Enterprise Data
Implement transactional ERP data, CRM systems and a wide variety of semi-structured and unstructured data sets present in content repositories.
Software
Data Science
By leveraging a range of visualization tools and big data technologies, our experts offer the best results across the entire data cycle.
We analyze and identify patterns, relationships and regularities in data to provide insights about the dynamics of information flow that power up business intelligence.
Our aim is to prepare clients to face market challenges including unwieldy data supply chains, interoperable technologies and complex data architectures. We create a modern data supply chain to help businesses manage, move and mobilize large data sets spread throughout the organization.
We create a modern data supply chain to help businesses manage, move and mobilize large data sets.
Agasthya App Labs — Data practice
The data we work with
Machine Data
Improve end-to-end transactional visibility to log files and other machine-generated data for gaining complete insights into an IT infrastructure.
Sensor-Generated Data
Data accumulated from smart devices, control systems, connected appliances, industrial equipment and any IoT device available.
Social Data
Harness enterprise-class data that has been generated by people in the digital world, social media platforms and location-based services.
Technologies
What we build with
Python
R
SQL
Apache Spark
Hadoop
TensorFlow
Power BI
Tableau
Snowflake
Airflow
Industries
Who we build this for
Agriculture
The science and art of cultivating plants and livestock
Transport
The movement of people and goods from one location to another
Education
Facilitating learning and the acquisition of knowledge
Retail
Selling consumer goods or services to customers
Finance
The management of money and investments
Manufacturing
Production of products for use or sale, using labour and machines
Health
A state of physical well-being free of disease and infirmity
Mining
Extraction of valuable minerals from the Earth
Let’s talk about data science
Responsive collaboration and dedicated focus on delivering world-class output with stringent time lines.