Ness helps companies build the right data infrastructure, transformation processes, and analysis methods, so they can capitalize on the power of their data to improve productivity and increase revenue.

Client challenges that we solve

  • What is the best way for the company to implement a data framework that is scalable and will evolve as we grow?
  • How can the company effectively merge data from multiple sources to create new perspectives on our business?
  • What opportunities for operational improvement can we surface with advanced data analytics?
  • How can we visualize data in a way that is more meaningful to our stakeholders?
  • What are practical ways we can leverage Artificial Intelligence (AI) and Machine Learning to improve the way we do business?

Big Data & Analytics solutions


Helping our clients define and implement a Big Data infrastructure that supports business requirements for scalability, flexibility, security, and affordability. This includes on premise, cloud-based, or hybrid infrastructure solutions, infrastructure management and monitoring, and implementation of supporting databases and data search engines

Extract, Transform, Load (ETL)

Performing data ingestion, transformation, and integration, particularly for large amounts of data from multiple sources. Ness also develops a data governance framework to ensure data provenance, data integrity, and internal authorization processes meet customer requirements

Data Analytics

Providing Business Intelligence (BI) and visualization solutions, including design of BI strategy, data mart and enterprise data warehouse architectures, smart dashboards, and other visualization techniques. Ness has particular expertise in helping clients identify practical applications for predictive, real-time, and cognitive analytics and creating machine learning solutions that operate very effectively in production environments

Work in Action

Enhancing a recommendation engine

A technology company asked Ness to help it enhance its recommendation features with the capability to crawl millions of web pages for content information. Ness created a scalable, cloud-based solution that combines web data extraction with real time information mapping and indexing. We defined an easy-to-use visual interface for onboarding new sites to crawl that reduces data source onboarding from 2 days to 2 hours.

Creating a 360-degree customer view

Ness significantly reduced the friction customers experienced when purchasing a client’s products. Ness created a “single source of truth” about customers by aggregating key client and partner data. Rules around data collection, cleansing, and standardization were established between client and partner systems, so that the client had a 360-degree view of customer data for operational and marketing purposes.

Building an enterprise data hub

We partnered with a client’s innovation team to create an Enterprise Data Hub that included ETL for real time and near real time ingestion and transformation of transaction data. This included precomputing data related to customer information for an Anti Money Laundering (AML) module. The solution enables faster data consumption by downstream systems and long-term data flexibility.

Contact us to learn more

Ness likes to work collaboratively with its customers, so please ask us questions if you would like to learn more about our services. We look forward to answering them.
Browser warning
We noticed that you are using Internet Explorer. Not all of our website’s functions will work on Internet Explorer. For a better experience, we recommend that you visit us on a different browser. Click here for a list of the latest versions.