Skip to main content

💎 Value Added

The Current Challenge for BI Teams​

With today's tooling, BI teams spend the majority of their time building and maintaining the data pipeline rather than delivering value to the business:

  • Extraction — connecting to source systems, managing APIs and interfaces
  • Integration — orchestrating data flows, handling failures and retries
  • Transformation — cleansing, conforming, and structuring raw data
  • Data Modelling — building and maintaining semantic layers, cubes, and dimensions

The consequence is a double constraint:

  • Limited time and bandwidth to provide support, insights, and analysis to business teams
  • Time-to-customer — the delay between a business need and a delivered analytical answer — is frequently reported as too long

Value Added — From Maintenance to Insight

A New Opportunity with AI@CDS​

Our approach and AI accelerators are designed to fundamentally change this equation — creating a new opportunity for both BI and Business teams.

AI provides significant gains across the entire pipeline:

  • Automated extraction and replication through the 4IT CDS ABAP Interface
  • AI-generated bronze / silver / gold layers, reducing modelling effort dramatically
  • Continuous maintenance through AI agents that adapt semantic layers as CDS views evolve

Ontology brings exceptional new capabilities for the Business:

  • Business users can explore data through natural language — no pre-built reports required
  • The Azure Fabric Ontology maps business meaning to data, enabling discovery and insight that goes far beyond traditional dashboards
  • Ad hoc questions that would previously require weeks of development can be answered in minutes

The outcome:

  • Time-to-customer is reduced — business needs are addressed faster
  • BI teams become champions for the Business — freed from routine maintenance, they can focus on high-value advisory, insight delivery, and strategic analytics
  • Existing BI expertise is amplified, not replaced — the team leads the adoption and governance of AI-powered analytics

The shift is not about doing the same things faster — it is about doing things that were not possible before.