In every aspect of the world today, data plays a crucial role in deeply understanding  and improving situations and conditions. Whether it’s a University’s research department or the fast food chain you drive thru, all these places use data for their businesses. Data is everywhere and its usage can simply be applied to everything. Especially now that the world is rapidly advancing, gathering of big and small data has become the center of every institution.  From learning how to handle websites to producing food products, and many more, data is essential. Hence, there is a demand for data analysts, those which administer the analysis of data. There are even AI data analytics available in the industries today.

Data Analysis

Also known as data analytics, data analysis, in general, is a process of checking, analyzing, and modelling data in order to obtain useful information that may aid in creating decisions or suggesting conclusions. Common data analysis techniques involve data mining, used for predictive purposes, business intelligence, for business information, predictive analytics, and text analytics.

Simply put, data analysis refers to obtaining raw data and transforming it into useful information to aid the beneficiaries of the information. And almost always, data is collected and interpreted to answer certain queries, test and/or disprove theories and hypotheses.

Now that we have broken down what data analysis is all about, let’s look into the actual duties and responsibilities of data analysts who are in the field.

Duties of a Data Analyst

• Conduct research.

In many institutions and industries, the data analysts, themselves, conduct the research as they, understandably, are very familiar and knowledgeable with the different approaches in studying the environment which they are working for.

• Analyze data.

Once the research has been conducted and data has been collected, the main role of the data analysts come in place and that is to analyze the data they have on their hands. Analyzing data would mean running descriptive, qualitative, and quantitative statistical tests, tracking outliers, determining patterns, and interpreting the results.

• Relay the results.

Not everyone speaks the data analyst’s language and so, one of the bigger challenges for data analysts is relaying the results to the rest of the team. Data analysts will have to explain what the results mean for their business.

• Manage the data.

Finally, data analysts manage the data. They are the ones who will be able to determine how the collected data should be used for the improvement of their, let’s say, products and services. Data may be used to create strategic plans for the company, or perhaps, to make changes in their systems.

Indeed, data acquisition and analysis is very important and so, if you’re interested to know more about data and its acquisition systems, feel free to check out DAQIFI’s data systems.