Aprende a mejorar el rendimiento actuando sobre tus datos. Este documento proporciona información sobre los 7 informes más eficaces para mejorar el rendimiento en las empresas marítimas.
7 most efficient Analytics Reports for enhancing Performance
The volume of data is exploding and places heavy demands on shipping companies to navigate in the data sets to identify the right data. A positive data circle between the daily users, the analysts, and the management is the first step towards identifying the correct data. Through this communication, data becomes visible and valuable to the entire organization.
Pretty dashboards with loads of interesting data are useless if the organization does not create a joint process to figure out, which data that can improve the business and how.
It all starts by defining which challenges or current internal processes to focus on. First then, the organization can select the right set of data. By knowing which data is available and questioning how it can move the business, strong value can be extracted from the data.
The insights that data provides are effective instruments to enhance the overall performance. When extracting and analyzing data, it is important to work with simple tools that allow you to change different parameters. If it becomes too complicated, you will simply not get the job done.
Identification of Data Gems
FIND THE WAY THROUGH THE DATA PILES
When it comes to data, it is rarely a matter of the data volume but rather to be able to extract the right data from the data sets.
This raises the question of how the gems can be identified. However, in order to be able to find the right data, data integrity is vital. The term refers to ensuring that the data is accurate and reliable as it must be structured in a way that makes it suitable for use.
If the data is incorrect, it will provide misleading insights which consequently could lead to unsuitable or false business decisions.
This highlights the relevance of data cleaning, as the process of sorting data to discard or correct inaccurate or unnecessary data.
The use of an Analytics platform can make data extraction easier, as it enables the user to select the desired data. While not only letting the user select data for use, it also allows the user to select data for monitoring or cleaning.
For instance, by requesting the platform to show all purchase orders in which a certain field is not filled out. With a search function for finding the right data and provided filters for specifying and restricting the data (for instance selecting a time period), Analytics facilitates the process of data extraction. It then becomes up to the user to determine the purpose of the extraction by asking: “What do I need to know?” For pointers on what type of data to extract, see page 9-10 for examples of Analytics reports.
Data Presentation with Dashboards as Canvas
THE ART OF VISULIZATION
Once constructed, the data benefits from a touch up in order to become more appetizing and digestible.
However, while it can be tempting to focus on the layout, it is an advantage to initiate the visualization by focusing on the purpose. In line with the question from the first step, it is relevant to ask what the data needs to show and let it guide how data is presented.
