Business Analytics helps businesses make better decisions. In this blog, we’ll explore what Business Analytics is, how it has evolved over the years, and the latest trends in Business Analytics.
Table of Contents:
What is Business Analytics? How has it evolved over the years?
Business analytics is a domain in which one uses analytics skills to make data-driven decisions with organizational stakeholders. It requires a very versatile skillset, namely knowledge of both business and analytics. Nowadays, business analytics is used by most industries, including medicine, technology, retail, and real estate.
As a business analyst, you have to analyze historical data, deep dive into the predicted outcomes, collaborate with the stakeholders, and finally make a data-driven decision that can benefit the business. Tools like SQL, PowerBI, Excel, and Tableau are essential skills for a business analyst.
Business analytics was first introduced by a banker in 1865 to gather information about his customers before his competitors. Then he labeled the field as “scientific management.” Gradually, it was used in the manufacturing industry to analyze the movement and efficiency of the laborers. With the introduction of early computers in the late 90s, medium- and large-sized companies started providing such solutions and named them business analytics. Since then, there has been rapid development in the domain, and in the past decade, new-age technologies such as generative AI, edge computing, and other modern business intelligence tools have increased the efficiency of working on data and making data-driven decisions for the organization.
Master Business Analytics Trends with Expert-Led Training
Unlock Your Potential with a Cutting-Edge Business Analytics Course
Top Business Analytics Trends in 2025
Here are a few future trends in the business analytics domain that you should be aware of if you are switching or currently in the domain to stay updated.
1. Data Democratization
“Data Democratization” means that data should be accessible to all to make informed decisions. This will ensure faster decision-making, improved collaboration, and agility, allowing employees to take accountability for their decisions based on data.
2. Data Literacy
Data literacy means that everyone should have an understanding of the principles and techniques used to analyze the data. However, this does not mean that a subject matter expert is unnecessary. Subject matter experts will be responsible for overviewing and monitoring the overall process.
3. Artificial Intelligence
AI is such a domain that is being integrated with all the emerging technologies such as business analysis, supply chain, data science, manufacturing, etc. Artificial intelligence is used in all these fields to automate and suggest better findings from the data. Different LLMs, such as Llama, GPT, BERT, and Claude, are widely used in the industry to create AI-powered functionalities.
4. Data Governance and Privacy
With the rise of AI and GenAI, data privacy and governance is a question mark. The industry is constantly working on data leaks and security breaches. Many governments have introduced data privacy laws like GDPR and CCPA for their citizens to prevent companies from using data without consent.
5. Real-time Analytics
In this fast-paced digital world, keeping up with the pace at which data is generated is crucial. Even yesterday’s data is historical data now. So, the industry focuses on creating systems that can perform data analytics in real-time. Tools such as Apache Kafka, Apache Flink, and Apache Spark are used for making pipelines where the data generated will be ingested and analyzed in real time.
6. Cloud-Based Analytics
Cloud technologies have eased and optimized the way we store and analyze data. Using cloud technologies, we reduce our usage cost and improve efficiency with better-configured machines. This also enables real-time analytics to be handy. Cloud services like AWS Athena, AWS Quicksight, and Azure Stream Analytics are used for cloud-based analytics.
Get 100% Hike!
Master Most in Demand Skills Now!
7. Embedded Analytics
Embedded analytics is a field wherein businesses embed different analytics tools, such as dashboards and reports, into their legacy systems. This helps them with enhanced monitoring of all the different business fields by manipulating the data according to the business needs. Tools like PowerBI, Looker, and Reveal are used widely in the industry for embedded analytics.
Conclusion
Overall business analytics is such a field with which you can impact businesses as you will be closely working with stakeholders and making data-driven decisions. There are many other trends in this domain such as cloud computing analytics, cognitive analytics, and NLP. The business analytics role in 2025 seems to be promising with exponential growth in jobs and personal growth.
If you want to keep up with the latest trends you can consider enrolling in Intellipaat’s Executive Post Graduate Certificate in Business Analyst Course with IIT Roorkee. You will get exposure to all the latest technologies and trends with hands-on knowledge from industry experts and IIT faculty.