Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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