How do you unify logistics data for better decision making?

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Logistics data is essential for managing the flow of goods, services, and information across the supply chain. However, logistics data can also be fragmented, inconsistent, and siloed, making it hard to gain a holistic view of the logistics performance and identify opportunities for improvement. How do you unify logistics data for better decision making? Here are some tips to help you integrate, standardize, and analyze your logistics data.

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1 Identify your data sources

The first step to unify logistics data is to identify where your data comes from and what types of data you have. You may have data from internal systems, such as enterprise resource planning (ERP), warehouse management systems (WMS), or transportation management systems (TMS), as well as external sources, such as suppliers, customers, carriers, or third-party logistics providers (3PLs). You may also have data from different formats, such as structured, unstructured, or semi-structured. You need to map out your data sources and understand their characteristics, such as frequency, accuracy, reliability, and relevance.

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Michael King

Freelancer, Writer, Entrepreneur, SEO, Certified AI Specialist, Production Planner, Supply Chain Management Expert, and Lean Six Sigma Certified Black Belt.
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A good understanding of your data sources and and how they are categorized will better help determine how to collect, store, and analyze logistics data more effectively. It's important to establish clear data management guidelines to ensure consistent data quality and integrity. This may include creating certain responsibilities for data owners, implementing data validation procedures, and creating safeguards to better protect confidential data. Once your logistics data sources are organized into a planned structure, you can better begin utilizing this information.

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2 Integrate your data

The next step is to integrate your data from different sources and formats into a unified platform or database. This can be done using various methods, such as extract, transform, and load (ETL), application programming interfaces (APIs), or cloud-based solutions. The goal is to create a single source of truth for your logistics data that can be accessed and shared by different stakeholders and systems. Integrating your data can help you eliminate data silos, reduce data duplication, and improve data quality and consistency.

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Eneyufuo Oketta

Data Analyst | Business Intelligence
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Spot on! Integrating your logistics data with other parts of the business is absolutely critical. Many businesses have this challenge, because logistics data is typically siloed, and access can be limiting. There’s so much information and insight to be unlocked through integration. In my opinion this is one of the most important steps to make good use of your data.

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Michael King

Freelancer, Writer, Entrepreneur, SEO, Certified AI Specialist, Production Planner, Supply Chain Management Expert, and Lean Six Sigma Certified Black Belt.
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By combining your data in an integrated database, you can help simplify your logistics tasks. For example, with a unified system, you can more easily monitor the progress of shipments, inventory levels across several distribution centers, and analyze historical data to identify trends.

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3 Standardize your data

Another step is to standardize your data according to common definitions, metrics, and formats. This can help you ensure that your data is comparable, compatible, and compliant across the supply chain. For example, you can use standardized codes, such as the Harmonized System (HS) for customs classification, the International Air Transport Association (IATA) for air cargo, or the International Organization for Standardization (ISO) for quality management. You can also use standardized units, such as kilograms, liters, or cubic meters, for measuring weight, volume, or capacity. Standardizing your data can help you simplify data analysis and reporting, as well as facilitate data exchange and collaboration.

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Michael King

Freelancer, Writer, Entrepreneur, SEO, Certified AI Specialist, Production Planner, Supply Chain Management Expert, and Lean Six Sigma Certified Black Belt.
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Standardizing data can also help in reducing errors, while simultaneously improving supply chain efficiency. By using harmonized codes, a method for identifying traded goods, you can assure that all parties involved in the supply chain are on the same page when it comes to describing products, quantities, and requirements. This uniformity not only simplifies communication but also minimizes the risk of confusion. Standardized data allows easier integration with multiple software systems and platforms used across the supply chain.

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4 Analyze your data

The final step is to analyze your data using various tools and techniques, such as dashboards, reports, charts, graphs, or key performance indicators (KPIs). The aim is to generate insights and recommendations from your data that can help you improve your logistics decision making. For example, you can use your data to monitor and evaluate your logistics performance, such as service levels, costs, efficiency, or sustainability. You can also use your data to identify and solve problems, such as bottlenecks, delays, or errors. You can also use your data to optimize and innovate your logistics processes, such as routing, scheduling, or inventory management.

Unifying logistics data is not an easy task, but it can bring significant benefits for your logistics management. By integrating, standardizing, and analyzing your logistics data, you can gain a comprehensive and accurate view of your supply chain, enhance your visibility and control, and increase your agility and competitiveness.

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Michael King

Freelancer, Writer, Entrepreneur, SEO, Certified AI Specialist, Production Planner, Supply Chain Management Expert, and Lean Six Sigma Certified Black Belt.
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Data analytics can also be utilized in logistics by forecasting future trends and demand patterns within the industry. By analyzing past data and applying predictive analytics, you can better forecast changes in customer demand or market conditions. This allows you the ability to anticipate and adapt your strategies, efficiently allocate resources, and enhance collaboration within your logistics network.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How do you unify logistics data for better decision making?

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5

1 Identify your data sources

2 Integrate your data

3 Standardize your data

4 Analyze your data

5 Here’s what else to consider

Logistics Management

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How do you unify logistics data for better decision making?

1

2

3

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5

1 Identify your data sources

2 Integrate your data

3 Standardize your data

4 Analyze your data

5 Here’s what else to consider

Logistics Management

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