Business Intelligence (bi) Systems Fall Into Which Of The Following Categories?
Business intelligence (BI) systems are a critical part of any organization’s data management strategy. They allow managers to access data from various sources, make sense of it, and make informed decisions. BI systems can be divided into two general categories: on-premises and cloud-based. On-premises BI systems are installed on the company’s own servers. Cloud-based BI systems are accessed through a web browser, and the data is stored on the company’s servers.
Table of Contents
What is Business Intelligence (BI)?
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Data Warehousing
Business intelligence (BI) systems are often classified by the type of data they contain: data warehousing, data analysis, data visualization, and reporting. Data warehousing systems store and manage data in a central location, such as a database, to make it available for analysis. Data analysis systems use the stored data to create reports that help managers make informed decisions. Data visualization systems allow users to see the data in a way that is easy to understand, such as by arranging it on a map or graph. Reporting systems provide detailed information about the performance of a company, such as revenue, expenses, and employee activity.
Data Mining
Machine Learning
Online Analytical Processing (OLAP)
Business intelligence systems can be broadly classified into two categories- Online Analytical Processing (OLAP) and web-based reporting. OLAP systems allow users to analyze huge data sets quickly and efficiently. They are typically used by business managers to track and analyze data relating to business operations. Web-based reporting systems allow users to create custom reports that can be shared with other members of the organization.
Complex Event Processing (CEP)
Business Intelligence (BI) systems are used to collect, analyze, and present data in a way that can help businesses make better decisions. BI systems can be divided into two categories: simple BI systems and complex BI systems.
Simple BI systems are designed for small businesses that don’t need to use a lot of advanced features. These systems usually rely on a database to store data, and they offer limited analytics capabilities.
Complex BI systems are designed for businesses that need to use more advanced features. These systems usually use a variety of databases, and they offer a wider range of analytics capabilities. They can also include features that help businesses manage their data more effectively.
Business Activity Monitoring (BAM)
Business activity monitoring (BAM) refers to the use of data and analytics to understand what is happening in an organization and make informed decisions. This can be done through a combination of tools and methods, including active monitoring, enterprise search, machine learning, and big data. BAM can help identify and address issues early, optimize processes, and improve customer experience.
Predictive Analytics
Predictive analytics is a subset of business intelligence that uses algorithms to make predictions about future events. Predictive analytics can be used to predict the future behavior of customers, customers’ cohorts, or sales leads, for example. Predictive analytics can also be used to predict the future performance of products or services.
Conclusion
A BI system falls into one of the following categories:
1. Informational data management (IDM)
2. Operational data management (ODM)
3. Decision support (DS)
A BI system should be designed and built to fit the specific needs of the organization.
