A COLLECTION OF THOUGHTS

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DC Analyst Germar Reed DC Analyst Germar Reed

What is Big Data?

Big data is a term common to both large and small businesses. Almost every business owner has heard something about big data, but not all know what it really is.

Big data can be understood just as it sounds; it is data in large sizes. It is aptly defined as a large amount of data in both structured and unstructured forms. Big data is so named because it cannot be analyzed with traditional data processing methods or applications. It requires a different approach and software.

Companies value big data because it provides answers that increase the efficiency of a business.

Big data is a term common to both large and small businesses. Almost every business owner has heard something about big data, but not all know what it really is.

Big data can be understood just as it sounds; it is data in large sizes. It is aptly defined as a large amount of data in both structured and unstructured forms. Big data is so named because it cannot be analyzed with traditional data processing methods or applications. It requires a different approach and software.

Companies value big data because it provides answers that increase the efficiency of a business.

The concept of Big Data

Big data is characterized by three 3Vs. Each part explains the concept of big data and how it is relevant to your business.

  • Volume- Volume is the most important aspect of big data definition. It is sourced from various aspects of a company. The volume of big data can be hundreds of petabytes about business transactions.

  • Variety- Variety describes the unlimited forms of data. Data can be in structured or unstructured forms such as numbers, text, and so on.

  • Velocity- Data can be received in split seconds. It can also be received in long hours. The velocity of data simply refers to the speed with which it is received and analyzed.

The use of Big Data

Not every business or company can use big data. Smaller businesses can easily perform data analytics with traditional software applications. Big data stands out because its uses are also highly significant. Here are some important uses of big data.

Customer Satisfaction

In any organization, customer satisfaction is vital. Big data is used to gather accurate information on customer needs and preferences from surveys, social media, calls, and so on.

Product Development

Product development is not to be taken lightly in any business. It is important to anticipate consumers’ demands to avoid loss and rejection. Big data analytics helps companies to predict the response of the consumers to a new or modified product.

Efficiency in Operations

The availability and proper analysis of data in an organization helpto improve efficiency in operations. This is the most significant influence of big data on companies. Efficient mode of operations guarantees customer satisfaction and sustainability.

Challenges of Big Data

Getting to know about big data goes beyond its definition; it also involves knowing what challenges lie in using or receiving big data. Despite its invaluable uses,the issues faced with big data have been existent for a long time. Companies still struggle to keep the paceand find effective solutions to them.

Storage

Big data increases steadily with almost no way to control it. Organizations have always had to search for valid ways to store big data because it cannot be discarded.

Time and analysis

Big data is BIG. This means more time, effort, and different methods will be applied in analyzing the data. While this cannot be helped, it is a standard issue because time is important to an efficient organization.

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