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Outcomes
Infuse Analytics
Readiness
Assessing all key aspects of data including connectivity, accessibility, scalability, quality, security, re-usability and governance. Our approach involves preparation of a blueprint for data-led initiatives with a ‘Data-first’ approach in architecture design and implementation of data frameworks.
Managing end-to-end datawarehouse needs with the ability to scale infrastructure on-demand. Our approach includes expediting data integration with heterogeneous data sources, automating data transformations with business-specific rules and building the right models that can integrate with legacy and agile technologies across the enterprise.
Enabling a unified view of the enterprise with a data lake to manage data of all nature, size and pace. Our proposition includes implementing reliable data governance with lineage, semantic consistency, role-based access, policies and augmenting capabilities to plug-in components, engines and connectors to popular sources.
Infusing Data Governance & Stewardship with the right set of controls for internal policies and external regulations. Our proposition includes implementing data quality, Master Data Management (MDM) by creating a ‘Universal reference’ source and enabling the right blend of data management tools with human intelligence.
Managing high volume and veracity of unstructured data by enabling high speed, flexible and extensible data ingestion. Our approach involves profiling data on hadoop to understand data, quality issues, collaboration on pipelines and management of spark on hadoop clusters.
Our approach enables businesses seamlessly navigate the Data Maturity journey - from standardizing their reporting, augmenting capabilities on the cloud to accelerating model outcomes across verticals, functions and technologies.
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