In the simplest terms, a data logger can be described simply as a device that stores data. Typical examples include serial communication systems or plug-in boards. The prime advantage of a data logger is that these devices can be operated without a computer. Data loggers can be classified according to storage capacity, shape/size, speed of recording and types of input signal.

The working of a data logger is equal to simple computing where user stores certain information on computer's memory. However, data loggers use sensors that convert physical stimuli and phenomena into electronic signals (e.g. current or voltage). The electrical signals are further digitized or converted into binary data. Finally, this data is examined by software and saved on a storage media (CD or hard drive).

In the case of a data logger that is working off GPS it will 'log' its position over a period of time, which you will later be able to check on a computer. For example, a haulage company could use them in its fleet and at the end of the day the loggers would show the routes the drivers took as well as other data such as speed and time.

Here is a list of components that are essential part of data loggers:

• Hardware: This helps digitize the signal that is being logged. This includes signal conditioning equipment, sensors and analog-to-digital conversion circuit.

• Onboard memory for data storage.

• Data-logging software: This helps in data acquisition, scrutiny, and presentation.

People prefer to use data loggers due to their ease of operation. Their construction and circuitry is simpler compared to a complex computing system. Moreover, they are used to make sure you comply with industry regulations, ensure product quality and save costs. When it comes to research work, data loggers are second to none. These instruments are generally more economical as compared to chart recorders. Data loggers offer greater input signal variety. Considering all these factors, they are the first choice in data acquisition niche.

Data loggers are preferred by professionals from various industries. They may be used for:

• Weather monitoring

• Food and agriculture industry for seeding, storage and transportation.

• Monitoring homes, warehouses, offices, or museums.

• Environmental monitoring of aquaculture, rivers, climate and oceans.

• In healthcare and laboratories.

If you are associated with stocking of data loggers, it is important that you mention all the features and qualities of your data loggers to your clients. Some of the features that can attract the client's attention towards your products include high-speed acquisition, long battery life, large memory, and diverse input range, heavy duty operation that can withstand extreme weather conditions, easy-to-use software and rugged construction. All these features are bound to make an impression on your target market.

Buying data loggers, the other end of spectrum, is also as much important. Many things could go wrong here. Firstly, the data logger should be relevant to your industry. For example, if you choose a fragile data logger for weather monitoring, it is sure to cause problems during bad weather. Also, there is no use buying expensive rugged-built data logger for lab use as chances of getting damaged are less. Another point to remember is to know your needs. If you do heavy data logging, give due importance to memory while shopping.

Here are some questions which you can ask on your quest to find the perfect data logger:

1. Will it suit me?

Being aware of your requirements is the key here. The data logger's feature set should be relevant to your industry needs.

2. Does it meet calibration standards?

The data logger must meet all the calibration standards of your industry. Also, the manufacturer must be certified and licensed.

3. Are the features enough?

Check all the features such as memory, speed of data acquisition, sample rate, number of inputs, and compatibility with other systems.

4. Do I need a computer?

No. Not during data acquisition. A PC may be required for data analysis, and storage purposes.

Over the years, data logging has emerged as a basic requirement in various industries.