Introduction and challenges
In today’s rapidly evolving business landscape, organisations are under increasing pressure to improve efficiency and optimise operations. Advanced analytics services have emerged as a transformative tool, using techniques like machine learning, predictive modelling, and simulation to extract actionable insight from data and drive smarter decisions.
Whilst advanced analytics offers huge potential, it comes with challenges:
- Leveraging data effectively: How can businesses fully utilise data to identify inefficiencies and streamline processes?
- Selecting the right techniques: Which analytics approaches align best with business goals and deliver the most value?
- Seamless integrations: How can analytics be embedded in workflows and connected with enterprise-wide data for a complete picture?
Understanding operational drivers: Identifying hidden inefficiencies and connecting upstream and downstream data points requires a deep understanding of operations and the value chain.
How we can help
We offer a comprehensive suite of advanced analytics services tailored to optimise operations across all domains. Our expertise spans various use cases, including:
- Purchasing: spend analytics, supplier performance tracking
- Controlling & SG&A: cash control, P&L reporting
- HR: people analytics, skills mapping
- Manufacturing: industrial footprint simulation, value stream mapping with IoT, net requirements variation
- Supply Chain: end-to-end stock & flows visibility, batch traceability, S&OP simulations, Capacity planning, inventory policy, supply chain performance cockpit
- Logistics: flows tracking, assets tracking, warehouse performance management, network optimisation
- Client experience: CRM performance, key opinion leaders impact monitoring
- Master data management: data quality monitoring and alerting
- Sustainability: carbon footprint assessment, CSR reporting, product lifecycle assessment, sourcing simulations for new products