Creating a data-driven organization, one that can see insights buried deep where competitors cannot, requires more than just access to data. It requires organizations to have a strategy, plan, and roadmap of how they plan to capture, organize, curate, and finally analyze their data to create actionable insights for the business to become more competitive, efficient, and responsive.
We improve their business through data management and analytics, working with individual departments and across the enterprise, to employ solutions that use data that businesses are already collecting and generating from their operations. By working closely with stakeholders to understand their needs, we define strategies, roadmaps, implement technology, and guide our clients to make a data-driven organization possible.
Nitrate™ leverages Artificial Intelligence (AI) and Machine Learning (ML) to understand the correlation and causality of operational incidents. It provides a holistic view of applications, analyzes the system’s health, detects anomalies, and constantly learns to keep the applications performance-optimized. Nitrate™ also has a built-in ML-driven ChatOps framework that helps teams in reducing dependencies on manual ‘search and react’ aspects of production operations.
LEARN MOREMigration of data to the seed data lake is a huge task, requiring a lot of development cycles to build the pipelines, and put auditing and error checking in place. CARBON automates the source metadata identification, builds the pipeline, including the deployment dags, based on the source (file, database, service, or stream) with error checking and audit functionality.
LEARN MOREAutomating ETL testing and data validation has been a gap in the industry. BEAT™ has a unique way of solving this problem by building a solution that tackles this from the data consumers perspective. BEAT™ also moves data integration work to a BDD methodology for ETL stories.
LEARN MORETaken from delivering large data management and analytics solutions within retail, high technology, manufacturing, and financial services, our Data Management and Analytics practice has developed capabilities around technologies and practices to support departmental and enterprise initiatives.