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What is Ysance?

The daily accumulation of data often remains underutilized, posing a distinct challenge in fully leveraging its value for your organization. To effectively tap into this resource, Ysance utilizes the Datalake model, which acts as a centralized hub for the storage and management of an organization’s data. Our expertise focuses on understanding your specific needs, designing the system architecture, choosing the right technologies, developing efficient processes, and crafting practical use cases, all to convert data into a significant asset for your business. We assist you in managing varied and unrefined data sourced from multiple platforms, ensuring its quality, aggregation, and real-time availability to bolster your business applications. By designing and incorporating advanced architectures such as Data Lake and Lakeshore into your information ecosystem, we take care to address and respect your operational constraints thoroughly. This comprehensive strategy not only enhances data management but also equips your organization with the ability to make well-informed decisions based on dependable insights. Ultimately, our approach ensures that your organization is prepared to adapt and thrive in an increasingly data-driven landscape.

What is Spectrum Context Graph?

Gain a holistic and shareable understanding of your customers through cutting-edge knowledge graphs, enabling the development of precise and actionable insights centered around their needs. The quality of customer data plays a crucial role in determining the nature of interactions, engagement, and overall experiences. When the data quality is elevated, it leads to a unified and accurate representation of customers, shedding light on their needs and behaviors. Furthermore, dependable data offers a comprehensive view of transaction histories along with vital contextual information, which is essential for providing the personalized experiences that customers seek. By breaking down data silos and barriers, you can link previously difficult-to-access information and spread insights across your organization. Enrich customer profiles with deep context, unveil timely actionable insights, and design compelling experiences. With the Spectrum Context Graph, you are equipped with a fully integrated, precise, and enriched 360-degree view of your customers, which not only drives your business towards success but also guarantees that every decision is backed by thorough data. This method not only improves customer satisfaction but also fosters long-term loyalty and deeper engagement over time, creating a cycle of continuous improvement and innovation in customer relations.

Media

Media

Integrations Supported

Convert Experiences
IBM i
SAP Cloud Platform

Integrations Supported

Convert Experiences
IBM i
SAP Cloud Platform

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Ysance

Date Founded

2005

Company Location

France

Company Website

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

Company Facts

Organization Name

Spectrum

Company Location

United States

Company Website

www.precisely.com/product/precisely-spectrum-quality/spectrum-context-graph

Categories and Features

Customer Data Platforms (CDP)

Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling

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

Customer Data Platforms (CDP)

Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling

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