Daisho - No-Code Data Science for Business Users
Daisho is a no-code data science platform that empowers business users to generate insights from their data quickly and effortlessly. With pre-built workflows and automatic hypothesis generation, Daisho simplifies data analysis and enhances decision-making for businesses.
Daisho Product Information
What is Daisho?
Daisho is designed to cater to the diverse needs of business users, offering powerful analytical capabilities without the complexity of coding or mathematics. By providing free-flow analysis on any data and pre-built workflows, Daisho streamlines the process of uncovering actionable insights for various business challenges.
How to Use Daisho?
To become a data science superhero with Daisho, simply select the problem you want to solve and point at the data. The platform takes care of the rest, automatically building and testing hypotheses, filtering the most powerful ones, and generating predictive models using curated algorithms. Users can then leverage the surfaced insights for informed business actions.
Core Features of Daisho
- Automatic Hypothesis Generation and Filtering
- Pre-built Workflows
- Predictive Modeling using Curated Algorithms
- Free-flow Analysis on Any Data
Use Cases of Daisho
- Network Fault Prediction
- Collections Prioritization
- Early Warning Systems (CPG)
- Automated Ticket Analysis and Diagnosis (IT)
- Impact of Logistics on Customer Churn
- Sales Drivers Analysis
FAQ about Daisho
What types of data can be analyzed with Daisho?
Daisho supports the analysis of tabular data sets, similar to Excel format, containing answers to the questions related to the business problem.
Can Daisho handle highly specialized or unique business challenges?
While Daisho offers pre-built workflows for common problems, there may be limitations in addressing highly specialized or unique business challenges through the platform.
Is coding or mathematical expertise required to use Daisho?
No, Daisho is specifically designed for business users and does not require any coding or mathematical expertise to generate insights from data.
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