WHY DATANA?



Our experienced data scientists have developed an array of applications
(e.g. Thai NLP, Video/Image Recognition, Geospatial)
utilising cutting edge AI technology (Deep Learning) for retail, financial
services, healthcare, hospitality, and government markets.

We turn our AI and machine learning applications into libraries for
Datana users to explore with their data and ideas.

Introduction to DATANA features

SIMPLE TO USE


Datana provides a simple to use framework for end-to-end big data pipeline integration and provision ranging from data ingestion, data preparation, modeling to deployment. Users have flexibility to deploy Datana on their cloud or on our scalable cloud services. 

MULTI-LANGUAGE SUPPORT


Datana supports multi-programming cells in the same notebook. Users could mix and match the strengths of R, Scala Python using the great collection of R statistical libraries with Python or Scala for feature engineering, other machine learning techniques while documenting their data science or pipeline processes with HTML or Markdown language. 

CODE REUSABILITY AND
KNOWLEDGE SHARING


Datana introduces a template programming paradigm by allowing users to use some built-in data science templates (e.g. data cleaning, feature engineering,machine learning). Users could save a snippet of their code as a template building block and share with their team members to speed up the learning curve of new data science project.

DATA ENRICHMENT PROCESS
AUTOMATION


Datana leverages data scientist experience and human/ machine intelligence to develop an automated process for data cleaning and data enrichment (crowdsourcing for data enhancement).