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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.
What is DataEQ?
BrandsEye empowers businesses to boost their revenue, enhance cost efficiency, and mitigate risks by gaining insights into customer experiences. By leveraging a blend of crowd-sourcing and artificial intelligence, we convert unstructured customer feedback into precise, actionable intelligence. The BrandsEye Crowd, consisting of human contributors, plays a crucial role in pinpointing the factors influencing customer sentiment. This capability not only facilitates informed strategic decisions but also enables effective operational responses. Ultimately, BrandsEye helps organizations stay ahead of market trends and customer expectations.
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
Spectrum
Company Location
United States
Company Website
www.precisely.com/product/precisely-spectrum-quality/spectrum-context-graph
Company Facts
Organization Name
DataEQ (formerly BrandsEye)
Date Founded
2007
Company Location
United Kingdom
Company Website
www.dataeq.com
Categories and Features
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling
Categories and Features
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Reputation Management
Campaign Management
Gamification
Response Management
Review Generation
Review Monitoring
Sentiment Analysis
Social Media Metrics
Social Media Monitoring
White Label