Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
At Datametica, our innovative solutions significantly reduce risks and alleviate costs, time, frustration, and anxiety throughout the data warehouse migration process to the cloud. We facilitate the transition of your current data warehouse, data lake, ETL, and enterprise business intelligence systems to your preferred cloud environment through our automated product suite. Our approach involves crafting a comprehensive migration strategy that includes workload discovery, assessment, planning, and cloud optimization. With our Eagle tool, we provide insights from the initial discovery and assessment phases of your existing data warehouse to the development of a tailored migration strategy, detailing what data needs to be moved, the optimal sequence for migration, and the anticipated timelines and expenses. This thorough overview of workloads and planning not only minimizes migration risks but also ensures that business operations remain unaffected during the transition. Furthermore, our commitment to a seamless migration process helps organizations embrace cloud technologies with confidence and clarity.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
No
Google Cloud Platform
No
Hadoop
No
IBM Netezza Performance Server
No
Microsoft Azure
No
Snowflake
No
Integrations
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
Hadoop
Yes
IBM Netezza Performance Server
Yes
Microsoft Azure
Yes
Snowflake
Yes
Pricing Details
€1.795 per year
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Butler Scientifics
Founded
2014
Country
Spain
Website
www.butlerscientifics.com
Vendor Details
Company Name
Datametica
Founded
2013
Country
India
Website
www.datametica.com
Product Features
Data Discovery
Contextual Search
No
Data Classification
No
Data Matching
Yes
False Positives Reduction
Yes
Self Service Data Preparation
Yes
Sensitive Data Identification
Yes
Visual Analytics
Yes
Product Features
Data Discovery
Contextual Search
No
Data Classification
No
Data Matching
No
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
No
Visual Analytics
No
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
No