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Data Warehousing

Build a foundation for performant BI.

Design a consumption layer optimized for business intelligence.
Develop a data model in the Star or Snowflake schema
Build pipelines into the consumption layer.

Data Migration

No data left behind.

Lift-and-shift data from legacy warehouses onto the cloud
Optimize stored procedures to take advantage of modern features leading to performance optimization
Ensure data parity between legacy and new systems
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Roadmap Advisory

Start small. Scale fast.

Collaboratively build a roadmap and map it on value versus effort
Prioritize the roadmap to identify a starting point and snap out of the analysis paralysis

Data Lake

A starting point for your data scientists.

Ingest unstructured, semi-structured and structured data
Deep knowledge of popular business applications such as Salesforce, Oracle and SAP
Expertise in industry-specific applications across banking, insurance, real estate, mortgage, hospitality, retail, consumer goods and manufacturing
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Optimization Health Check

Get more out of your data platform investment.

Analyze your current setup to present observations and recommendations for optimizing cost and performance.
Document a roadmap of improvements following best practices and platform features.
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Data Ops

An extension of your team to keep the lights on.

Manage your data pipelines
Monitor the quality of your data
Track your data lineage
Monitor costs and performance
Maintain your data catalog

Start small and scale fast.
Put your data to work today.

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