Gartner Expert

Carlie Idoine

VP Analyst

Carlie Idoine is a Vice President Analyst for Data, Analytics & AI at Gartner. She provides a unique blend of business and industry knowledge to lead successful efforts to integrate new technologies into effective business solutions. Her current areas of focus include analytics and AI strategy and programs, organization, software portfolios, and application of advanced analytics and AI to complex business problems. Of particular focus is the intersection of markets, roles and process across data, analytics and software engineering that have historically been separate but are now colliding, enabling ecosystems and composable approaches to the application of these technologies.

Previous experience

Prior to joining Gartner, Ms. Idoine was the BI consultant and domain expert for the Business Intelligence Development Services Team within the Enterprise Architecture Organization at Progressive Insurance. Her responsibilities included planning and implementing a BI strategy, including BICC development, BI and analytics tool portfolio management, and planning and support of the organization, process and tools related to BI and analytics.

Professional background

Progressive Insurance, IT Systems Analyst Consultant, 18 years

Roadway Express, Sr. Operations Research Consultant, 6 years

Areas of coverage
  • Data Management Solutions

  • Analytics and Artificial Intelligence

  • Data and Analytics Leaders and Programs

Education

B.B.A., Computer Science/Management Science, Kent State University

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Top Issues That I Help Clients Address

01

Evaluate analytics and data science/machine learning tools and vendors including strengths, weaknesses, comparisons

02

Define data, analytics, data science/machine learning and AI trends, including technology, organization and process

03

Build and support an ecosystem, organization and architecture for data, analytics, data science/machine learning and AI

04

Leverage and support self-service approaches and empowerment of business technologists

05

Develop and implement a data and analytics strategy and get started with data science/machine learning and AI