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What is Lume?

Integrating AI-driven data mapping into your organizational framework can permanently eliminate the complexities associated with data wrangling. The Lume platform provides you with complete oversight and authority over all your data pipelines and mappings. You can quickly examine, adjust, and implement data mappers in a matter of seconds, enabling continuous usage without restrictions. This capability significantly expedites the onboarding process for both customers and partners by allowing for the effortless integration of their unique data in mere moments. It effectively addresses the disorder created by inconsistent data sourced from various legacy systems during integration. Instantly generate multiple data pipelines that are capable of reading from and writing to any source and destination models. You can detect alterations in your source data or target models and automatically re-transform the data to fit the new frameworks. By empowering your teams to leverage AI for data transformation, you simplify the management of complex data mappings, thereby boosting both efficiency and accuracy in your operations. This seamless integration not only optimizes workflows but also promotes a more adaptive and responsive approach to data management, ensuring that your organization remains agile in an ever-evolving landscape. As a result, you position your business to better handle future data challenges with confidence.

What is DQ Studio?

DQ Studio™ is a powerful and highly flexible engine designed for master data management. It can connect with more than 130 diverse data sources and targets, empowering users to extract data, execute sophisticated data quality procedures, and relocate information—all within an intuitive low-code/no-code interface. This software enables users to retrieve data from various legacy systems, local installations, or online services, ensuring effortless migration to new settings. With a rich history spanning over 25 years in customer data management, we have faced countless data quality challenges, and our committed team ensures that every project is completed on schedule and within budget. You can have peace of mind knowing that your data is properly formatted, transformed, and enriched, followed by thorough duplicate verification before being inserted or updated in your business applications. The adaptability of DQ Studio™ facilitates smooth links to over 130 sources and targets, allowing users to effectively migrate data, integrate various systems, or consolidate different platforms through our extensive connectors. In an era where data is a crucial asset, having such a detailed and comprehensive tool at your fingertips can greatly improve your organization’s data management effectiveness, thus positioning you for success in a competitive landscape. This ensures that your organization can respond swiftly to changing data needs while maintaining high standards of quality and accuracy.

Media

Media

Integrations Supported

Active Directory
Amazon SimpleDB
Azure Table Storage
Google Analytics
Google Cloud BigQuery
HubSpot CRM
LinkedIn
Microsoft Dynamics 365
Microsoft Exchange
MongoDB
NetSuite CRM
Oracle Database
PostgreSQL
QuickBooks Online
QuickBooks POS
SQLite
Salesforce
Sugar Connect
X (Twitter)

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Lume

Company Website

www.lume.ai/

Company Facts

Organization Name

DQ Global

Date Founded

1997

Company Location

United Kingdom

Company Website

www.dqglobal.com/products/dq-studio/

Categories and Features

AI Tools

Not specified

Data Mapping

Not specified

Categories and Features

Data Management

Not specified

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