For data management, analysis, and handling, tools are necessary. In logistics, control of data in warehouses is key to obtaining, organising, and qualifying information.
This allows us to have a much more organised view of business data, and to set future goals in all areas of warehousing such as stock management, worker functionality, profit analysis…
The use of dashboards for the analysis and management of this data can be key in the logistics sector. It allows for a clear organisation of the information obtained and the ability to observe the progress being made towards set goals. Below, we will discuss the usefulness of these types of tools and how they work.
What is a dashboard?
A dashboard (also referred to as a control panel) is a tool that allows you to obtain information, organise and perform subsequent analysis by centralising the data from the KPIs needed to understand potential improvements in your business.
A Key Performance Indicator (KPI) can be defined as an indicator of key aspects of parts of your business. This data, once obtained and analysed, can be applied to many areas of a company, including logistics. Its objective would be to improve decisions and processes related to strategies implemented in various logistical fields, mainly focused on warehousing. It allows for the definition of a key strategy and the obtaining of data in an organised manner with future projection.
Therefore, it could be said that a dashboard applied to logistics allows for the measurement of data from the warehouse such as stock levels and quantities, target control, the productivity level of each worker, budget analysis, etc.
To be able to obtain and organise this data, the use of Big Data is necessary, as these types of tools contain a level of data beyond human capabilities.
How to create a logistics dashboard?
This data summary, which is collected, is found in a series of indicators concerning the state of a marked objective. Therefore, if you want to implement it in a company, you must first have a clear objective, a goal that can be achievable and can be obtained progressively.
The next step is data acquisition. This process involves incorporating practically all operations carried out in a warehouse. In this way, we should first obtain data on the raw materials or units that the company possesses, the warehouse inventory, and the relationship between sales volume and the available inventory. This entails knowing which products are the most profitable, whether all merchandise is sold at any given time, and so on.
After obtaining the base information, we move on to managing information on goods once their sale or transaction has been completed. This is done by monitoring the status of orders, their location, controlling timings and the condition in which the goods arrive, etc. By obtaining this data, it is also possible to monitor orders that are placed without any problems or incidents, how many are not fulfilled at the appropriate time (due to poor time management), and at what point the goods may have arrived damaged or inaccurate.
Once all this data has been obtained, it should be monitored visually or graphically, allowing for data analysis in an orderly and clear manner, observing their evolution at all times.
Advantages of incorporating it into your logistics
Among the advantages we can observe following the implementation of this type of data analysis and control, we could highlight the optimisation of data visualisation and the monitoring of the costs of each transaction.
Furthermore, it is of great interest that the data displayed on this platform can be obtained at any time through digital means, allowing for the immediacy of this data to be a key aspect.
Incorporating data analysis tools that are so visual allows you not only to understand and analyse basic warehouse data, as previously explained, but also to connect data that goes unnoticed, see hidden failures, or understand why certain strategies work or don't work.
In summary, incorporating a dashboard into your logistics allows for a visual or graphical analysis of your data. warehouse as to the progress they are making towards the fulfilment of an objective.
