Data Transformation Performed For Data-Driven Decision-Making

CUSTOMER

RTI International

INDUSTRY

Public Sector  

CUSTOMER

RTI International

INDUSTRY

Public Sector  

80%

Reduction in TCO

95%

Utilization of different programming

100%

Open-source framework

100%

Improvement in code quality

RTI-Data-Transformation-Case-Study

About Client

RTI is an independent, nonprofit institute that provides research, development, and technical services to government and commercial clients. They provide research and technical expertise to governments and businesses in more than 75 countries in the areas of health and pharmaceuticals, education and training, surveys and statistics, international development, economic and social policy, energy and the environment, and others with multiple tools.

Key Challenges

  • Utilize new-age data technologies to develop data assets.
  • Simplify data flow by consolidating multiple data sources.
  • Increase the accuracy of data for better decision-making.
  • Support future business requirements for visualization, data analytics, AI & ML jobs, model training, and more.
SERVICES:

PLATFORM: Microsoft Azure
TECHNOLOGY: C#, ASP.Net Core, PostgreSQL, NPOI for Excel manipulation
COUNTRY: United States

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The Solutions

Successive worked with the client to build data assets using a data consolidation framework. We answered all their W’s and How related to scattering data and reaping their data assets for infinite reuse across projects and with multiple clients.

  • Used frameworks like ASP.Net to create dynamic content-driven websites.
  • Developed a system that reads and collates data from multiple public data sources.
  • Included standard procedures like data ingestion, transformation, and data factory configuration.
  • Deployed complete solutions on Azure cloud to support emerging technologies.

Data Transformation Performed For Data-Driven Decision-Making

Public Sector

RTI-Data-Transformation-Case-Study

Objective

RTI International aspired to seed its range of products and services with advanced data assets. They wanted a database framework allowing them to populate data across products and services, help increase operational efficiency and reduce cost.

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