In the Information Age, Data is Key King

Modernized data management is essential for strategic planning, insight generation, and growth. Rapidly evolving cloud capabilities make data ingestion, organization, synthesis, and utilization more and more valuable with each passing day.

For many organizations, implementing an effective data strategy is one of the most valuable — but challenging — imperatives on their radar today. As your experienced data and analytics solutions provider, NorthBay is here to take the pain out of big data, keeping you focused on big results.

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We Are Data Experts

AWS Partner - Data & Analytics Services Competency

AWS Partner - Well-Architected Partner Program

AWS Partner - Education Services Competency

AWS Partner - Public Sector Solution Provider

We Are Data Experts

Success Story:

Learn how NorthBay helped Eliza create a HIPAA-compliant data lake

Learn How You Can Find and Fix Data Quality Issues with the NorthBay Data Quality Engine

Eliza Corporation was founded in 1998 with the mission of helping to drive the modern healthcare consumer to take action on healthcare activities. By identifying unique individual motivations and barriers to bridge the healthcare requirements, interventions are made relevant in the minds of consumers

Read the Success Story

Dive Into Data Lakes

Data lakes provide cloud-based organizations a superior way to collect, access, understand, and leverage deep data. As the name implies, data lakes offer superior fluidity and depth than traditional data warehouses, which are rigid and shallow by comparison.

Through our experienced consulting services, NorthBay has architected and implemented hundreds of data lakes and analytics solutions, including:

Data Modernization

Determine how data, people, processes, and technology converge to advance business goals

Data Migration

Transfer legacy on-prem databases and data warehouses to a scalable, agile data lake

Data Analytics

Translate structured and unstructured data into actionable insights with clear value

Data Warehouses vs. Data Lakes: Key Differences

Data	Warehouse	Lake
Type	Structured Only	Structured + Unstructured
Purpose	Business Intelligence	Data Science, Analytics, AI/ML
Stakeholders	Business Professionals	Data Scientists, Data Analysts, Business Professionals
Accessibility	Rigid, Complex	Fluid, Accessible