for analysts’ use in their own format.
Canalyst has a large internal team for model creation, while Daloopa relies on AI for data extraction and delivery.
Both platforms emphasize providing clean and consistent data.
Daloopa provides direct links to original data sources on every single datapoint, ensuring high transparency and auditability.
Both offer automated updates within Excel, streamlining the model-updating process.
Daloopa offers near real-time updates, with key data delivered within minutes of press release and all data updated within 90 minutes.
Both platforms provide custom dashboards for specific industries and KPIs.
Daloopa offers downloadable data sheets, ensuring smooth ramping and earnings season turnaround.
While both offer coverage of around ~4,000 companies, Daloopa covers a broader range of international companies, including non-English reports.
Curious about the best financial data platform for your needs? Canalyst delivers ready-to-use models, while Daloopa automates data extraction with AI for greater flexibility and speed. Discover how both platforms compare and which one can give you the edge in financial analysis.
Migrating from Canalyst to Daloopa is easy
Use your time better during earnings season and focus on your priorities. Quickly identify changes in KPIs, Guidance, and non-GAAP adjustments. Here are the reasons to migrate to Daloopa.
- Ensure accuracy – Daloopa Retrofitter will spot all errors in existing models to ensure 100% confidence in the data
- Introduce auditability – Every single data point is overlayed with auditable hyperlinks giving you an easy way to verify and gain context around any number
- Enable faster updates – Powered with AI, users can start using Daloopa to update their model minutes after the print compared to having to wait for a team of human analysts to update their model and check for errors
