Our value proposal in Data&AI resides in three layers:

Building Blocks, comprising the proof of value on Strategy, Technology, Governance and Business Knowledge
Services, ranging from advisory at all levels (business use cases, tech or governance), delivery of new Data&AI solutions, application maintenance (AM) or centers of excellence (CoE) building
Capacities, both Data, AI and GenAI

Our professional services will help business and Business areas, Chief Information Officers and Chief Data/Analytics Officers on developing a comprehensive Data&AI strategy with a clear roadmap, creating new Azure Cloud ecosystem with IaaS/Paas/SaaS services, developing applications using services such as Fabric, Power BI or OpenAI, modernizing an existing legacy platform into Azure, or building maintenance and CoE services to optimize the operation of Data&AI applications. Based on our deep business and technical knowledge, some of the lines we provide are:

Build Business Architectures addressing the challenges from a finance, procurement or industry operations perspective.
Customer 360º view to put the customer or the employee in the center of analytics, with Master Data Management platforms.
Data/BI Governance to rationalize the data-reporting catalogue and transform BI exploitation towards self-service, helping in the cultural adoption.
Knowledge Governance to join data, document and audiovisual silos to enhance the outcome of AI chatbots and GenAI use cases.
Sectorial Data Spaces to enable data sharing and interoperability between agents in health, tourism, financial services…

With our extensive experience in the implementation of Data & AI projects in different industries, and our partnership with Microsoft for accelerating the Azure cloud strategy path, our value proposition, services and capabilities provide value to our customers. The expected benefits from our solutions are:

Increase sales, optimize costs and generate new business models using our expert knowledge in core business processes
Innovate in Use Cases starting with minimum viable products in Azure cloud platform to meet customer needs.
Speed up the delivery of data ingestion, transformation and insights, using our own accelerators built and tested in Azure cloud
Reduce efforts on migration strategies to Azure, taking advantage of our methodology, accelerators, best Practices, and target architectures.

Data&AI Journey & Cloud Adoption by NFQ

NFQ

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