Data Analytics

Accelerate data migration to the cloud through automation and best practices, which helps organizations reduce 40% of migration efforts. 

Disruptive intelligence platform to monitor analytics resource consumption, maximize efficiency by 20-30% and save time in data analysis by 40-60%. 

A unified data management framework for data migration and data quality management can also be implemented as a revenue and margin assurance framework. 

Address key challenges in the SCM value chains and adapt the Kanban methodology framework for implementing agile and DevOps software. 

FasTest is an ETL Testing Automation Framework that handles the complexities involved in the ETL Testing and reconciliation phase, making its execution faster, more reliable, and more consistent. 

Data Mesh and Data Fabric are modern architecture concepts that enable the availability of quality data in a timely fashion to the right people in the right format.

VaaS framework is a one-stop solution for all BI and analytics requirements, including self-service analytics, NLQ/NLP query, dashboard templates, and Smart narrative.

CDIF is a metadata-driven automated ingestion framework that expedites the data onboarding process. It also helps to automate data quality checks and basic data transformations while ingesting data.

A Single Pane of Glass is used for the modern data value chain, including data ingestion, management, optics, modernization, and outcomes.

Simplify the journey from data collection to consumption with a workflow pipeline, making the transition from raw information to efficient consumption smoother.