Direction & architecture
Business priorities, current-state assessment, target architecture, investment roadmap and a governed improvement backlog.
The flagship engagement
Your complete data capability—personally built and operated.
A Managed Data Practice combines senior data leadership, hands-on implementation and continuous operation. It is designed for organizations that want valuable data assets but do not want to recruit and manage a complete data department.
One accountable practice
From source systems to decisions.
The exact scope follows business need. These capabilities work together as one maintained operating practice rather than isolated technical projects.
Integration & engineering
Source connections, ingestion, transformations, pipelines, storage, testing, monitoring and recovery procedures.
Models & definitions
Reusable data models, shared KPI definitions, documented logic, lineage and consistent information across reports.
Analytics & reporting
Power BI environments, semantic models, executive dashboards, operational reporting and usable self-service foundations.
Quality & governance
Ownership, validation, access, issue management, quality controls, documentation and practical operating routines.
Operation & improvement
Monitoring, maintenance, troubleshooting, enhancements, adoption support and regular prioritization with leadership.
How it works
One relationship across the complete lifecycle.
Establish the practice
Clarify the decisions that need better information. Inventory systems and existing reports. Identify risks, constraints and the highest-value initial use cases. Define the architecture, controls, roadmap and measures of success.
Build the first valuable assets
Create the integrations, data structures, models, dashboards, quality checks and documentation required for the first priorities. Validate the result with the people who understand and use the information.
Operate the environment
Monitor scheduled processes, maintain models and reports, resolve failures and data issues, manage agreed access and keep technical and business documentation current.
Improve deliberately
Maintain a transparent backlog, review value with leadership and add sources, measures, automation or reporting only when the business case justifies the work.
Clear accountability
What I own—and what your business owns.
I perform the agreed technical and data-management work directly. Your organization does not need to create a technical team for me to manage.
Your leaders remain accountable for business priorities, policies and definitions. Subject-matter experts provide context that cannot be inferred from a database.
I am responsible for
- Technical design and implementation
- Operation and maintenance
- Quality and governance mechanisms
- Documentation and transparency
- Recommendations and improvement delivery
Your organization provides
- An accountable executive sponsor
- System access and vendor cooperation
- Business subject-matter expertise
- Decisions on priorities and policies
- Timely review and acceptance
“He has the ability to handle extremely difficult and complex problems either in a team manner or on his own. He is a born leader in whatever task he is given and perseveres until a solid solution is found.”Linda Campbell
Former QA Lead, Agriculture Financial Services CorporationLinkedIn recommendation
Client-owned assets
The capability belongs to your organization.
Your company retains ownership of its data, environments, code, pipelines, models, reports and documentation, subject to clearly disclosed third-party licences. The practice is designed to reduce dependency through source control, deployment records, operating procedures and recoverable configurations.
Start with one important business priority.
The first engagement can be focused. We identify a meaningful result, build the right foundation and expand only when the evidence supports it.