Top 7 Big Data Analytics Benefits and Career

Big data and analytics is often the subject of discussion in the digital era. This technology is believed to have had a significant role in the industrial revolution 4.0 that is currently happening.

With big data technology, companies can get many positive impacts. In running a business, companies have a lot to do with data.

Therefore, it’s no doubt that big data technology has many positive impacts on companies. Data has become an essential commodity for companies, and they don’t hesitate to invest in big data.

Seeing how many large companies are comprehensively investing in data, you must be curious, how significant is the positive impact of big data technology on companies? To find out, see this article to the end.

Big Data Analytics Benefits

It has been mentioned before that big data benefits, provided for companies, agencies, or organizations. What are these benefits? Here’s the description:

1. Helps Make Decisions

Analysis obtained through big data can help stakeholders in companies in making policies or decisions. Because it is based on data, the guidelines or findings are accurate.

2. Determine the Cause of the Problem

Big data can analyze and determine the cause of a problem in the system. In addition, the results of extensive data analysis can also be used to reduce errors or prevent issues that might occur.

3. Know the Customer Well

Through big data, we can get a lot of information about customers. Therefore, we can better understand them. For example, we can find customer data and their reasons for buying our products or services.

4. Create a Marketing Strategy

By understanding consumers, of course, we can also create an effective marketing strategy. We can also target consumers precisely. In addition, we can open cross-selling and upselling opportunities.

5. Detect Irregularities

Big data can detect deviant or abnormal behavior in business. In fact, it can be done relatively quickly and precisely. In addition, big data can also provide solution options to overcome this deviant behavior.

6. Product Development

Because big data can help understand customers, companies can also develop products according to customer interests. Thus, sales can also increase.

7. Predict the Future

The results of extensive data analysis can help predict the future. For example, anticipating market trends and estimating future needs. Thus, the company can do good planning.

Big Data Analytics Careerpath

In the era of increasingly sophisticated technology, data is an important part that can help companies make decisions.

Previously, companies had to carry out the process of big data analytics, starting from collecting data and tidying up to analyzing it.

This process is not an easy matter because the data that is collected and must be analyzed is very large and continues to grow.

That is why many types of jobs in the big data field are increasingly needed by companies. If you are curious about what jobs in big data are most sought after, try to see the explanation below!

1. Data Scientist

The first type of job in big data is data scientist. In recent years, this type of work has become increasingly popular because it is needed by many companies.

Data scientists are responsible for processing data and presenting it in a data product.

Later, the company will use the data product to determine a policy.

To become a reliable data scientist, you need to master mathematics, statistics, and computer programming.

2. Data Engineer

Apart from being a data scientist, the next job in the big data field that companies also need is a data engineer.

According to The Balance Careers, the job of this profession is to translate computer algorithms into prototype code and develop technical processes to improve data accessibility.

In addition, they also have to design systems related to large volumes of data. Data engineers will always be responsible for maintaining the systems they have designed to process data on a large scale.

3. Data Analyst

When it comes to jobs in the big data field, of course, data analysis is one of the most sought-after professions. As the name implies, this profession has the main task of analyzing data.

So in carrying out their duties, data analysts will assess what data is essential and needed by the company.

In addition, the analysis results will be explained to those who need the data. The reason is not everyone in the company can understand how to read data.

So, a data analyst must be able to process data so that it is better understood and explain it to all who need it.

That is why communication skills are also needed for this profession.

4. Data Architect

A data architect is one of the jobs in the field of big data that has a vital role.

They must understand all aspects of database design from the inside out as well as from the outside. This is because they are tasked with designing, developing, and managing databases.

Usually, this profession will work with data engineers to create workflow data according to the company’s goals. In addition, another responsibility of this profession is to design and test new database prototypes.

To become a professional data architect, several skills are needed. These capabilities include the programming language Python, CC++, to database management system software.

5. Database Administrator

According to Rasmussen College, database administrators manage company databases daily.

Their responsibilities include making updates, making modifications, maintaining secure data backups, and ensuring the database remains stable.

A database administrator must have some understanding of primary programming languages as well as knowledge of databases.

You can also take certification from a Microsoft Certified Database Administrator so that your career as a database administrator can progress quickly.

6. Database Manager

A database manager is the type of work in the big data field that you should know about next. A database manager will lead the data team and maintain the entire enterprise database environment.

Therefore, to undergo this profession requires an in-depth understanding of the database technology used by companies.

In addition, a database manager must be trained and skilled in project management and able to perform database diagnostics and repairs.

So, becoming a database manager requires in-depth knowledge of databases and leadership.


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