14 Topics
5 Days
70 Sessions
Programme Overview
Training Description
- Operations managers
- Supply-chain professionals
- Asset and facilities managers
- Data and business analysts
- IoT and digital-transformation professionals
- IT and technology managers
- Finance transformation professionals
- Risk-management professionals
- Strategic planning professionals
- Senior executives responsible for financial and operational performance
Session Objectives
- Understand the foundational concepts of IoT and its relevance to finance. Identify and integrate key IoT data streams for financial monitoring. Develop real-time dashboards for budget vs. actuals analysis. Implement alerts and triggers for proactive budget management. Apply predictive analytics to forecast spending and revenue.
About the Course
Sensor-Driven Finance: Real-Time Budgeting with IoT Data is an innovative professional training course designed to equip finance, budgeting, FP&A, operations, technology, and data professionals with the skills required to integrate Internet of Things (IoT) data into budgeting, forecasting, cost management, and financial decision-making.The course explores how real-time data from connected devices, sensors, equipment, vehicles, facilities, and operational systems can improve financial visibility and enable more responsive budgeting. Participants will learn how to connect operational sensor data with financial information, identify cost drivers, monitor resource consumption, improve forecasts, detect anomalies, and develop more dynamic approaches to budget management.
Curriculum & Topics
14 Topics | 70 Sessions
-
Workshop 1.1:
Introduction to IoT architecture and key components.
-
Workshop 1.2:
Understanding data types from sensors and connected devices.
-
Workshop 1.3:
Identifying financial data points within operational processes.
-
Workshop 1.4:
Case studies of IoT applications in various industries.
-
Workshop 1.5:
The strategic value of real-time operational data.
-
Workshop 2.1:
Methods for collecting data from a diverse network of devices.
-
Workshop 2.2:
Strategies for integrating IoT data with existing financial systems.
-
Workshop 2.3:
Using APIs and middleware to bridge data silos.
-
Workshop 2.4:
Data quality management and cleansing for financial accuracy.
-
Workshop 2.5:
Best practices for structuring and storing IoT data.
-
Workshop 3.1:
Principles of effective data visualization for finance.
-
Workshop 3.2:
Creating dynamic dashboards to track budget performance.
-
Workshop 3.3:
Using visual alerts and thresholds to highlight variances.
-
Workshop 3.4:
Customizing dashboards for different stakeholders and roles.
-
Workshop 3.5:
Tools and platforms for building and deploying dashboards.
-
Workshop 4.1:
Setting up automated alerts for budget overruns or under-spending.
-
Workshop 4.2:
Implementing a system for immediate corrective action.
-
Workshop 4.3:
The role of real-time data in improving resource allocation.
-
Workshop 4.4:
Managing spending limits through automated controls.
-
Workshop 4.5:
Creating a continuous feedback loop for budget adjustments.
-
Workshop 5.1:
Reimagining the traditional budgeting cycle with real-time data.
-
Workshop 5.2:
Reimagining the traditional budgeting cycle with real-time data.
-
Workshop 5.3:
Developing a flexible, rolling forecast model.
-
Workshop 5.4:
Creating a dynamic zero-based budgeting framework.
-
Workshop 5.5:
Moving from a top-down to a collaborative, data-centric process.
-
Workshop 6.1:
Introduction to predictive analytics and machine learning.
-
Workshop 6.2:
Using historical and real-time IoT data to forecast costs.
-
Workshop 6.3:
Identifying trends and patterns in consumption and spending.
-
Workshop 6.4:
Building models to predict asset maintenance costs.
-
Workshop 6.5:
The role of artificial intelligence in financial decision-making.
-
Workshop 7.1:
Using IoT data to identify and eliminate waste.
-
Workshop 7.2:
Optimizing energy consumption and utility costs.
-
Workshop 7.3:
Improving supply chain efficiency through real-time tracking.
-
Workshop 7.4:
Reducing maintenance and operational expenses.
-
Workshop 7.5:
Leveraging data to make smarter capital expenditure decisions.
-
Workshop 8.1:
The importance of securing IoT data at every point.
-
Workshop 8.2:
Establishing robust data governance policies.
-
Workshop 8.3:
Understanding compliance and regulatory requirements.
-
Workshop 8.4:
Strategies for managing user access and data privacy.
-
Workshop 8.5:
Risk mitigation for real-time financial systems.
-
Workshop 9.1:
Developing a strategic roadmap for your IoT finance project.
-
Workshop 9.2:
Building a business case for the technology investment.
-
Workshop 9.3:
Fostering collaboration between finance and IT departments.
-
Workshop 9.4:
Communicating the value and benefits to stakeholders.
-
Workshop 9.5:
Managing the human and cultural aspects of change.
-
Workshop 10.1:
Analysis of successful IoT implementations in manufacturing.
-
Workshop 10.2:
Lessons from the retail and logistics sectors.
-
Workshop 10.3:
Exploring the impact of IoT on facility management and real estate.
-
Workshop 10.4:
Examining applications in healthcare and public services.
-
Workshop 10.5:
A deep dive into ROI from real-time data initiatives.
-
Workshop 11.1:
An overview of different sensor types and their applications.
-
Workshop 11.2:
Understanding network protocols (e.g., Wi-Fi, Bluetooth, LoRaWAN).
-
Workshop 11.3:
The role of edge computing in processing data locally.
-
Workshop 11.4:
Choosing the right infrastructure for your organization.
-
Workshop 11.5:
The future of sensor technology and its financial implications.
-
Workshop 12.1:
A step-by-step guide to starting a small-scale pilot project.
-
Workshop 12.2:
Defining project scope, objectives, and success metrics.
-
Workshop 12.3:
Selecting the right technology and data points to monitor.
-
Workshop 12.4:
Running the pilot and collecting initial data.
-
Workshop 12.5:
Analyzing results and preparing for a larger rollout.
-
Workshop 13.1:
Incorporating new data streams into traditional financial models.
-
Workshop 13.2:
Creating new models that are built for real-time data.
-
Workshop 13.3:
The impact on financial statements and performance reporting.
-
Workshop 13.4:
Using IoT data to support investor relations and stakeholder communication.
-
Workshop 13.5:
Advanced techniques for valuing assets based on live data.
-
Workshop 14.1:
Connecting your IoT data to Enterprise Resource Planning (ERP) systems.
-
Workshop 14.2:
The benefits of a unified view of financial and operational data.
-
Workshop 14.3:
Automating workflows and business processes.
-
Workshop 14.4:
Ensuring data synchronization and integrity.
-
Workshop 14.5:
The future of a fully integrated digital enterprise.
