In today’s digital era, the amount of data generated by organizations continues to increase. Data generated from various sources such as business transactions, sensors, software, and social media can be very large in volume and complexity.
In this case, Business Intelligence (BI) can help companies manage and integrate data from different sources, allowing companies to analyze data more efficiently and accurately. It is no wonder that Business Intelligence careers are increasingly sought after by companies.
For those of you who are interested in a career in this field, let’s find out the definition and tools of Business Intelligence below!
What is Business Intelligence?
Business Intelligence (BI) is the process of collecting, analyzing, and interpreting business data to help make better decisions in an organization. BI involves the use of technology and analytical tools to collect data from various sources, transform it into meaningful information, and provide valuable insights to help make better business decisions.
The main goal of BI is to provide accurate, timely, and relevant information about business performance, trends, and opportunities that can help managers and organizational leaders make better decisions. BI can also help organizations optimize business processes, improve efficiency, identify potential problems, and find new opportunities.
In general, BI involves the use of specialized software that can integrate, manipulate, and visualize data in the form of graphs, tables, and interactive dashboards.
Data sources used in
BI can come from various sources, such as buy telemarketing data databases, enterprise management systems (ERP), customer relationship management systems (CRM), supply chain management systems (SCM), and external data sources such as social media and websites.
Business Intelligence Responsibilities
Before discussing Business Intelligence tools, we must know the responsibilities in this field. Business Intelligence (BI) responsibilities include several very important aspects in the process of collecting, analyzing, and interpreting business data to help make better decisions. Some of the main BI responsibilities include:
1. Collecting and Integrating Data
BI must ensure that data obtained from various sources is accurate, integrated, and easily accessible. This involves selecting and using the right technology to collect data and ensuring that the data is well integrated with other systems and applications used by the organization.
2. Analyze Data
BI must analyze data thoroughly to identify trends and patterns that can help organizations make better decisions. This involves the use of data analysis techniques such as data mining, statistical analysis, and predictive analysis.
3. Ensure Data Security
BI must ensure data security to protect sensitive and critical business data from security threats such as data theft or cyber attacks.
4. Perform BI System Maintenance
BI must perform BI system maintenance to ensure the BI system runs well and the data used is always accurate and integrated. This includes software updates, monitoring system performance, and fixing problems that arise.
Business Intelligence Tools
Here are some examples of commonly it’s time to invest in resources and knowlge used Business Intelligence (BI) tools:
1. Microsoft Power BI
This BI software from Microsoft helps users create attractive and interactive data visualizations, reports, and dashboards. This BI tool can integrate data from various sources. Such as Excel databases and other applications, and allows users to share awb directory and access information via the web and mobile applications.
2. Tableau
This popular BI software provides powerful data visualization features, allowing users to easily create interactive dashboards and reports. The Business Intelligence (BI) tool also allows integration with multiple data sources and powerful data analysis features.
3. QlikView
This Business Intelligence (BI) tool is designed to help users find business insights in data and make better decisions. QlikView allows users to integrate data from multiple sources, aggregate data, and create compelling visualizations to make information easier to understand.
