Enterprise data management

Is your data ready for artificial intelligence?

Business leaders use artificial intelligence (AI) to reduce operational costs, increase customer service quality or alleviate the burden of rote tasks within their workforce. But the results often fall short of expectations. Leaders need a one-path, two-track approach to refresh their data strategy while pursuing select proofs of concept to enhance their ability to utilize insights to drive business processes through data-driven decision-making. They also need a strategic partner to meet them at their data management maturity level and help them advance their journey.

Having a vision and pursuing the right initiatives determines the success of a data, analytics and AI strategy. CGI's Value Creation Framework strategically aligns initiatives to business value and provides a dynamic road that adapts quickly to changes in your organization's priorities.

Our data management services

Managed data lake

• Centralized data lake for inter LOB access
• Regulatory and risk specific data warehouses
• LOB managed data stores (distributed and localized data)
• Third party data sources integration

Data fabric

• Metadata driven self-integrating mesh to fabric layer
• Data APIs for app consumption
• Enterprise consumption layers
• Metadata management - governance

Multi-domain master data management

• Multi-dimensional master data models
• Semantic models for master data

Self-service analytics

• Self-serviceable tools for data wrangling and BI
• Real-time analytics and event-triggered systems
• Experimental areas on production data layer
• Advanced analytic refineries

Cloud-first data strategy

• Cloud data stores
• Hybrid cloud strategies
• What’s on-prem
• What’s on cloud
• Use case driven approach

Defining your organization's data, analytics and AI strategy

Identifying internal and external information that is critical to your organization with a critical information map prioritizes your data efforts by mapping it to the most substantial business value and determining if your data is ready for artificial intelligence (AI).

CGI's maturity assessment makes it clear what new capabilities are needed, what needs improvement and what an organization should stop doing. With a clear vision and strategy, organizations can advance an outcomes-driven go-to-market posture that will drive business innovation

Experience the benefits:

• Improve decision-making: Access fast insights from data and analytics to make better-informed, cost-efficient decisions and drive business value.
• Discover unrealized efficiencies: Increase performance and operating efficiency with a data-driven allocation of computing resources and DataOps that takes an automated approach to data and processing
• Deliver on organizational goals: Unlock the value of data with advanced analytics and AI to create growth opportunities, enhance customer or citizen experiences and drive innovation.