How to Use Data Analytics to Boost Your Business

If you’re looking to use data analytics to boost your business in 2025, then Agentic AI and real-time embedded analytics are the leading edge tools you need to know. These emerging trends are redefining how businesses act on insights—transforming data from a reference to a driver of action. In this fast-paced era, leveraging these capabilities can mean staying ahead instead of falling behind competitors.

What’s Next in Data Analytics: Agentic AI and Embedded Insights

Agentic AI: Analytics That Acts

Agentic AI is a step beyond traditional analytics—it doesn’t just offer insights; it takes initiative. It understands business goals, executes tasks, and adapts strategies autonomously in real time. Across sectors such as finance, HR, and manufacturing, companies deploy Agentic AI to streamline operations, personalize marketing, and anticipate customer needs—while keeping human oversight intact .

Gartner reports that 73% of insights generated by traditional AI never lead to action. Agentic AI bridges that gap by turning data into decisions quickly, reducing response delays, and freeing teams to focus on creativity and judgment .

Embedded Analytics: Insights Where You Work

Embedded analytics brings data visualizations directly into the tools and platforms you already use—whether that’s a CRM, mobile app, or dashboard. With embedded analytics, charts and metrics are always in view, eliminating tool switching and making data analysis seamless and efficient.

Why These Trends Help You Use Data Analytics to Boost Your Business

1. Speed and Operational Agility

Real-time embedded analytics enables you to act immediately. Whether adjusting offers on your website, reordering inventory, or responding to service issues, up-to-the-second insights let you act—not react.

2. Autonomous Decision Execution

Agentic AI transforms insights into action without human prompting—for example, adjusting marketing campaigns or routing leads—helping you stay agile and reduce wasted time.

3. Wider Adoption Across Functions

According to McKinsey, 78% of organizations now use AI in at least one business function—a big leap from 55% just a year earlier. Generative AI use alone now stands at 71%. This widespread integration makes it feasible for businesses of all sizes to use data analytics to boost your business consistently.

4. Democratized Access and Governance

Trends such as democratization of analytics and augmented analytics enable non-technical users to query data, gain insights, and even interpret results using natural language or no-code tools—which enhances collaboration and speeds decision-making .

Practical Steps to Use Data Analytics to Boost Your Business

1. Begin with Clear Goals

• Identify your primary objectives: improve retention, cut costs, or optimize pricing.
• Ensure that your analytics tools align with these goals, and embed dashboards where decisions happen.

2. Implement Real-Time Embedded Analytics

• Choose platforms like Power BI, Looker, or other analytics dashboards integrated into your business tools.
• Embed key metrics—sales trends, support ticket queues, workflow bottlenecks—directly into active workflows.

3. Pilot Agentic AI Use Cases

• Identify repetitive, rule-based processes that can benefit from AI autonomy (e.g., restocking alerts, customer triage).
• Start with limited, monitored deployments to ensure reliability and trust.

4. Promote Data Literacy Across Teams

• Use user-friendly, augmented analytics tools that allow staff to explore data via natural language and visual insight.
• Provide training on data interpretation and responsible tool use to guard against misinterpretation.

5. Maintain Governance and Ethical Practices

• Use frameworks for responsible AI to ensure fairness, privacy, and reliability.
• Leverage emerging best practices for explainable AI—especially important when autonomous AI makes decisions at scale.

Real-World Momentum Behind the Trend

• According to PwC, about 49% of tech leaders say AI is fully integrated into their core business strategy—and organizations are already using it to optimize sustainability data, R&D, and supply chain insights.
• Nearly 65% of companies have adopted or are exploring AI for data and analytics in 2025, automating tasks like anomaly detection and predictive maintenance across industries .
• Case in point: LVMH built a centralized AI platform—MaIA—across its 75 luxury brands. It serves 40,000 employees and processes over 2 million requests monthly, using generative AI for design, supply chain, pricing, and personalization.

These examples show how companies are already using trends like Agentic AI and embedded analytics to use data analytics to boost your business—in efficiency, personalization, and responsiveness.

Summary: How to Use Data Analytics to Boost Your Business

Strategy	Action Steps
Define Goals	Focus analytics where it matters—growth, retention, ops
Embed Real-Time Analytics	Integrate dashboards into your key workflows
Trial Agentic AI	Automate low-risk tasks that benefit from fast action
Empower Teams with Analytics	Use augmented and no-code tools to broaden access
Govern Responsibly	Ensure ethics, fairness, and accuracy in AI applications

Conclusion

If your goal is to use data analytics to boost your business, harnessing Agentic AI and embedded real-time analytics positions you for smarter, faster, and more adaptive operations. The future isn’t about just viewing data—it’s about having systems that act on it, with oversight and strategy. Start small, scale thoughtfully, and embed insights directly into how decisions are made. That’s how you shift from data being informative to data being transformative.

References

• Gartner. (2025). Top Trends in Data and Analytics for 2025. Retrieved from https://www.gartner.com
• Forbes. (2025, February 14). The Biggest Data Analytics Trends That Will Dominate 2025. Retrieved from https://www.forbes.com
• McKinsey & Company. (2025). Data and Analytics: The Next Frontier for Business Growth. Retrieved from https://www.mckinsey.com