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Data and Analytics

A Data Platform Your Business Can Actually Operate From.

Candent builds and modernizes enterprise data platforms on SAP Business Data Cloud, Datasphere, Databricks, BigQuery, and Snowflake connecting SAP and non-SAP data in a governed layer that powers trusted analytics and production-grade AI.

Our Capabilities

Every Layer of the Data Platform, Delivered as One Program.

SAP Business Data Cloud and Datasphere

The unified data layer connecting SAP S/4HANA, SAP BW, and non-SAP sources. We implement the business semantic model, data products, and federation layer so your analytics reflects the full business picture, not just what lives inside SAP.

Databricks on AWS and GCP

Lakehouse architecture for enterprises running large-scale analytics, ML, and AI workloads alongside SAP. We design the medallion architecture, build ingestion pipelines from SAP and operational systems, and connect Databricks to the enterprise BI layer.

BigQuery and Snowflake

Cloud data warehouse implementation and migration for enterprises consolidating on Google Cloud or a multi-cloud stack. Data modeling, pipeline build, and integration with SAP and third-party source systems.

Data Integration and Pipeline Engineering

ETL and ELT pipelines connecting SAP, operational databases, SaaS applications, and IoT sources into the target platform. Built with the data contracts and quality controls that make downstream AI and analytics reliable.

BI, Planning, and Executive Dashboards

SAP Analytics Cloud and Power BI implementation on top of the modernized data platform. Finance planning models, operational dashboards, and executive reporting built on one version of the truth.

Master Data Governance

SAP MDG implementation and data quality frameworks that keep the platform clean over time. Master data governance is not a one-time exercise. We build the process and tooling to sustain it.

Designed For

Three Situations Where Data Platform Modernization Makes Sense.

Candent’s data platform engagements are structured for organizations facing one of these realities:

Running an S/4HANA migration and rebuilding the analytics layer

The ECC data warehouse no longer fits. The new platform needs to be designed alongside the SAP program, not as a post-go-live afterthought.

Standing up AI and finding the data isn’t ready

AI agents and predictive models require clean, governed, connected data. Most enterprises discover the data gap after the AI pilot, not before. We fix the foundation.

Operating a fragmented data landscape across SAP and hyperscaler tools

Multiple platforms, inconsistent semantics, no single source of truth. Finance, operations, and supply chain all work from different numbers. The business has lost confidence in its own data.

Our Approach

We Assess the Data Landscape Before We Recommend a Platform.

No data platform engagement starts with a platform recommendation and a migration timeline. The right architecture depends on your SAP landscape, your non-SAP data sources, your analytics and AI requirements, and what your team can actually operate.

Candent begins with a structured data architecture assessment

The assessment closes with a platform architecture and delivery plan agreed before implementation begins.

Why Candent for Data Platform Modernization

The Data Platform Is Only as Good as Its Integration Architecture.

Most data platform failures are integration failures. Pipelines that break. Source systems that don’t connect cleanly. SAP data that doesn’t reconcile with operational data. A data platform built without integration expertise at the center will not stay reliable. Candent brings SAP delivery expertise and integration engineering into the same program. Our data architects work alongside our SAP and integration consultants from the start. The platform is designed to reflect how the business actually operates, not just how it looks in a data model.

Often Used Alongside

Data Platform Modernization Is One Part of a Larger Program.

Enterprises building toward autonomous operations need the data platform, the analytics layer, and the AI capability designed together. Clients often combine data platform modernization with:

AI Services: agentic AI and MLOps built on the governed data layer

SAP Analytics Cloud and BI Planning

Integration Services: source system connectivity and data pipeline architecture

SAP S/4HANA Transformation: data platform redesigned as part of the migration program

Managed Services: platform operations and continuous improvement after go-live

Your AI and Analytics Ambitions Depend on the Data Layer Under Them.