Clients of Merit Data and Technology

Data Aggregation 

Combine millions of specialised, industry specific data points, from different file types and formats, quality controlled and checked by data engineers.

Data Transformation

Our data transformation process can be driven by various types of technology including Artificial Intelligence, machine learning, robotic process automation and NLP. Our experienced data scientists ensure accuracy over 97% with manual checking and quality control.

Data Delivery

How do you want it? We can serve the data you need to any platform, database or dashboard that you or your clients work with.

Data Engineering

Our team of data architects, data engineers and analysts work closely with your tech teams to drive optimised processes, create trusted partnerships and maximise project value.

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Our Data Engineering Services Include

Design and development of end-to-end data pipelines (ETL / ELT)

Design and implementation of scalable Data warehouses/Data Lakes

Design and development of Feature Stores

Building and implementation of compliant data governance solutions

Solution deployment on the cloud, on-premises or hybrids

Data migration from heterogeneous systems, storage and apps

Data integration – creating unified data views by aggregating multiple sources with enterprise metadata synchronisation and management

A Data Engineering Case Study

One of our clients is a global market leader in credit risk and ratings that provides deep insights into the debt investment market, providing comprehensive intelligence about the macroeconomic environment to their clients.

They had an issue with outdated data that needed to be migrated to Salesforce.

We provided them with a solution that de-duped and validated all the data that entered their system while reducing maintenance costs.

digital engineering data

Here’s how we did it

What can Merit Data and Technology do? 

Our solutions help some of the world’s largest intelligence brands seamlessly deliver data and insights to their end customers, including: 

  • Collecting attributes of retail products on eCommerce platforms 
  • Gathering audience data for events or marketing activities 
  • Delivering curated content from thousands of online documents or PDFs 
  • Aggregate millions of specialised, industry-specific data points
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Case Studies

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    Advanced ETL Solutions for Accurate Analytics and Business Insights

    This solutions enhanced source-target mapping with ETL while reducing cost by 20% in a single data warehouse environment

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    AI Driven Fashion Product Image Processing at Scale

    Learn how a global consumer and design trends forecasting authority collects fashion data daily and transforms it to provide meaningful insight into breaking and long-term trends.

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    End To End Automated Construction Data Harvesting And Aggregation

    A leading construction intelligence service provider required the continuous tracking and update of data on construction projects through automation.

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