Ankit Batra

Ankit is an analytics lead and director within the Advisory practice at KPMG. He is an accomplished management consulting professional who specializes in transforming data into actionable insights that drive business decisions. A dynamic and motivated analytics and AI/ML practitioner, Ankit has a proven track record of leading strategic initiatives from concept to deployment, fostering strong client relationships, and mentoring teams to success.

Ankit has spearheaded numerous data and analytics programs, including strategy development, reporting model design, process optimization, and full life-cycle implementations. Known for exceptional problem-solving skills and fact-based decision-making under pressure, Ankit is a trusted resource in clients’ transformation journeys.

Recent highlights of Ankit’s work include:

• Led multiple SAP BW, HANA, and BW/4HANA implementations to enhance process visibility and align with strategic objectives, including global rollouts across 30+ geographies with diverse operational and regulatory requirements.
• Established a centralized data repository across 14 ERP systems to optimize demand planning, operational transfer pricing, and margin reporting. Delivered a 32% reduction in excess inventory and improved margin accuracy within two years.
• Defined SAP HANA business process modernization strategies, including agile project plans, risk mitigation measures, and SAP Best Practices gap analysis for S/4HANA transitions.
• Managed KPI standardization across business units and implemented contribution accounting, functional P&L, and value-driver KPIs for a large-scale banking client.
• Designed composite data models for unified reporting using SAP Data Services and implemented SAP BPC to streamline budgeting and consolidation processes.
• Developed guidelines for data harmonization, security, lifecycle management, governance, and analytics extraction.
• Directed global digital transformation for a life sciences client, including data acquisition, modeling, and consumption strategies. Built an on-premise Hadoop and Spark cluster and deployed advanced ML models (SVM, GVM, Markov-chain, random forest) for production and supply chain optimization.