The network sphere held in its Data state: a globe of connected nodes, mostly Indigo with a scattering of Blue, inside a faint Lavender trust ring.
Data
Build the foundation for intelligence.
Turn fragmented data into a trusted, connected and usable enterprise asset.
The assessment covers data maturity and AI readiness: where your data is today, where it needs to go, and the roadmap between.
What trusted data makes possible
Six outcomes the Data practice is built around. Each one starts from the data you already have.
Build a Data Strategy
Understand where your data is today, define where it needs to go, and create an actionable roadmap.
Create Trusted Data
Improve quality, ownership, governance, metadata and consistency across the organization.
Modernize Your Data Platform
Move from fragmented or legacy environments toward scalable modern data architecture.
Connect Your Data
Integrate information across applications, platforms and business functions.
Turn Data Into Insight
Build analytics, dashboards and decision-support capabilities around trusted information.
Become AI-Ready
Prepare structured and unstructured enterprise data for AI, agents and advanced analytics.
Four capability areas, one foundation
DataPassage.ai helps organizations understand, organize, govern and activate their data. From data strategy and maturity assessment to architecture, engineering, quality, governance and analytics, we build the trusted data foundation required for better decisions and AI at scale.
Strategy & Governance
Data strategy, maturity, governance, operating model, quality and advisory.
Architecture & Engineering
Architecture, integration, pipelines, migration, warehouses, lakes, lakehouses and platform enablement.
Management & Trust
Quality, master data, metadata, cataloging, lineage, stewardship and lifecycle management.
Analytics & Intelligence
Business intelligence, dashboards, advanced analytics, data products and self-service analytics.
Advise, build and manage your data
Every engagement moves through the same three stations. Each lists what we do there.
Advise
Understand your data. Define where it needs to go.
- Data Strategy & Roadmap
- Data Maturity Assessment
- Data Architecture Advisory
- Data Governance Strategy
- Data Operating Model
- Data Quality Assessment
- Data Platform & Technology Advisory
- AI-Ready Data Assessment
Build
Connect, clean and transform data into something the business can use.
- Data Engineering & Integration
- Data Cleansing & Quality
- Data Migration & Modernization
- Data Platforms & Architecture
- Data Warehouses, Lakes & Lakehouses
- Master Data Management
- Metadata, Cataloging & Lineage
- Business Intelligence & Dashboards
- Advanced Analytics
- Data Products & Self-Service Analytics
Manage
Keep enterprise data trusted, available and ready for what comes next.
- Data Quality Monitoring
- Data Governance Operations
- Data Platform Management
- Data Pipeline Monitoring
- Master & Reference Data Operations
- Analytics & Reporting Support
- DataOps
- Performance & Cost Optimization
- Continuous Data Improvement
AdviseUnderstand your data. Define where it needs to go.
- Data Strategy & Roadmap
- Data Maturity Assessment
- Data Architecture Advisory
- Data Governance Strategy
- Data Operating Model
- Data Quality Assessment
- Data Platform & Technology Advisory
- AI-Ready Data Assessment
BuildConnect, clean and transform data into something the business can use.
- Data Engineering & Integration
- Data Cleansing & Quality
- Data Migration & Modernization
- Data Platforms & Architecture
- Data Warehouses, Lakes & Lakehouses
- Master Data Management
- Metadata, Cataloging & Lineage
- Business Intelligence & Dashboards
- Advanced Analytics
- Data Products & Self-Service Analytics
ManageKeep enterprise data trusted, available and ready for what comes next.
- Data Quality Monitoring
- Data Governance Operations
- Data Platform Management
- Data Pipeline Monitoring
- Master & Reference Data Operations
- Analytics & Reporting Support
- DataOps
- Performance & Cost Optimization
- Continuous Data Improvement
Practice boundary
Data Governance sets classification, ownership, access and privacy requirements. Technical protection and security operations sit with the Cybersecurity practice, so ownership stays clear and the two connect.
Next in the journey
The Data practice leads naturally into the AI practice: assess fragmented data, establish trust and governance, integrate and modernize the data estate, activate analytics, and prepare data for enterprise AI. The next step in the journey is Artificial Intelligence, where trusted data is converted into intelligence and action.
Trusted data is where intelligence begins.
Build the data foundation your organization needs to make better decisions and scale AI with confidence.
The assessment covers data maturity and AI readiness: where your data is today, where it needs to go, and the roadmap between.
Phone and WhatsApp for both offices are listed below.