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Thursday, 29 October 2020

Examples of the data collection environments and use of analysis


Digital transformation has become one of the inevitable trends in business development. The core of digital transformation is data and analysis. Data can be used to better sell to customers, track their consumption habits, understand their pain points and gain insight into their purchasing decisions. For companies, it can also be used to improve processes, cut costs, increase productivity, and make decisions.

Data collection and analysis are collected through the use of information-collecting sensors and software, and then the analysis platform is used to analyze the information to identify trends. There is no one-size-fits-all solution for data and analysis. Different enterprises and different environments require different solutions. The development of an analysis strategy is to identify possible situations and customize them according to the organization.


Examples of the data collection environments and use of analysis


Conference room

The first application is a conference room, which is an ideal starting point for companies to implement data and analysis strategies. Through the data collection and analysis of the meeting room, the office space can be effectively integrated and fully utilized, and energy can be saved. You can also understand what kind of equipment employees like to use, and then use these equipment to effectively improve work efficiency. Without data collection and analysis capabilities, this information cannot be collected.

Manufacturing workshop

From the initial manual recording of data samples and entering them into a spreadsheet for analysis, to adding sensors and binding them to the data collection platform for analysis, time and effort can be saved.

In the pharmaceutical industry, data is essential to ensure maximum production capacity and maximum profitability, and process and quality compliance with FDA's strict requirements.

Shipping and Receiving

Transportation companies use GPS sensors in their vehicles, which scan cargo as they arrive and leave.

This allows the transportation company to understand all possible situations in real time. When a truck breakdown will delay the delivery, the transportation company can contact the customer to inform them in advance so that their customers can prepare for the delayed shipment. This is when a problem occurs, corresponding measures can be taken.

In addition, collecting this data can provide insights before problems arise. The real-time update of data can make the goods shipped to the destination faster, generate more revenue and reduce more cost savings.


Retail

Retail has become the best way to collect and analyze data.

Counting sensors can understand how many people are in the store and where they gather. Facial recognition software can be used to understand where people of a particular gender or age move in a store. This can help the company better set up the store, including ensuring that the right products are in the right locations.

Data collection and analysis of own company

For company operators, they need a set of data collection and analysis strategies tailored for their company. Company leaders can obtain information through data and corresponding graphs in order to make correct decisions.

This is the key to a smooth entry into digital transformation.


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