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How Artificial Intelligence Makes Business Analytics More Actionable

Written by Darby Joyce | June 17, 2025

 

Businesses across industries utilize data analytics to evaluate their successes and failures, understand consumer behavior, and better grasp market trends. As technology continues to progress, the amount of data that a business can access grows along with it, and data analysts need to remain flexible and adaptable to ensure that they’re keeping pace with their workplace. That’s where artificial intelligence comes in. Through current and emerging AI tools, the landscape of business analytics is becoming increasingly fast-paced, and the resources available to analysts for optimizing their work are expanding.

Why do I need to know about data analytics in business?

The success of a company can often be measured quantitatively using metrics like profit and customer retention. With that in mind, a strong sense of data analytics is crucial in many aspects of business work. Data analysts use concrete numbers and data to evaluate the success of a business’s strategies and make informed recommendations for next steps. Data analytics comes into play throughout a business’s processes, from operations to marketing, and strong analytical skills can help rising professionals gain a competitive edge when entering the business world.

How does artificial intelligence support business analytics processes?

Since the advent of the internet, data collection capacities have ballooned, and analysts now have enormous amounts of data to parse when it comes to making decisions. Artificial intelligence can significantly streamline this process through automatic data processing and pattern recognition. This leaves more tedious and repetitive tasks to AI tools, reducing the chance of human error and enabling analysts to quickly gain insights from large datasets that they can then use in their own decision-making.

Advanced AI techniques such as natural language processing (NLP) and machine learning (ML) take the capabilities of data analytics a step further through predictive analytics and forecasting. Machine learning models allow AI tools to utilize previously analyzed data to make predictions about everything from market trends to consumer behavior, which analysts can then use to make recommendations about a company’s behavior. By providing insights based on existing data, AI can support business professionals at all levels in determining the success of their current initiatives and identifying changes that can lead to more effective strategies.