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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

AutoDiscovery is a sophisticated software designed for automated exploratory data analysis, aimed at assisting biomedical researchers in revealing intricate relationships concealed within the datasets of scientific studies and clinical trials. This innovative tool independently determines the appropriate statistical methods required to evaluate the relationships among every combination of variables across various subsets of the data. Key requirements in biomedical research, such as cause-effect potential, false discovery rates, management of small and complex datasets, treatment groups, and result traceability, are specifically addressed by AutoDiscovery. The software is particularly beneficial for Principal Investigators who have minimal time to dedicate to data analysis and possess limited statistical expertise, thereby enabling them to concentrate on productive and impactful research endeavors. By streamlining the analysis process, AutoDiscovery empowers researchers to uncover insights that might otherwise remain hidden, ultimately enhancing the quality of scientific inquiry.

Description

Doolytic is at the forefront of big data discovery, integrating data exploration, advanced analytics, and the vast potential of big data. The company is empowering skilled BI users to participate in a transformative movement toward self-service big data exploration, uncovering the inherent data scientist within everyone. As an enterprise software solution, doolytic offers native discovery capabilities specifically designed for big data environments. Built on cutting-edge, scalable, open-source technologies, doolytic ensures lightning-fast performance, managing billions of records and petabytes of information seamlessly. It handles structured, unstructured, and real-time data from diverse sources, providing sophisticated query capabilities tailored for expert users while integrating with R for advanced analytics and predictive modeling. Users can effortlessly search, analyze, and visualize data from any format and source in real-time, thanks to the flexible architecture of Elastic. By harnessing the capabilities of Hadoop data lakes, doolytic eliminates latency and concurrency challenges, addressing common BI issues and facilitating big data discovery without cumbersome or inefficient alternatives. With doolytic, organizations can truly unlock the full potential of their data assets.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Spark
Cloudera
Cloudera Data Platform
Elastic Cloud
Facebook
Hadoop
Qlik Cloud Analytics
Qlik Sense

Integrations

Apache Spark
Cloudera
Cloudera Data Platform
Elastic Cloud
Facebook
Hadoop
Qlik Cloud Analytics
Qlik Sense

Pricing Details

€1.795 per year
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Butler Scientifics

Founded

2014

Country

Spain

Website

www.butlerscientifics.com

Vendor Details

Company Name

doolytic

Founded

2015

Country

Italy

Website

doolytic.com

Product Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Product Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

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