Professional artificial intelligence products

Data Analytics Pillars

Governance and Security Implementing robust access controls at the row and column level, ensuring regulatory compliance, and protecting sensitive information through data privacy, anonymization, and governance best practices.

Data Quality and Architecture Ensuring data is accurate, consistent, and properly structured through modern ETL/ELT frameworks, enabling reliable decision-making and AI-driven initiatives.

Analytical Performance Optimizing data models, query performance, and information delivery to reduce latency and provide timely insights to business users.

Data Cost Optimization Maximizing efficiency across storage and analytics services through proper data tiering strategies (Hot, Warm, and Cold data) and right-sizing analytical compute resources.

Reliability and Availability Designing resilient, highly available data pipelines and platforms that support business-critical operations without disruption.

What Do We Deliver Through This Professional Service?

• Proper sizing and design of the data technology stack, including ingestion, storage, orchestration, and visualization tools.
• Application of industry-leading frameworks and best practices, such as the AWS Well-Architected Framework Data Analytics Lens.
• Accurate estimation of timelines, effort, and costs required to build, modernize, or scale your data platform.

DPA Deliverables

At the end of the assessment, you will receive:

• A maturity assessment of your current data ecosystem.
• A tailored Modern Data Architecture diagram aligned with your business objectives.
• A detailed implementation roadmap and project timeline.
• An operational cost projection for the cloud services required to support your analytics platform.