AI should amplify enterprise analytics — not bypass the need for discovery, trustworthy data, and governed architectural foundations. We position AI where it adds measurable value to insight delivery.
The future of enterprise analytics isn't just reporting what happened — it's using AI to predict, recommend, and automate decisions at scale. I bring practical AI implementation grounded in real business data.
Embedding LLMs into analytics workflows — natural language querying of your data, AI-generated narrative insights, and intelligent report summarization that executives can actually use.
Azure OpenAI Copilot NL2SQL GenAIBuilding statistical and machine learning models on top of your SAP® software and ERP data environments — demand forecasting, churn prediction, inventory optimization, and financial scenario modeling.
Regression Time Series Classification Azure MLNext-generation dashboards in SAP® Analytics Cloud and Power BI that go beyond charts — embedding AI anomaly detection, smart alerts, and predictive KPIs directly into your reporting layer.
SAP® Analytics Cloud AI Power BI Copilot Anomaly DetectionAI-driven workflow automation layered onto business processes — smart exception handling in OTC and P2P, automated variance commentary, and AI-assisted close processes in finance.
Process Mining RPA + AI SAP® AI CoreAI is only as good as the data beneath it. I assess and remediate data quality issues, build the clean data foundations, and architect the pipelines that make AI models trustworthy.
Data Profiling MDM Data Governance FabricNot every organization is ready for AI Day 1. I help you assess your data maturity, prioritize high-value AI use cases, and build a practical roadmap from descriptive analytics to full AI deployment.
Maturity Assessment Use Case Prioritization ROI ModelingLet's start with a discovery conversation focused on how your organization operates, where insight breaks down, and what an effective analytics foundation should enable next.
Start the Conversation