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Pros and cons of big data course

The adoption of big data is constantly rising in the digital age. Today, nearly every business firm relies on big data to make adequate decisions and amass better market and consumer intelligence. From small organisations to multinational companies, big data enhances every enterprise’s internal efficiency and operation regardless of its size. In fact, modern big data analytics are also effective in anticipating the pattern of consumers. That’s why the number of companies using big data has dramatically increased over the past few years.

According to the World Economic Forum (WEF), 97.2 per cent of organisations assert that they invest in big data and Artificial Intelligence to transform their business. With more technologies in the market to help us access big data, the industry is expected to develop exponentially, reaching a value of USD 103 billion by 2027, the WEF report suggests.

Today’s piece will delve into some of the mind-boggling statistics related to big data and discuss the pros and cons of the big data course. For those new to the concept of big data, we have prepared a brief intro on the topic.

What is big data?

Big data is a broader term that usually refers to enormous sets of data emanated from various sources. It is a combination of large, hard-to-manage volumes of structured, semi-structured, and unstructured data with critical insights into people, processes, and things.

Big data is complex and colossal in volume. Thus, it is unthinkable to process big data through conventional data storing tools. Typically, big data has been segmented into the five V’s: Volume, Velocity, Variety, Veracity, and Value, to organise our understanding and identify opportunities.

Now, we will walk through the pros and cons of big data. So, let’s jump right into the advantages of big data in the contemporary business landscape.

Pros of big data

  • Better decision making

Big data identifies patterns and provides meaningful insights, which help make informed decisions. A recent study by IBM reveals that organisations use big data to drive critical business decisions and enhance their business performance and return on investment.

  • Improved operational efficiency

Today, enterprises leverage data to automate processes, optimise selling strategies, and boost the overall efficiency of the business. Let’s take the example of Tesla vehicles. Tesla embeds sensors in their self-driving cars that collect data and send it for analysis, helping the company to improve the car’s performance.

  • Increased revenue

Increased revenue is the outcome of improved customer services and data-backed decision-making. In the Syncsort survey, it has been found that about 54.7 per cent of respondents use big data tools to generate more revenue and accelerate growth based on insights.

Cons of big data

  • Need for experts

Data scientists and big data experts are among the highest-paid professionals in the IT field. Professionals require essential computer science concepts, including data structures, software engineering, algorithms, functional programming, and distributed computing, to gain expertise in big data.

Conclusion

Interested students can invest in big data courses to gain valuable knowledge and skills in big data. Some reputed universities in Dehradun offer accredited big data courses to help students make a lucrative career in the field of big data. Enrol now!

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