Catalog Management:

dynamic process where products are organized in a specific way to ensure consistent and high-quality data across sales channels.

Organize content using simple nested tags. Automate the process to avoid human errors, unnecessary costs, and delays in tagging.


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Any delay in product on-boarding affects new product launches and negatively impacts our bottomline.
- Alain Wertheimer, Chanel

Apply machine learning processes to learn how your editors tag your content and then engage semantic analysis to analyze your entire content library. Once analyzed, then the system starts tagging content. Any error in tagging is notified and fed back into the model for relearning and future avoidance of same mistake.

  • Catalog Management
  • Non-Stop Learning
  • Multiple Media Content Types
  • Multiple Category Types of Tags
  • Evolve as Taxonomy Changes
  • Extract more granular Meta-Data

Traditional methods of tagging are tedious and require high manpower and time. Depending on the number of products in any catalog, a typical manual tagging process can range anywhere between 30–40 hours a week tagging just 200–300 products a day. At Data Glue our solutions cut that time and automate the process to remove human interventions.

Automated Tagging

Manage all your portfolio assets:

  • Product On-Boarding
  • Portfolio - Catalog Management
  • Product Versionings and Geo-Specific Types
  • Granular Access Controls
  • Constraints for Uniform Deployment
  • Data Recovery and Backup
  • Security and Monitoring
  • Cloud Architecture

As a media brand, keeping all of your content properly tagged and characterized is a never ending task. That's where we can help. At Data Glue our tagging solutions provide access to automated processes that scan and tag media assets for you, without human intervention. Use novel tools to tag using cloud computing resources.


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Analytics

Visually track, analyze and display key performance indicators (KPIs) in real-time with customized designs.

Visually track, analyze and display key performance indicators (KPIs) in real-time with customized designs.

BIG-Data: process vast amounts of data using open source tools such as Apache Spark to run petabyte-scale analysis at less than half of the cost of traditional on-premises solutions.

Warehousing: query petabytes of structured and semi-structured data, easily save the results and share with team members. All done using a cost-savings central location.

Dashboards: cloud-powered business intelligence services that makes it easy to publish insights to everyone in your organization.

Ad-Hoc SQL queries: serverless interactive engine that enables customized SQL data queries.



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Internet of Things (IoT)

Seamlessly Connect in Real-Time

Connect your machines, devices, workers, facilities, and entire systems to the industrial IoT. Gain powerful new capabilities to digitally transform your business

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Data Management

Ingestion | Data Lakes | Data Bases | Data Warehouses

Acquire, validate, store, protect, and process data to ensure its accessibility, reliability, and timeliness.

Data page

Machine Learning

Facial Recognition | Translations | Forecasting | Enterprise Search

At Data Glue we provide ready-made intelligence for your operational workflows. Our machine learning services easily integrate with your applications to address your most difficult pain points.

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Use Cases

Recent Works

Internet of Things

Connect to devices on the field for real-time readings and instant predictions of expected outputs.

Automated Processes

Autonomous behavior from modern systems accelerate operational performance.

Automated Communications

Cloud contact centers at a lower cost.