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In an era that is driven by digital data storage in the paper format of each organization It might be something that slows down the work. Because now all data can be stored on the cloud, which is a huge storage that can be accessed from anywhere, anytime.
In this article, let’s get to know Big Data. What are the sources, benefits, and precautions for using Big Data that you should know? All in one article
Big Data is the collection of all information that is available within the organization, whether
company information
customer contact information
Business associate’s contact information
consumer characteristics
Daily business transactions
letters, document files, pictures
including other information almost all types of online
When there is a large amount of data, efficient processing is required. can support the enormous amount of data
Basically, this Big Data collection can be used to analyze data in various fields. for use in planning and decision making in business operations or increase the opportunity for more business progress
How does Big Data come about?
Big Data is a new term that was only introduced in the 1990s by John Mashey who made it known. old can’t be processed Or can be processed but takes a long time. Big Data includes both structured data. semi-structured And without structure, the size of Big Data will always increase in size. Now with thousands of Terabytes of data size, it will be increased to Zettabytes.
Working with Big Data requires techniques and modern technology that can support large, complex and diverse data. In 2018, Big Data was redefined as «Big Data is a tool used to manipulate data».
Key Characteristics of Big Data
Big Data must have 4V essential characteristics as follows to be called Big Data.
1. Volume
That is, mandalasystem.com the amount of data that can be produced and stored must be large enough. The amount of data is an indication of the quality and efficiency of that internal data. and can be further considered whether those existing data are considered Big Data or not
2. Variety
is a variety of data types which can increase the efficiency in bringing the data for further analysis Whether it is text data, images, recorded audio data, videos or other types of files from various sources. It can be a part of increasing the efficiency of Big Data.
This will be information from all parties, whether it is finance, sales, marketing, customer relations, accounting, including letters that may be conversations between departments. or between companies This could be messages from social media, including URLs that get information about every day.
3. Speed (Velocity)
is the speed of processing and producing data to keep up with the needs of users. Big Data is data that is acquired in real-time and processed all the time, unlike Small Data that cannot be done.
Big Data has a higher processing frequency. More data logging and disseminate more data. Big data data with a rapid increase in data rates. whether
chat text data
audio recording data
video shooting information
Order rate information
various promotional information
which if you sit and watch, it will be considered as there is a lot of information And there are constant updates and movements.
4. Data Quality (Veracity)
is the quality of the data that can be further analyzed It is the unprocessed data in the form of raw data which can be processed further. And the data comes from a variety of sources, such as Facebook, Youtube, Twitter, which data from these sources is difficult to control the quality and screening of the data. and reliability of information Therefore, these data must be brought into the Data Cleansing process.
In addition to 4V, which is an important characteristic of this Big Data, there are other characteristics. That can be said to be Big Data as well.
Scalability is the total size of data that must be able to scale quickly.
Relational is the relationship of information. Relevant data can be processed better.
Who is Big Data suitable for?
Big Data is a tool that enables efficient use of data. Data from all sources can be analyzed and planned to partially produce the desired results. To help reach the needs of consumers as much as possible
when reducing the operating time It can reduce costs as well. The benefits in this part of Big Data make big companies Many of them use it in marketing planning to analyze consumer characteristics as well as consumer needs. for accommodating large businesses
For example , e-commerce companies use Big Data to analyze customer behavior based on tracking data. that there is a need They can also check competitors’ prices, quantity of products, in order to present them to meet the needs of customers as much as possible. It then brings this information to customers automatically and adjusts the price up or down based on market demand.