Value
The degree to which data provide advantages from their use.
- •Data assets directly contribute to achieving specific business objectives and key strategic goals.
- •Demonstrable and quantifiable Return on Investment (ROI) from data, analytics, and AI initiatives.
- •Improved strategic and operational decision-making leading to competitive advantage, revenue growth, and cost optimization.
- •Efficient resource allocation, optimized processes, and new revenue streams based on valuable data-driven insights.
- •Collection, storage, and management of data that provides no discernible business benefit, leading to wasted resources and data hoarding.
- •Missed business opportunities because the potential value of existing data assets is not understood, accessed, or realized.
- •Substantial investments in data infrastructure, analytics tools, or AI projects that do not yield expected returns or tangible business outcomes.
- •Difficulty in justifying data-related expenditures and initiatives to business stakeholders due to lack of clear value demonstration.
Grade
Logistics: Analyzing historical container throughput data and vessel turnaround times helps optimize resource allocation (labor, equipment), berth planning, and significantly improve terminal efficiency, leading to cost savings.
Marketing: Using customer purchase history data to personalize product recommendations results in a measurable increase in conversion rates and average order value.
Operations: Real-time tracking data for delivery vehicles is used to optimize routes, reduce fuel consumption, and improve on-time delivery performance, directly impacting customer satisfaction and operational costs.
Logistics: Collecting highly detailed equipment sensor data (e.g., vibration readings every second) that is never analyzed, used for predictive maintenance, or contributes to any business decision.
Marketing: Investing heavily in a complex customer segmentation model whose outputs are too difficult for the sales team to understand or act upon.
Operations: Generating numerous daily operational reports that are not read or used by anyone to improve processes.