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Exploring Business Analytics: Courses for Data-driven Success



Courses on Business analytics is a set of disciplines and technologies for solving business problems using data analysis, statistical models, and other quantitative methods. It involves an iterative, methodical exploration of an organization’s data, with an emphasis on statistical analysis, to drive decision-making. The increase of the internet and information technology has made analytics very relevant in the current age. Analytics is a field that combines data, information technology, statistical analysis, quantitative methods, and computer-based models into one. These all are combined to provide decision-makers with all the possible scenarios to make a well-thought and researched decision. The computer-based model ensures that decision-makers can see the performance of decisions under various scenarios.

Components of Business Analytics

Modern-world business strategies are centered on data. Business Analytics, Machine Learning, Artificial Intelligence, Data Science, etc. are used to arrive at solutions for complex and specific business problems. Even though all of these have various components, the core components remain similar. The following are the core components of Business Analytics:

Data Storage

The data is stored by the computers in a way that it can be further used in the future. The processing of this data using storage devices is known as data storage. Object storage, Block Storage, etc. are some of the storage products and services.

Data Visualization

It is the process of graphically representing the information or insights drawn through the analysis of data. Data visualization makes the communication of outputs to management easier in simple terms.


Insights are the outputs and inferences drawn from the analysis of data by implementing business analytics techniques and tools.

Data Security

One of the most important components of course on business analytics is Data Security. It involves monitoring and identifying malicious activities in the security networks. Real-time data and predictive modeling techniques are used to identify vulnerabilities in the system.

Business Analytics Tools

Business analytics tools empower companies to visualize, organize, and analyze, critical organizational data. These technologies provide a platform that makes business intelligence clear and actionable.

Several types of business analytics tools exist, with capabilities that enable various insights based on data as part of a complete solution. Among the most popular are:

SAS Business Analytics 

SAS Business Analytics is a collection of data visualization, analysis, and reporting tools offered by the SAS Institute. It provides self-service and governed data discovery capabilities that enable all types of users to easily explore data on their own while ensuring security and consistency. 


QlikView is a popular business intelligence and data analytics platform, which provides interactive data visualizations and guided analytics features. It utilizes a rapid data indexing engine along with an associative experience that allows users to freely explore data relationships.


Splunk is a data analytics solution focused on collecting, indexing, and analyzing real-time data generated by IT infrastructure and applications to provide operational intelligence. It utilizes machine learning to provide security monitoring, application management, and IT analytics to users through correlating data, regardless of its format or source.


KNIME Analytics Platform is an open-source business intelligence tool built specifically for advanced data science integration, modeling, visualization, and reporting. It enables the assembly of reusable data transformation workflows through an intuitive, drag-and-drop interface. KNIME integrates machine learning and deep learning models, Python & R scripts, SQL database connectivity, and advanced business intelligence operators.

Dundas BI

Dundas BI is a flexible, full-featured business analytics solution offering interactive data visualization capabilities for faster business insights. It provides businesses with the ability to track KPIs, build stunning reports, and access data across departments on one intuitive platform. Dundas BI speeds up informed decision-making through effortless information discovery, exploration, and collaboration. 

Types of Business Analytics

There are mainly four main types of courses on Business Analytics, and each of these types is increasingly complex. They allow us to be closer to achieving real-time and future situation insight applications. Each of these types of business analytics has been discussed below.

  • Descriptive Analytics 

It summarizes an organization’s existing data to understand what has happened in the past or is happening currently. Descriptive Analytics is the simplest form of analytics as it employs data aggregation and mining techniques.

  • Diagnostic Analytics 

The courses on business Analytics help shift focus from past performance to current events and determine which factors are influencing trends. 

Predictive Analytics

This type of Analytics is used to forecast the possibility of a future event with the help of statistical models and ML techniques. It builds on the result of descriptive analytics to devise models to extrapolate the likelihood of items. 

Prescriptive Analytics

Going a step beyond predictive analytics, it provides recommendations for the next best action to be taken. It suggests all favorable outcomes according to a specific course of action and also recommends the specific actions needed to deliver the most desired result. It mainly relies on two things, a strong feedback system and a constant iterative analysis. 


The courses on business analytics in recent years, the popularity of business analytics is grown rapidly around the world because business analytics helps organizations extract meaningful information from data that enables them to better serve their customers. 

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