Define Transportation Data & Analytics Opportunities to Accelerate Transformation

You have the data, but no unified strategy. Data is spread across the different departments, but a comprehensive strategy is needed to enable data to be a business driver for smarter, faster decisions.

Legacy systems limit your ability to act in real time. In transportation and logistics, where transparency and speed drive competitive advantage, outdated systems restrict access to real-time analytics, limiting the ability to optimize operations and respond proactively to disruptions.

Supply chains are digitizing quickly. As the industry digitizes, people want modern new tools, like AI, advanced analytics, and automation. However, without a proper foundation, the performance of these tools is restricted.

Our Advice

Critical Insight

Transportation and Logistics is a data-intensive industry where speed and efficiency define competitiveness. Every shipment, receipt, and mile generates a flood of data. But data without analytics is like roadways without traffic lights: cars (data) flood the system, yet without traffic lights (analytics) to coordinate flow, speed collapses into congestion and chaos.

Impact and Result

Understand and validate your strategic goals; classify and map them to key business drivers and identify the business capabilities and processes that support the realization of those goals.

Highlight data and analytic use cases and goals that fulfill the business objectives, then map these data initiatives to the strategic goals and prioritize them.

Classify business data requirements and highlight existing data challenges. Discuss the next steps for the data strategy to enhance data maturity.

Define Transportation Data & Analytics Opportunities to Accelerate Transformation Research & Tools

1. Define Transportation Data & Analytics Opportunities to Accelerate Transformation Deck – Establish a data strategy by aligning initiatives with strategic business goals.

Align strategic goals with key business drivers and supporting capabilities. Use Info-Tech’s tools to define and prioritize data initiatives, and use cases to support them, to ensure you can drive measurable outcomes for your organization. Assess data requirements and challenges to inform your next steps, then formalize the mandate to launch your data strategy.

2. Transportation Capability-to-Data Matrix Workbook – This workbook supports data strategy prioritization and capability assessment to help identify gaps and define the path to an ideal future state.

This Excel workbook is used to help transportation leaders prioritize strategic goals and assess the value of data by mapping current challenges to existing capabilities, evaluating data capability maturity, and identifying what use cases can assist in reaching the desired future state.

3. Transportation Data Mapping Template – A collaborative working document to visually map your technology ecosystem and data flow.

This PowerPoint functions as a collaborative document to visually map your transportation technology ecosystem and the flow of data for the data mapping exercise.

4. Transportation Capability Alignment Presentation Template – Illustrate business capabilities and their strategic role within a presentation.

This PowerPoint visually outlines business capabilities and their strategic contribution to the broader data strategy.

Unify data for smarter, faster, resilient logistics.

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What Is a Blueprint?

A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.

Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.

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Guided Implementation 1: Define Your Data Requirements

Call 1: Define and prioritize strategic goals.
Call 2: Map business drivers to goals.
Call 3: Identify focused business capabilities and map them to drivers and goals.
Call 4: Create and map data-related goals to fulfill business goals.
Call 5: Ideate analytical use cases to help reach ideal state.

Guided Implementation 2: Conduct Your Data Discovery

Call 1: Understand and classify data capability maturity.
Call 2: Identify challenges through data mapping.
Call 3: Map data capabilities and challenges to goals.
Call 4: Discuss data strategy next steps.

Author

Michael Adams

Contributors

Paula Wagner, CIO, Mansfield Energy Corporation
Vincent Tung, Global Head of Quality and Compliance, WorldNet International