Statistical and machine learning models that forecast demand, predict failures, score risk, and surface anomalies before they become incidents.
Optimization models that recommend the best action given constraints — production sequencing, inventory positioning, pricing, and resource allocation.
Analytics built inside SAP Analytics Cloud and SAP Datasphere, with live or replicated data from S/4HANA. No data duplication, no disconnected BI layer.
: Models deployed on Databricks, BigQuery, and Snowflake and connected to SAP and operational systems through governed data pipelines.
Model monitoring, retraining pipelines, and drift detection so your models stay accurate as business conditions change.
Governance framework, tooling, team structure, and KPIs for organizations building a permanent analytics capability internally.
demand forecasting, lead time prediction, safety stock optimization, and supplier risk scoring
predictive maintenance, OEE forecasting, quality failure prediction, and production scheduling optimization
cash flow forecasting, working capital optimization, credit risk scoring, and anomaly detection for audit
spend analytics, contract compliance scoring, and supplier performance prediction
churn prediction, next-best-action recommendation, and pipeline conversion scoring
attrition risk modeling and workforce demand forecasting
We assess and remediate the data layer before building models. A prediction is only as reliable as its training data.
Models embedded in SAP Analytics Cloud and Datasphere eliminate the maintenance overhead of a disconnected analytics layer.
We design model monitoring and retraining into the engagement from day one, not as a phase two afterthought.
Models are designed around decisions, not metrics. Each model has a named business outcome and a defined integration point in the process.
The same team handles data engineering, model development, platform configuration, and SAP integration. No handoffs between firms.
Many clients combine CoE-as-a-Service with Candent’s SAP AMS practice. Incident and change management handled by AMS, with CoE providing architecture oversight, roadmap governance, and structured improvement. Others bring in CoE-as-a-Service independently when they have a capable support team but lack senior SAP architecture and governance capacity.
