Why does Big Data matter in business?



Introduction


The term Big data defines large, hard-to-manage volumes of data. It could be structured, semi structured or unstructured that engulfs businesses regularly. Organizations make use of numerous references and sources to collect data including transactions, smart devices, industrial equipment, videos, images, audio, social media and more. Big data can be analyzed for insights that improve decisions and give confidence for making strategic business moves. The Big Data concept was born out of the need to understand trends, preferences, and patterns in the huge database generated when people interact with different systems and each other. With Big Data, business organizations can use analytics, and figure out the most valuable customers. It can also help businesses create new experiences, services, and products.

All business organizations require data to understand customer preferences, dynamic trends and understanding target audiences. It even helps you anticipate their needs. The right data needs to be effectively presented and properly analyzed. It can help a business organization achieve its goals.


Significance of Big Data in businesses.


Big data creates expanded alternatives for machine learning, predictive analytics, data mining, streaming analytics, text mining and other data science and advanced analytics disciplines.

Using those disciplines, big data analytics applications help businesses better understand customers, identify operational issues, detect fraudulent transactions and manage supply chains, among other uses.

If the big data usage and implementation are performed adequately it will firmly result in every aspect of an organization. Starting from

effective marketing and advertising campaigns, improved business processes, increased revenue, reduced costs and stronger strategic planning -- all of which can lead to better financial results and competitive advantages over business rivals. Generally, big data helps organizations by generating actionable insights that enable them to implement data-driven policies and decision-making. It can also point organizations toward new business opportunities, potential cost savings and emerging market trends. In addition, real-time analytics applications fueled by big data can be used to provide up-to-date information and alerts about problems to operations managers, call center agents, sales representatives and other frontline workers.

The following eight potential benefits as examples of how big data systems can help organizations:


● better insight into customer preferences, buying behavior and sentiment.

● increased intelligence on market trends, products and competitors.

● agile supply chain operations that can react quickly to problems and new business needs.

● recommendation engines that are better tuned to the interests of customers.

● data-driven innovation in product development and other business functions.

● the ability to support diverse analytics use cases with the same data sets.

● operational improvements, such as lower costs and proactive equipment maintenance and

● ensuring that data and analytics platforms can meet future business needs.


Application of Big Data in business.


The Application of Big Data in Human Resource Management:


One of the main jobs that the Human Resources department is required to do is to hire a candidate who is fit for a position. The old traditional selection process has a big drawback; it depends on the information that a recruit has provided which is not enough to ultimately judge the abilities of the recruit for the job. Therefore, the results from this selection process are usually biased due to the Human Resource department lacking some information needed to choose a suitable candidate. The introduction of Big Data and tools made it possible to collect more information from the internet and analyze that information to make an unbiased decision in the selection process. The traditional method of classroom training needs more human and financial resources, however, the introduction of Big Data makes employee training more efficient and less costly. This was made possible because information processing and sharing were made easy by Big Data. Organizations have created training courses and uploaded them onto their network allowing employees to take those training courses at any time.


Big Data application in customer relationship management:


Big Data is used for retrieving information about customers’ likeness and why they buy a particular product. This allows users to make more informed decisions. Furthermore, Big Data helps companies focus on customer needs, product development, and new openings for sale. All types of companies can benefit from using Big Data. Due to the use of Big Data, the marketing department became more important since it attracts more customers. Now, companies can accurately and easily find out information about people who access their websites, people who read email newsletters, and potential customers.

Now marketing technology has become more important. Companies use software like marketing automation technology, CRM systems, and analytics tools to help customers get more information about products. Thus, the marketing department of a company needs to work closely with the IT team.


Big Data applications in accounting:


Big Data has very important effects on accounting, even while new types of data become accessible. Video, audio, and textual information made available through Big Data can allow financial accounting, managerial accounting, and financial reporting practices to improve For example, in financial accounting, Big Data will improve the relevance and quality of accounting information; thus, this will enhance transparency and stakeholder decision making.

In managerial accounting, using Big Data will contribute to the evolution and development of effective management control systems and budgeting processes. Moreover, in financial reporting, Big Data can help with the creation and refinement of accounting standards.


Big Data application in the supply chain:


Supply Chain Analytics (SCA) is the Big data-based concept that is applied in all stages of businesses. SCA application helps managers in making informed decisions, understanding new marketing trends, identifying and assessing risks, and leveraging supply chain capabilities to formulate supply chain strategies which ultimately improve businesses both in terms of flexibility and profitability. The benefits of using SCA have been realized by businesses both at a tactical and operational level. SCA helps managers to analyze and measure supply chain performance on demand planning, procurement, production, inventory, and logistics.


Conclusion.


Big Data’s impacts, effects, and influence on businesses, firms and e-commerce today is still growing to a larger extent, in a variety of different ways. Big Data, which is essentially the careful organization of large quantities of data to better equip and assist businesses for success, has become increasingly relevant and useful in a variety of ways for businesses.

Big Data resource has changed from being an extra advantage for any business to a critical asset that any company that wishes to compete in commerce must embrace. The primary role of Big Data is to generate critical information that can be used to add value to the production. The modern world of business and commerce is highly competitive. So the help of advanced strategies and their most appropriate implementation is essential for the growth and success of an organization.


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