Nneka Okwuosa Written by Nneka Okwuosa · 1 min read >
                              Data Analytics

What is Data Analytics?

Data Analytics is the gathering, transformation, and organization of data to draw conclusions, make predictions, and make informed decisions, if this is to be explained in plain term for the common man.

The term “data analytics” is broad and covers a wide range of data analysis techniques. Data analytics techniques can be applied to any type of information to gain insight that can be used to make things better. Techniques for data analytics can make trends and metrics visible that would otherwise get lost in the sea of data. The efficiency of a business or system can then be improved by using this information to optimize processes, according to Investopedia.

As the global economy’s patterns shift, so do new ideas in the technology business. Because the latter heavily influences the former, predictions indicate that this tendency will not end anytime soon.
Key stakeholders in financial institutions, the food industry, cosmetics, manufacturing, and even nations always seek to make the best decision possible. To do so, they require data, which is typically in raw form, which they cannot understand until it is analyzed, interpreted, and defined as values.

Microsoft Excel and spreadsheets have long had a tenuous relationship with data analytics. Now, to convert and manipulate databases, data analysts frequently work with unstructured programming languages. Tools for data visualization like Tableau and open-source languages like Python are frequently used. Statistical analysis or graphical modeling can be done using more specialized data analytics tools like R.

Benefits of Data Analytics

Data analytics is significant since it aids in the performance optimization of enterprises. By finding more cost-effective ways to do business and retaining a lot of data, firms can help cut expenses by incorporating it into their business strategy. Additionally, a corporation can use data analytics to improve business decisions and track consumer preferences and trends to develop fresh, improved goods and services.

Data analytics provides businesses with deeper insight into their clients, helping them to customize customer experience to their needs, offer more customization, and create better relationships with them.

it also aids businesses streamline their operations, save resources, and improve the bottom line. When businesses obtain a better idea of what the audience needs, they spend less time producing advertisements that do not meet the desires of the audience.

When businesses understand their customers better, they will be able to sell to them more efficiently. Data analytics also gives businesses invaluable insights into how their marketing campaigns work so that they can fine-tune them for better results.

What Is the Data Analysis Process?

Data collection: It’s time to gather the data from your sources, guided by the needs you’ve determined. Case studies, surveys, questionnaires, interviews, focus groups, and direct observation are examples of sources. Make sure to arrange the data for analysis before collecting it.
It is also important to keep in mind that any data collected from a source must be accurate and error-free in order to provide the intended view and interpretation.

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