Data Cleansing and Organisation for Nipsea

CASE STUDY

Data Cleansing and Organisation for Nipsea


Nipsea was challenged by the limitations of traditional keyword-based search engines, which were unable to effectively search through documents and inconsistent client records. Not being able to cut through data silos, the insufficient data insights hindered work performance and customer satisfaction.

 

To improve knowledge discovery, a semantic search engine and custom-built ontology in targeted manufacturing domains were deployed to process a large range of unstructured document types.

In our short case study, we will summarise the following:

 

  • Client background and challenge
  • Types of information handled
  • Solution design

 

TAIGER is a visionary Artificial Intelligence (AI) company pioneering next-generation AI solutions to process highly unstructured information with ease, accuracy and versatility for businesses to optimise operational inefficiencies and drive business value. TAIGER is currently present in Singapore, the UAE, Spain and Mexico City with more than 50 global projects. Along with IMDA’s accreditation, TAIGER has won numerous global awards and plans to change the way humans work.

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