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features
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support

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Description

When data is gathered daily, it may not always be fully utilized, presenting a unique challenge to maximize its potential for your business. To effectively harness this data, Ysance employs the Datalake model, which serves as a centralized repository for storing and managing an organization's data. Our expertise lies in assisting you with identifying your requirements, architecting the system, selecting appropriate technologies, developing processes, and creating use cases, all aimed at transforming data into a valuable asset for your enterprise. We guide you in managing diverse and raw data from various information sources, ensuring their quality, aggregation, and real-time accessibility to enhance your business applications. By designing and integrating cutting-edge architectures like Data Lake and Lakeshore within your information system, we ensure that your operational constraints are fully considered and addressed. This holistic approach not only optimizes data management but also empowers your organization to make informed decisions based on reliable insights.

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

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

Integrations

Convert Experiences No 
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 Yes 

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

Ysance

Founded

2005

Country

France

Website

www.ysance.com/data-services/fr/home/

Vendor Details

Company Name

dFakto

Founded

2000

Country

Belgium

Website

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

Product Features

Customer Data Platforms (CDP)

Behavioral Analytics No 
Campaign Management No 
Customer Profiles No 
Customer Segmentation No 
Data Integration No 
Data Matching No 
GDPR Compliance No 
Personalization No 
Predictive Modeling 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 

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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