About DataPillars

Practitioners bridging strategy and technical delivery.

DataPillars is a specialist data solutions company founded to make data improvement implementable, measurable and sustainable—from ownership and architecture to analytics, automation and AI.

Close to the business. Above core infrastructure. Focused on how data becomes action.

Our position

Between traditional consulting and pure technology implementation.

We diagnose the problem, shape the operating and technical solution, and help build the capability. A recommendation should be implementable. A technology solution should solve a measurable business problem.

Our central promise

From trusted data to better decisions, smarter processes and scalable AI.

Co-founders

Consultants WHO Implement

Mike Spence and Mohamed Abdo bring senior experience across data management, governance, engineering, analytics, operating models and AI enablement.

Mike Spence, Co-Founder of DataPillars

Co-Founder

Mike Spence

A data management and governance leader with more than 20 years of experience leading strategic data initiatives, building ownership models and embedding sustainable practices.

  • BSc, Computer Engineering — University of Stirling
  • Diploma in Legal Practice — University of Edinburgh
  • Data management, governance and strategic delivery
Mohamed Abdo, Co-Founder of DataPillars

Co-Founder

Mohamed Abdo

A data enablement leader with more than 12 years of experience across data management, governance, business intelligence and AI enablement in diversified organisations.

  • MSc, Engineering — Mansoura University
  • MBA — GSW, USA
  • CDMP, Data Engineering and AI Engineering credentials

Our practical philosophy

What makes the work useful after the project ends.

01

Business value first

Priorities are set against measurable outcomes, not a preferred platform or technology trend.

02

Governance that operates

Ownership, standards and controls are embedded into day-to-day work rather than left in policy documents.

03

Quality by design

We prevent poor data at source and in process, then monitor and manage the exceptions that remain.

04

AI grounded in reality

Useful AI needs trusted data, semantic context, approved tools, validation and appropriate human oversight.

UAE & GCC orientation

Enterprise modernisation with a pragmatic implementation lens.

We are shaped for organisations balancing ambitious data and AI agendas with existing platforms, operating processes and real adoption constraints.

Explore our capabilities

Start with clarity

Find the first high-value opportunity.

Begin with a complimentary Data Maturity & Opportunity Assessment for one selected business area.