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HighByte Intelligence Hub is a specialized Industrial DataOps software solution tailored for effective industrial data modeling, governance, and delivery.
This platform empowers mid-size to large industrial enterprises to enhance and expand their operational data usage across the organization by ensuring that this crucial information is contextualized, standardized, and safeguarded.
By deploying the software at the Edge, users can integrate and model real-time, transactional, and time-series data into a cohesive payload, providing contextualized and correlated insights to all necessary applications.
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What is DQ on Demand?
Tailored for the Azure environment, DQ on Demand™ delivers exceptional performance and scalability that stands out in the market. The platform allows for effortless transitions between data providers, enhancing your customer data through a flexible pay-as-you-go model by utilizing our web services, which function as an intuitive data quality marketplace. Users can access a variety of data services, including data cleansing, enrichment, formatting, validation, verification, and transformations. Simply connect to our web-based APIs to unleash these capabilities. This adaptability enables you to switch data providers with ease, giving you the autonomy to select the most suitable options for your requirements. Comprehensive developer documentation is available, facilitating a seamless integration journey. You only incur costs for the services you actually use, with the option to purchase credits and allocate them according to your needs. The setup process is designed to be straightforward and user-friendly, enhancing accessibility for all users. Additionally, all features of DQ on Demand™ can be effortlessly integrated into Excel, providing a familiar low-code or no-code solution. Furthermore, our DQ PCF controls ensure that your data is precisely cleansed within MS Dynamics, significantly boosting your data management capabilities. The synergy of these features guarantees that your data quality is consistently high while optimizing operational efficiency, making DQ on Demand™ an indispensable tool for data-driven organizations. This holistic approach not only elevates data quality but also enhances the overall user experience.
Integrations Supported
Microsoft Azure
Amazon Web Services (AWS)
Cognism
D&B Direct
Google Cloud Pub/Sub
Loqate
Microsoft Excel
Microsoft Power Apps
PARCview
dataPARC Historian
Integrations Supported
Microsoft Azure
Amazon Web Services (AWS)
Cognism
D&B Direct
Google Cloud Pub/Sub
Loqate
Microsoft Excel
Microsoft Power Apps
PARCview
dataPARC Historian
API Availability
Has API
API Availability
Has API
Pricing Information
17,500 per year
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
HighByte
Date Founded
2018
Company Location
United States
Company Website
www.highbyte.com
Company Facts
Organization Name
DQ Global
Date Founded
1997
Company Location
United Kingdom
Company Website
www.dqglobal.com/products/dq-on-demand/
Categories and Features
Data Cleansing
Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
Manufacturing Intelligence
Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization
Categories and Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management