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Use Purpose-built accelerators from Tiger Analytics to fastrack Data Migration/Modernization
Automate Data Lake / Lakehouse / Warehouse Implementation
Apply Data Quality rules and manage Data Quality
Convert code from legacy technologies (e.g., SQL, Oracle) to modern platforms (e.g., Spark)
Identify Data Models and Entity Relationships from the legacy code automatically
(Assess and Plan)
(Code Conversion)
(Validation)
(Cost & Performance)
Highly scalable architecture with
60%
Reusable components
50%
Effective data mapping
$10mn
Potential business impact
75%
Data reusability with automated data management pipelines
We provide certainty by solving your toughest challenges.
Our problem-solving approach involves finding answers and asking more questions until we know what will determine success and how to get there. We excel at helping you drive the right course of action, dispel ambiguity, and confidently move ahead by combining the best of AI and analytics.