THE STATISTICS OF ROAD ACCIDENT IN MALAYSIA

Trends of Data Analytics in Different Sectors

Data Analytics could be a process of analyzing raw datasets to derive a conclusion regarding the data they hold. Data analytics processes and techniques use applications that operate on machine learning algorithms, simulation, and automatic systems. They help organizations understand their clients better, analyze their promotional campaigns, customize the content, create content strategies, and expand products. There are many different sectors that make use of data analytics. Some of them are banking and securities, communications and media, healthcare, and education. For banking and securities, they use big data analytic to monitor financial markets through network activity monitors and natural language processors to make sure there aren’t any fraudulent transactions and illegal trading happens. While communications and media use real-time reportage of worldwide events on several platforms like mobile, web, and TV at once. Next is healthcare where they use data analytic to gather public health data for faster responses to individual health problems and identify the global spread of new virus strains. For education, universities around the globe are using data analytic to monitor and track the performance of their students and faculties and survey the interest of students in different subjects via attendance.

 

Reflection

Based on the research conducted, data analytics plays a vital role in the business. The importance of data analysis in any sector is added, creating a very large quantity of knowledge that may provide useful insights into the field. Data analytics consists of descriptive, predictive, diagnostic, and prescriptive analytics. Analytics data brings more benefits to the business as it is an essential asset for companies for obtaining a competitive advantage. Perhaps we can look at how Amazon, for example, uses the opportunities provided by big data analytics to understand and know their customers inside out. It is best to make good use of data analytics to gain more advantages and to ensure we are not left far behind our business rival.

 

Microsoft Power BI

Microsoft Power BI is a collection of software services, apps, and connectors that work together to turn any unrelated sources of data into coherent, visually immersive, and interactive insights. Power BI makes it easy to connect to the data sources, clean, and transform the data into a data model without affecting the underlying source and visualize what's important, and can be shared with other users in the organization. There are 3 views available which can be selected on the left side of the canvas. The first one is the report site, where users create reports and visuals. The next one is the data site, where there are tables and other data associated with the report. The last one is the model site, where users can create and manage table relationships. In Power BI, there are many different types of data sources available. Power BI Desktop has a Get Data button on the home tab. When users click on it, it will show many categories to which Power BI can connect. Select a source to establish a connection. Depending on the selection, users will be asked to find the source on their computer or network and start building a report. Publish the report from Power BI Desktop to Power BI Service and share it so the business user in the Power BI Service can view and interact with the report.

 

When to use Power BI

The analytical tool that is used most is Excel. Many people still use Excel to organize data and perform financial analysis. However, Power BI is better when it comes to creating reports and sharing them throughout an organization because it is quite hard and needs more work to perform using Excel spreadsheets by extracting data to create reports. Therefore, Power BI is more flexible to transform and visualize the data.

 

Data Visualization

How to do data visualization using Microsoft Power BI? Firstly, find the story in the data. Information can be visualized in several ways, where each of them can provide a specific insight. It is important to identify and understand the story that is to be delivered. Make a proper visualization to make sure the message is delivered in the best way. Next, know the data. Before understanding visualizations, understand first what types of data can be visualized and their relationships to each other. There are 4 types of data which are quantitative, discrete, continuous, and categorical while the relationship consists of nominal comparison, time series, correlation, ranking, deviation, distribution, and part-to-whole relationships. Create a data model first. Then after having a data model, drag fields onto the report canvas to create visuals.

 

Reflection

Throughout this industrial talk, we get to know how to use Microsoft Power BI and how to visualize data. Power BI is easy to use and is like a smarter solution to produce reliable reports and analysis via dashboards, reports, and datasets. Moreover, Power BI is something important that anyone who wants to dive into the business world because of its simplicity and user-friendly. Power BI is also available on all platforms and can be used at any time, so we can easily access data and information, while don’t have to worry about its safety as it is protected. Visualization data is also included in the Power BI. It is to make sure that the patterns and errors in the data can be recognized so that the users can pay attention to the areas that indicate the progress. To conclude, this technology can help to improve the operations and performances of any business.