Business Intelligence vs. Business Analytics: Comparing the Fields

Making good decisions is essential in any enterprise. A 2025 Forbes report noted that effective decision-making can strengthen profitability, build cohesive teams, and promote innovation; on the other hand, poor decision-making can lead to financial loss, harm staff morale, and damage an organization’s reputation. 

Fortunately, contemporary organizations can employ some data-driven approaches to help them make better decisions. Two of these approaches are business intelligence and business analytics. Business intelligence focuses primarily on current operations, while business analytics is more focused on the future.

Exploring business intelligence vs. business analytics can be valuable for anyone considering pursuing a career using data to help organizations succeed. These individuals can also benefit from earning an advanced degree in artificial intelligence (AI), data science, or a related field.
 

Overview of Business Intelligence vs. Business Analytics

Understanding some basic definitions can be helpful when comparing business intelligence and business analytics.

• Business intelligence is largely descriptive in nature, using technology to collect, manage, and analyze organizational data and extract insights.
• Business analytics is largely forward-thinking in nature, relying on technologies such as data modeling and machine learning to anticipate future outcomes, which can be invaluable in making strategic decisions.

Both business intelligence and business analytics can provide organizations with key information through data, and both depend on good data management to do so. Both of these fields rely on data science techniques and technologies, including AI systems and tools.

It’s important to recognize that organizations don’t have to choose between using business intelligence or business analytics. For example, an organization can use business intelligence to identify the processes or initiatives that are currently working well. It can also use business analytics to anticipate future developments and make strategic decisions that can help it continue to operate effectively in the coming years.
 

The Field of Business Intelligence

Using business intelligence can help organizations understand performance and make data-informed decisions. When working in business intelligence, professionals collect and integrate data from several sources. They can then use that data to identify trends and anomalies, create data visualizations such as dashboards, or generate helpful reports.

Business intelligence insights can help organizations improve operations in many ways:

• Identifying and addressing inefficiencies or bottlenecks in current processes
• Monitoring employee performance
• Better understanding customer behavior
• Allocating resources more efficiently

Business Intelligence Educational Requirements

People who want to work in business intelligence can pursue careers as business intelligence analysts or data analysts. They generally need to earn at least a bachelor’s degree in computer science, math, statistics, or a related field.

Completing a master’s degree in a field such as data science or artificial intelligence isn’t always required to work as a data analyst, but it can be beneficial for developing advanced skills, taking on specialized roles, or advancing into leadership.

Key Business Intelligence Skills

To work in business intelligence, an individual benefits from developing strong skills in areas such as:

• Analyzing data to identify patterns or trends and draw conclusions
• Paying attention to detail
• Using programming languages (e.g., Python, JavaScript) and query languages (e.g., Structured Query Language [SQL])
• Applying generative AI tools to automate tasks
• Communicating with others 
• Solving problems
   

The Field of Business Analytics

In contrast to business intelligence, business analytics focuses more on predictive analytics and making projections or forecasts that enable businesses to anticipate and prepare for future developments. In addition, while business intelligence generally requires more structured data, business analytics processes can take unstructured data and transform it into more organized formats for analysis.

Using business analytics tools can help organizations accomplish a wide variety of key tasks:

• Identifying patterns and trends that influence business performance
• Evaluating possible decisions that could benefit an organization
• Recommending adjustments to strategies or plans
• Forecasting consumer demand

Business Analytics Educational Requirements

Becoming a data scientist or data analyst is a great way to pursue a career in business analytics. Data scientists and data analysts generally need to earn at least a bachelor’s degree in data science, computer science, information technology (IT), statistics, or a related field. 

While earning a master’s degree in a field such as data science or artificial intelligence isn’t always required, it can help individuals pursue higher-level leadership roles.

Key Business Analytics Skills

To pursue a career as a data scientist in business analytics, it’s beneficial to develop strong skills in areas such as:

• Using expertise in math and statistics to create predictive models
• Working with programming languages such as Python
• Applying machine learning algorithms to datasets
• Relating data insights to business concepts
• Communicating with others
• Managing time
   

Salary and Job Growth for Business Intelligence and Business Analytics Professionals

In general, salaries and job prospects are attractive in computer and IT occupations. According to the U.S. Bureau of Labor Statistics (BLS), individuals who worked in those occupations:

• Earned a median annual salary of $105,990 as of May 2024
• Can expect employment in computer and IT occupations to grow much faster than the average for all occupations from 2024 to 2034, with an average of 317,700 job openings projected each year

While the BLS doesn’t report employment data specifically for business intelligence or business analytics professionals, its data scientist category provides a useful benchmark for data-focused careers. According to the BLS, data scientists:

• Earned a median annual salary of $112,590 as of May 2024
• Can expect 34% employment growth from 2024 to 2034, significantly faster than the forecast of 3% employment growth across all occupations during that time frame
   

Build Data Science Skills for Business Intelligence or Business Analytics

Whether you focus on business intelligence or business analytics, you can pursue solid careers gleaning insights from data. Working in either field allows you to make a meaningful contribution to organizational success.

The Master of Science in Artificial Intelligence and Data Science from Tseng College at California State University, Northridge is a fully online, two-year degree program that helps you develop business intelligence and business analytics skills through hands-on coursework and real-world applications. You can learn to analyze large datasets using machine learning and statistical inference, develop and evaluate data science models and algorithms, apply data engineering techniques, and communicate actionable insights through data visualization.

Explore CSUN’s AI and data science program and start working to realize your business intelligence and analytics ambitions today.