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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Axtria DataMAx™ stands out as a cutting-edge, global cloud-based platform designed for the management of commercial Life Sciences data, allowing for swift and actionable business insights derived from reliable information. This innovative solution enables the seamless integration of key structured and unstructured data sources within the life sciences sector, ensuring that the process is secure, precise, and adheres to industry regulations. To guarantee that the processed data meets quality standards and is suitable for its designated purpose, business management rules are implemented effectively. Furthermore, users have the capability to create data marts that facilitate downstream data consumption and reporting, catering to a variety of analytics systems, predictive models, or specific data stewards. The versatility and compliance of Axtria DataMAx™ make it an essential tool for organizations aiming to optimize their data management processes.

Description

Eliminate all manual procedures, potential error sources, and inefficiencies. Avoid the need to constantly re-engineer your data warehouse with every shift in business requirements. Implement automatic quality checks both between and within data sources and respond swiftly when issues arise, which is essential for numerous data users. It’s important to genuinely trust your data now. Create a “gold record” reference point to ensure that business teams always have access to the most up-to-date information available. Establish one unified version of the truth that can be accessed anytime, anywhere. Develop an intermediate model that organizes, stores, and preserves your data independently of how it will be used. Be agile in responding to evolving data sources and business inquiries. Seamlessly connect all your data sources—from data lakes and operational systems to spreadsheets and legacy tools—just like you would with the initial one. Ensure data is stored, preserved, and enhanced in quality to streamline data warehouse automation processes. Data should be organized, enriched, and thoroughly documented so that it is accessible in well-structured datasets (information marts). In doing so, you pave the way for more efficient decision-making across the organization.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Google Sheets No 
Microsoft Excel No 
Microsoft Power BI No 
Qlik Data Integration No 
Tableau No 
Toucan No 

Integrations

Google Sheets Yes 
Microsoft Excel Yes 
Microsoft Power BI Yes 
Qlik Data Integration Yes 
Tableau Yes 
Toucan Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

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 No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Axtria

Founded

2010

Country

United States

Website

www.axtria.com

Vendor Details

Company Name

dFakto

Founded

2000

Country

Belgium

Website

www.dfakto.com/datafaktory-data-warehouse-automation/

Product Features

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 

Product Features

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 

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