Transportation and supply chain operations involve complex workflows and several stakeholders to manage. The outcome is an ecosystem in which companies can leverage data to find and solve inefficiencies. This article will point to technology best practices that can boost the use of data to improve business efficiency.
By João Ricardo Gubolin, Chief Business Development Officer · January 25, 2023.
The first aspect is all the data outputs transportation and supply chain operations have. These often involve hardware that captures data in operations, stakeholders participating in revenue-generating activities, or back-office staff supporting core activities. With this in mind, companies can now look at where this data is stored and how it can be used to find inefficiencies. For example, data points that capture departure, arrival, and loading times can display trends and key performance indicators (KPIs), so management can see which factors impact delay times.
After individuals have identified relevant information channels to find inefficiencies, it is time to break data silos. Data silos are the different niches where data is located and not shared among other stakeholders, that can then use this information to solve inefficiencies in the organization. The first step to breaking silos is to find them. Second, data must flow to the people with knowledge and authority to make decisions to solve inefficiencies in the organization.
Once data starts flowing through the appropriate channels to solve transportation and supply chain inefficiencies, information technology (IT) staff can boost information relevance. One factor in achieving this is to improve the periodicity in which information is updated. Often, the sooner relevant data reaches the appropriate channels, corrective actions gain efficiency. Besides the company data going to the correct people at the right time, boosting organization efficiency, what other data assets can IT supply to improve this process? Industry and company benchmarks point to trends that indicate sooner than later when action is necessary to solve inefficiencies.
Nowadays, data is relevant to any company. Especially in transportation and supply chain companies that run into complex business workflows, data is resourceful in finding and solving operations’ inefficiencies. Stakeholders must break data silos to enable information flow between the appropriate professionals that can find and take corrective action to improve operations’ efficiencies. Then, IT departments can connect data outputs and silos to further improve their relevance by updating information frequently and getting industry and company benchmarks to leverage improvements.
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