Data & Observability

We help Define and Refine your Data Strategy, Model and Observability in a 4 to 12 week period through a set of Methodologies and Best in Class Industry Tools.

Data Modeling & Ontology

8 to 12 week engagement to help define the Data Ontology for your Domain or SubDomain. Mapping your Model to Industry Global Ontologies, so it is aligned with the Standard Naming Conventions and Enumerations.

Data Governance

4 to 8 week engagement to help you establish Data Governance Workflows around your Data Model using Git, BigParser and other Open Source tools to enable tracking of changes and lineage for your Core and Extension Data Models.

Data Observability

8 to 12 week engagement to implement the standard data observability tools for (Logging, Monitoring and Tracing) across your existing App or Platform.

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Additional, areas for engagement are Data Strategy, Data Archival, Data Transport, Data Transformation, Data Ingestion, Data Aggregation, Data Lake, Data Warehouse and Data Migration / Conversion across systems to enable your journey to the World powered by AI.

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What We Do

AI & Business Strategy

A set of frameworks (Current State Assessment, Maturity Model, Business Outcomes) that helps you Define and Align your AI Strategy to your Business Strategy.

Architecture

Technology & Solution Roadmaps for your AI Platform, Data Platform and Cloud.

Stability & NFRs

Robust Framework for Assessing your Platform Current State across all Non-Functional areas including Controls, Architecture, Performance, Deployments, Testing, Data Layer, Monitoring, Security and Network.

Data & Observability

A set of Accelerators and Solutions that help you setup your Data Platform (Real Time Streaming and Batch) and Frameworks for Logging, Monitoring and Distributed Tracing.

Platform Engineering & Cloud

A set of Accelerators to build your Gen AI Platform, ML Ops Platform and the Data Platform.

Data & Observability