End-to-End DATA Solution
Next Generation Patented Database Technology
We help global enterprises solve complex data challenges of data silos of monolithic & pseudo-distributed Database management systems by leveraging proprietary rich Natural Language Processing (NLP), artificial intelligence (AI) and machine learning to the construction of a comprehensive cross-asset and macro taxonomy providing unparalleled access and equitable distribution of massive data.
ETL Solutions for quick Data Ingestion
Our Patented technology allows you seamlessly integrate structures and unstructured data
NLP enabled Queries for Ad-Hoc requests
Transcend beyond the need for technical support to run Ad-hoc queries using our NLP enabled queries
Advance Analytics with AI/ML Features
Automate Analytical Processes with AI/ML, reducing time to gain powerful insights into your business
Natural Security and Protection of your Data
Our Database Management System provides natural security with Data Atomization Technology
Inbuilt IOT Structures and Standardisation
Deploy IoT solutions with standardized structures to analyse data and provide steady communication between devices
End to End Database Management Solution
An end-to-end Database Management Solution for all your enterprise Data requirements
End-to-End DATA Solution
A4 Data Solution Architecture - Data Atomization
Data atomization can complement microservices architecture by breaking down the data used by each microservice into smaller, more manageable units. This can improve the efficiency and scalability of the microservices, as each microservice can focus on processing and managing smaller, more targeted data sets.
End-to-End DATA Solution
A4 Data use Cases and where you can Leverage It
OLAP (Online Analytical Processing)
A4 stores transactional data as Dimension & Facts to enable OLAP on transactional structures
Test Data Management
Reduced time for testers to get test data for testing due to the ease of access to data using NLP
Artificial Intelligence / Machine Learning
A4 provides inbuilt feature engineering functions that help a data scientist reduce data preparation work for modelling
Document Management
Majority of the words of a language or a specialization can be treated asindependent keysets
Context based Information Collaboratio
Stitch unstructured and structured data from multiple sources