The backbone of Infocepts’ success rests with its globally recognized, innovative support model, which is concentrated on aggressively building depth & breadth of expertise within the key components of Data & AI success, which we refer to as ‘Foundational Components’.
Infocepts Foundational Components are supported by 4 world-class Centers of excellence, whose sole focus is to serve as a ‘lighthouse’, guiding both our Clients & our Foundational Components teams. This unique system of balance ensures that – at all times – our clients & our associates have available to them, the most well-versed understanding of today, while also being able to ‘see into the future’ and plan for what’s coming tomorrow.
Centers of Excellence
Cloud & Data
Engineering
We leverage modern cloud-native tools and engineering skills to develop enterprise-scale data platforms & applications
Business
Consulting
We harness consultative, domain, digital, and data science expertise to craft and implement a Data & AI Strategy tailored to your needs
Analytics & Data
Management
We offer end-to-end expertise to build next-gen data & analytics solutions using proven best-of-breed platforms
Service
Management
We transform large-scale D&A initiatives using strong program governance practices & agile-at-scale principles
Foundational Components
Our Capabilities in Action
Data Consulting
Experience the difference with Infocepts’ top-tier data consulting services. The Consulting Report recently honored our Chief Innovation Officer as one of the Top 25 Technology Consultants, showcasing our leadership in the field.
Embedded Analytics
Deliver insights where they matter most with embedded analytics. By integrating analytics into applications and portals, users gain instant access to vital information. Discover how Infocepts’ embedded analytics increased a retail store’s sales by 30%.
Data Design
Transform your data into actionable insights with robust data design. A clear and efficient data architecture is key to unlocking your data’s full potential. Learn best practices and how to navigate between popular architectures like data warehouses, data lakes, data hubs, lakehouses, and data mesh.