We Define Objectives and Goals

• Clearly articulate what you want to achieve with Supply Chain analytics. Identify specific KPIs (Key Performance Indicators) that align with your business objectives in a collaborative way

Assess Data Availability and Quality

• Understand the data sources within your Supply Chain, such as ERP, WMS, TMS and CRM systems
• Evaluate the quality of your data accuracy, completeness and consistency are crucial

Select Suitable Analytics Tools and Technologies

• Choose tools that suit your organization’s needs. Take into account elements such as the ability to scale, user-friendliness and the capacity for seamless integration
• Explore data analytics platforms, machine learning and business intelligence tools

Integrate Data Sources

• Ensure seamless data flow between different systems. Integration allows for a holistic view of your Supply Chain

Build Analytical Models

•  Create models that derive valuable insights from your data. These models can range from descriptive (what happened) to predictive (what might happen) and prescriptive (what actions to take) analytics

Deploy Analytics Solutions Across Operations

• Implement the chosen analytics solutions across your Supply Chain processes. This includes planning, procurement, inventory management, logistics and more

Monitor and Refine

• Continuously monitor the performance of your Analytics Solutions
• Refine and adjust as needed based on real-world outcomes and changing business conditions

Enable Data Driven Decision Making

• Foster a data-driven culture within your organization. Motivate stakeholders to depend on analytical data for making decisions that are strategic, tactical and operational in nature