MIS 2502 Professional Achievement Points Assignment
MIS 2503 Project, Big Data Analytics
Big Data Analysis, the process of transformation from insignificant data into substantial information for businesses, especially for businesses which is pursuing for a solid consumer pattern, and customer insight for potential business opportunities.
On a broader perspective, businesses could use big data analytics to improve their business intelligence. With the aids of advanced software and skillful data analyst, firms could gain a substantial improvement in business information; moreover, obtaining a superior forecasting models then organization that neglect the big data process.
According to SAS, the multinational data analytics corporation. Data analytics could have the following benefits to businesses.
- Reduce the business operation costs.
- Much more efficient business decision making.
- New and better R&D.
Data analytics allows companies to find an efficient way of doing businesses, which leads to the decrease of business costs. Secondly, in terms of business decision, companies are more dynamics and decisive in business decisions. Thirdly, with the insights from customer, companies managed to develop exceptional products that match with consumer’s needs.
In MIS Data Analytics Course, we learn the fundamental skills of data analytics, and the substantial skills for big data analytics. Throughout the entire course, we have to learn SQL analysis, R Regression, and Pivot table analysis. These skill sets aid us the technical expertise in managing data, transforming data, and most importantly, analyze the data into valid information.
In big data analytics, data scientists employ different software to inquire more insights from the business. For instance, pivot table. Pivot table is one of the function from excel, which organize the entire set and present the data in a formulated style.
In all, big data analytics can transform the disorganized data into an accurate and informative information.
Reference:
SAS Corporation:
Big Data Analytics: