Types and Uses of Data Analytics

To facilitate the process of calculating and analyzing data, you need to know the types and uses of data analytics. Data analytics itself is a process for examining a series of data that can be used to draw conclusions from existing information. Data analytics technology can make it easier for companies to get better and more accurate data. In addition, companies will also find it easier to match existing data with various things happening in the field. That way, the company can minimize the risk of fraud by certain parties. The following will discuss the types and uses of data analytics.

Types of Analytics Data

Descriptive Analytics
This type of data analytics can provide an overview of the data that has been collected. In this descriptive analytics we will only look at simple information, such as the number of visitors per unit of time, the most visited pages, and so on. Descriptive analytics is the most common data analytics. Although this data is relatively simple, this data is very necessary in order to determine the effect of the changes made.

Predicative Analytics
The use of this data analytics is to predict something to come. Data about visitors as well as purchases can be used as an estimate for what items visitors might like so that they are interested in buying these items. In this data analytics time machine is needed. Because it requires a time machine, you cannot directly use addition operations like descriptive analytics pda, but must interpret the collected data first.

Prescriptive Analytics
Prescriptive analytics is an analytics process that can answer why something will happen and how to deal with conditions that will occur in the future. This data analytics is needed by top-level management to make decisions.

This data analytics is quite difficult considering the algorithm must really be able to see what is not seen from the previous two analytics. For this reason, machine learning is needed in this analytics process.

Data Analytics Uses

Simplify Statistical Calculations
Data analytics can make it easier to calculate and analyze data related to statistics. Thus, employees do not need to bother analyzing statistical data manually.

Streamline Counting Time
The presence of data analytics will also make the processing time of statistical data more efficient. That way, employee performance will increase because they don't just spend time on one job. Increasing the performance of employees will clearly have an impact on the company's overall performance.

Produce Accurate and Reliable Calculations
Analysis that uses data analytics will produce accurate and reliable calculations. This of course can help companies minimize the risk of errors in the statistical data analysis process.

Can Help Market Research from a Business
Companies need to conduct market research to determine the market's desire and ability to respond to their products. For this reason, companies need data analytics to analyze market research. The process of carrying out a market research analysis will be easier and faster to complete.

This explains the types and uses of data analytics. Hope this information can be useful for you. For more detailed information regarding the application of data analytics, please consult Soltius Indonesia. We provide the best solutions related to analytics software that can maximize the process of analyzing data related to statistics.