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What is INQDATA?
A cloud-based data science platform offers carefully organized and optimized data, ready for instant utilization. Organizations face significant challenges, constrained resources, and high costs when managing their data before they can derive valuable insights. The process involves stages such as ingestion, cleansing, storage, and access, ultimately leading to analysis, where the real benefits are realized. Our solution enables clients to focus on their core business activities, as we handle the intricate and expensive data lifecycle on their behalf. Furthermore, our cloud-native solution facilitates real-time streaming analytics, leveraging the strengths of cloud technology, which allows INQDATA to provide rapid and scalable access to both historical and current data while removing infrastructure challenges. This method not only improves overall efficiency but also equips businesses to swiftly adjust to their changing data requirements. By doing so, we help organizations remain competitive in a fast-paced market driven by data.
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
Cognism
D&B Direct
Loqate
Microsoft Azure
Microsoft Excel
Microsoft Power Apps
Integrations Supported
Cognism
D&B Direct
Loqate
Microsoft Azure
Microsoft Excel
Microsoft Power Apps
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
INQDATA
Date Founded
2023
Company Location
United Kingdom
Company Website
www.inqdata.ai/
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
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Categories and Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
