Gartner Expert

Joao Tapadinhas

VP Analyst

Joao Tapadinhas is a Research Director at Gartner, in the Business Analytics and Data Science team. He helps data and analytics leaders architect, implement and evolve their modern BI and analytics platforms, to empower business users and increase the impact from data. Of particular interest is the exploration of citizen data science to augment self-service analytics capabilities and simplify access to data science in organizations. He also covers cloud BI, big data discovery, mobile BI and business users' engagement with analytics.

Roles and responsibility

Data and analytics leaders and their teams

Business units using BI and analytics

CIO wanting to start or evolve analytics in the organization

Previous experience

Mr. Tapadinhas joined Gartner after two years at Portugal Telecom Information Systems, acting as consulting practice director for BI and analytics, enterprise content management and enterprise application integration. Prior to that, he led a team of BI and analytics for 11 years, at Portugal Telecom, evolving the company's analytics maturity from the widespread use of spreadsheets as BI standard, to a comprehensive implementation of self-service analytics capabilities and broad deployment of data science use cases. He was also head of IT for Dun & Bradstreet Portugal for four years, helping the business evolve from being a data supplier, to offering analytics as a service to customers.

Professional background

Portugal Telecom Information Systems

Consulting Practice Director

Portugal Telecom Mobile

Head of Business Intelligence and Analytics

Dun & Bradstreet

Head of IT

Areas of coverage

Data and Analytics Leaders

Analytics, BI and Data Science Solutions

Data and Analytics Programs and Practices

Education

Electrical and Computer Engineering, Technical University of Lisbon

Top Issues That I Help Clients Address

1How to architect a modern BI and analytics platform?

2Strengths and limitations of BI and analytics platforms

3How to deploy and leverage cloud business analytics?

4How to leverage Data Discovery for self-service analytics?

5How to leverage citizen data science and big data discovery?