What Kind of Data Can Be Monitored and Displayed on a Connected IBC?

What Kind of Data Can Be Monitored and Displayed on a Connected IBC?

Different types of data can be monitored and displayed on a connected IBC tank. Data monitoring is the process of proactively evaluating and reviewing data and its quality to ensure that everything is working efficiently. To monitor data on IBC tanks, different data monitoring software will help you measure and track data using alerts and dashboards. There are IBC tank monitoring systems that provide crucial information on these tanks. Knowing the kind of data that can be monitored and displayed on a connected IBC will help you pick the right data management system. This article will give more insight into these types of data.

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Data Monitoring Overview

In simple terms, data monitoring is the act of having technologies, procedures, and benchmarks for tracking the usefulness and quality of your IBC data. The first step to monitoring IBC data is establishing data quality criteria or metrics tied to specific business objectives. Upon establishing the groundwork, you can compare the IBC data over time. This will help you keep track of the tank contents, size, and quantity. You will also tell when it is time for a refill to prevent the content from running out. Monitoring IBC data will help a company improve its operations significantly. There are some critical aspects of data quality that are frequently monitored in IBC tanks. These attributes include:

  • uniqueness
  • accuracy
  • uniformity
  • completeness.

Monitoring the quality of data will help you know the problem areas and where most inaccuracies are observed. It will also help you identify where you should apply the data quality initiatives.

Types of Data that Can Be Monitored on IBC Tanks

Different types of data can be monitored and displayed on a connected IBC. Discussed below are some of them.

Qualitative Data

Commonly, categorical or qualitative data describes the object under consideration using a finite set of discrete classes. This means that qualitative data can be counted or measured easily using numbers. It can also be divided into different categories. In IBC tanks, qualitative data often revolves around solids. For example, if the tanks contain bars of soap, you will apply qualitative data. This means that the information displayed on the dashboard will indicate the total number of items in the IBC tank.

In most cases, qualitative data is extracted from a text medium. An example of this is when the IBC monitoring system provides information about the item’s category, the total number available, and the specific color. All this information is categorized under qualitative data. There are two types of qualitative data.


This is a set of data that doesn’t possess a natural ordering. To understand this, let’s look at some examples. The color of a commodity can be considered nominal data because you cannot compare its color with others. You cannot say that blue is better than red. Similarly, the nature of a commodity cannot be compared. You cannot say bar soaps are better than maize seedlings. Therefore, depending on the IBC tank’s contents, you can tell the kind of data you are dealing with.


This kind of data contains values with a natural ordering while maintaining their class. Given the possible wide range of information on the stored commodity, coming up with clear and precise points will help others understand the data. To do so, you need to evaluate the available data and categorize every detail in a natural ordering. These categories will help in deciding the encoding strategy that can be applied to which kind of data. Data encoding for qualitative data is crucial because monitoring systems can fail to handle these values directly. They will need to be converted to numerical types as most models are mathematical. In cases where there is no comparison among categories, a kind of encoding called one-hot is applied. This happens when there are fewer numbers of ordinal data types.

Quantitative Data Type

Another kind of data that can be monitored and displayed on a connected IBC is quantitative data. It is one of the most common data types. This data type tries to quantify things, and it does so by considering the different numerical values. In IBC tank monitoring, quantitative data is applied when the content is solid. You can monitor the total number of items available, avoiding cases of insufficient stock. As much as quantitative data is mostly used on solids, there are some cases where it is applied to liquids and gases.

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Importance of IBC Data Monitoring

Monitoring IBC data has significantly improved the margins of those working in mini-bulk by smoothening the packaging and delivery process. For instance, trucks now drive on targeted routes, ensuring full payloads. Monitoring data lets you know the size of commodities required. Discussed below are some of the benefits of tank data monitoring.

Managing Virtual Resources

Traditional network monitoring tools usually depend on a physical structure. However, thanks to advanced data monitoring systems, you can analyze big data from IBCs. Big data network monitoring should revolve around observing the virtual resources. This can be done by accessing packet streams or monitoring the connected tools. By monitoring data, you ensure that all the applications and network infrastructure are optimized to handle big data.

Real-time Data Analysis

Monitoring IBC data ensures real-time data analysis. This is crucial because it enables you to manage and filter data traffic in real-time. Note that performing real-time data evaluation makes it possible for the system to automate responses. This will lead to faster assessment of issues compared to human response.

This is not only beneficial for big data applications but also used for enterprise security. The reason behind it is that big data can be used to identify network breaches and viruses before they occur.

Load Balancing

Passing data through a central enterprise intersection will enable load balancing. This will help you manage real-time packet stream inputs and outputs for the best results. Besides, using a centralized switch will also ensure that data stays put for extended analysis. Most manufacturing companies rely on IBC data monitoring for load balancing.

IBC Connecting Data to Logistical Improvements

There are different types of data that can be monitored and displayed on a connected IBC. This article has pointed out the common types of data analyzed as well as the importance of data monitoring.

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