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I believe that many people have heard the term Big Data before but don’t know what it is. Have you ever wondered what Big Data really is? How does Big data work? And is it useful or important? For anyone who is looking for information in this area today, mandala analytics will tell you.

Big Data

If translated directly, it would mean Big data, which is really what it’s definition is. The amount of data in different formats with enormous The kind known as software or simple hardware cannot support this information. Most of the time, these data are used for business purposes as information that is stored in an organization or a company, such as company data, important customer data, videos, image files, or document files, etc.

big data

The characteristics of Big data (4V) are as follows.

Volume : As mentioned above, Big Data is data that is very large or very large volume whether it is online or offline. These data will be larger than TB (Terabytes) or more.

Velocity: Because Big data changes rapidly and continuously. A type known as Real Time, so it can be analyzed easily in a manual way, but can’t capture a clear direction or pattern. or the death of those data

Various types or sources (Variety): data has different forms. for example Data such as images, images, text or video files, etc. At the same time, there are various sources such as Platform, e-commerce, Social Network, etc.

Unprocessed (Veracity): If Big Data is not processed or converted to raw data (Raw Data), it cannot be used or utilized by an organization or a company.

back in the past If talking about the history and history of Big Data, in fact, Big Data is still new and has only recently begun to do. Around 2005, social network trends such as Facebook Twitter IG as well as other forms of social media It was becoming very popular at the time and there was a realization that big data was created to support these needs.

Big Data is not only trying to get social media, but it can also be used in business effectively. especially the collection of customer information This information is considered a very valuable treasure. Because in today’s hot commercial competition, the ability to meet the needs of customers on the spot. will make the business above competitors in every aspect in the corner of the website or social networks. Big Data collects information about your visits to the website or the use of applications. as well as conversation information through various media to improve and communicate with customers to add value to the business and to proactively solve problems effectively

How does Big Data work?

Many people may be wondering how Big Data has such a huge amount of data. How will there be a method or process to work? Big Data consists of 3 important steps as follows.

data collection

Big Data Collection serves to collect a wide variety of data and different types of data. Which traditional technology can’t do. Big Data can store large amounts of data and collect massive amounts of data in the form of terabytes. Or sometimes it may store data at the petabyte level that has it all.

data management

Massive amounts of data or Big Data are required to store large amounts of data. Or find a source for it, for example on premises or the cloud that is popular today. Depending on your needs or ease of use But in some cases, data may need to be stored near a highly flexible data source.

analysis

Big Data can require a large investment in building big data (moved here). But this will not bring any benefit. If you do not use that information for analysis. To clarify and clarify the existing data set. Most of the time, AI is used to model the analysis of the data. in order to bring those information to a conclusion, develop and extend it for maximum benefit

Today, Big Data is very important. In particular, the use of these information for the best benefit of the organization. By analyzing the data and the results obtained, it will help to understand or better understand the consumer, reducing the cost. Reduce time to implement or plan marketing strategies. For today’s tools that support Big Data in a way that we can easily understand. are seen in a variety For example, Google analysis or ERP system etc.

big data

Even the world’s most famous e-commerce companies use Big data to automatically recommend products in real time. Whenever you search for that kind of information on Google or from various sources. Over time, the product you want will appear in ads on other Facebook pages, social media sites, or websites. By advertising that product is Big Data. Big data that has already collected your needs. And it will appear to you often. to tempt until you accidentally pressed to order that kind of product

Using Big Data is not an easy task. Currently, if it is information within your organization that is already stored. You can easily use tools that are already available in the market such as ERP. But to make your organization know the market needs. including being able to analyze consumer needs To be able to produce marketing content, do SEO or do Social Marketing to come out well. You need Social Listening Tools. Social Listening Tools can help you reach the needs of people online. Helps you analyze data on various Social Platforms, whether it’s analyzing the time of posting. Analyzing positive and negative data even reveals how good content can be called engagement of people online. Social Listening Tools are quite useful in analyzing Big Data data.

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