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What is dataFactory?

Remove all manual processes, potential sources of error, and inefficiencies to streamline operations. Eliminate the necessity to frequently reconfigure your data warehouse with each change in business needs. Introduce automated quality checks both among and within data sources and ensure prompt responses to any arising issues, as this is crucial for many data users. It is vital to have complete confidence in your data today. Establish a "gold record" reference point that guarantees business teams can always access the latest information available. Create a single, unified version of the truth that is accessible anytime and from anywhere. Develop an intermediate model that organizes, stores, and maintains your data independently of its intended use. Be quick to adapt to changing data sources and business questions. Integrate all data sources—from data lakes and operational systems to spreadsheets and legacy applications—just as you did with the initial one. Ensure that data is stored, preserved, and improved in quality to facilitate the automation of data warehouse processes. Organize, enrich, and meticulously document your data so that it is readily available in well-structured datasets, often referred to as information marts. By doing this, you lay the foundation for more effective decision-making throughout the organization, ultimately fostering a culture of data-driven insights and innovation.

What is biGENIUS?

biGENIUS streamlines every aspect of analytic data management solutions, such as data lakes, data warehouses, and data marts, enabling you to transform your data into actionable business insights efficiently and economically. By employing these data analytics solutions, you can conserve valuable time, reduce effort, and lower costs. The platform facilitates the seamless incorporation of fresh ideas and data into your analytic frameworks. Utilizing a metadata-driven strategy enables you to leverage the latest technological advancements effectively. As digitalization progresses, traditional data warehouses and business intelligence systems must evolve to manage the growing volume of data effectively. Therefore, effective analytical data management has become crucial for contemporary business decision-making. This approach must incorporate new data sources, adapt to emerging technologies, and provide efficient solutions at an unprecedented speed, ideally while utilizing minimal resources. In this rapidly changing landscape, the ability to swiftly adjust to new requirements will determine the success of businesses.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

833CHF/seat/month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

dFakto

Date Founded

2000

Company Location

Belgium

Company Website

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

Company Facts

Organization Name

biGENIUS AG

Date Founded

2011

Company Location

Switzerland

Company Website

www.bigenius-x.com

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Categories and Features

Big Data

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

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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