Cloud consultant looking at data on several monitors

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 enterprise 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 enterprise data management services

Managed data lake
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

 

Group of professionals having a discussion around a conference table

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 enterprise data management 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.

The top trends affecting enterprise

#1
improving data quality is the most important data
strategy priority for the next three years
>50%
say their organization does not have
a holistic data strategy
58%
plan to improve business decision-making
over the next three years
50%
are planning for automation as a key initiative to advance
their data strategy over the next three years
68%
are investigating, at proof of concept or
are implementing AI

Ready to learn more about our enterprise data management services?

We help accelerate your data and analytics journey through modernizing enterprise data platforms. We offer independent, technology-agnostic solutions that are practical, scalable and data-driven. Our modern, agile data management accelerates business outcomes in days, not months, focusing on clean data and real-time insights. To learn more about our enterprise data management services, contact us.