Paul Barnabas | Data & AI Consulting

Data clarity. AI that runs. Training that sticks.

This is a specialist practice built around three connected disciplines: BI architecture that holds up under real load, AI workflow design with appropriate guardrails, and MCT-led training that creates capability rather than attendance records. Clients engage for data lake migration, analytics modernisation, AI agent deployment, and structured training programmes across Power BI, Microsoft Fabric, Copilot, and SAP Analytics.

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Data & AI Consulting | MCT Training

Available remotely for clients and training programmes globally.

Current signal

The workflow comes before the tool. If the process is unclear, the dashboard or model will reflect that ambiguity, not hide it.

400%faster query performance

78%support issues resolved without escalation

22%less downtime and better fraud detection

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Core value

The three disciplines behind this practice

Most engagements sit at the intersection of data foundations, BI delivery, and AI enablement. The work varies by client, but the approach stays consistent: understand the actual problem, build the right layer, and leave something the team can maintain.

AI that operates with clear boundaries

AI Agentic Workflows

AI workflow design that maps where the model should act and where it should hand off. The goal is not full autonomy; it is automation that still makes room for human review.

Decision steps mapped before the model gets involved
Repeatable workflow logic with clear handoffs

Reporting that the business can trust

BI Deployment

End-to-end BI architecture that makes data easier to trust and faster to act on. Semantic models align to the business vocabulary. Dashboards are built to last, not just to impress at launch.

Semantic models built around the business vocabulary
Dashboards that show what matters without noise

Microsoft-certified training delivery

Professional Training

MCT-led training designed around job roles and real workflows, not curriculum coverage. Sessions on Power BI, Fabric, Copilot, and AI-assisted development are structured for adoption, not applause.

Workshops scoped to your team's actual role and skill level
Hands-on sessions for Power BI, Fabric, Copilot, and AI workflows

Cloud data architecture and migration

Enterprise Data Lake Migration

Azure-based data migration that moves the reporting layer into a modern structure without importing the same technical debt into a new platform. Layered data design, traceability, and a foundation that supports analytics, not just storage.

Cleaner source-to-reporting flow
Layered data design with traceability

Proof layer

Outcomes from the work

Measured results across BI, AI workflow, and training engagements.

400%faster query performance

78%support issues resolved without escalation

22%less downtime and better fraud detection

500+users reached through semantic models

50+data engineers certified

40%weekly manual processing reduced

Social proof

What clients say

Verified client and participant quotes belong here. The structure is ready so the final copy can be swapped in without redesigning the page.

architecture

[Client Name]

[Placeholder: client quote about the BI architecture or data lake engagement. Should reference the specific outcome, not general satisfaction.]

[Title], [Organisation]

training

[Participant or Sponsor Name]

[Placeholder: MCT training participant or sponsor quote. Should reference team capability, not just course quality.]

[Title], [Organisation]

consulting

[Client Name]

[Placeholder: AI workflow or consulting engagement quote. Should reference measurable change, not general enthusiasm.]

[Title], [Organisation]

Featured case studies

Selected engagements

Four projects across data migration, AI automation, real-time analytics, and enterprise upskilling. Each entry leads with the problem and closes with a measurable outcome.

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reducing query times by 400%

Enterprise Data Lake Migration

A fragmented, on-premise reporting setup was migrated to a unified Azure Data Lake architecture. The redesign eliminated redundant query logic across teams and enabled real-time BI access at enterprise scale.

achieving a 78% resolution rate without human intervention

Agentic Workflow Automation

AI agents were configured to parse, classify, and respond to Level 1 support tickets at volume. Human review remained part of the workflow for ambiguous and escalation-level cases, while automation handled the predictable load.

Featured training

Courses available for teams and individuals

Thirteen course topics across Power BI, Microsoft Fabric, Copilot, AI-assisted development, and SAP Analytics. Delivered as MCT-led workshops for enterprise teams or as targeted upskilling sessions, locally and remotely.