Abstract: Data analytics has become a game-changer across industries—and the consulting sector is no exception. This study explores how analytics is reshaping the way consulting firms operate and deliver value to their clients. As businesses increasingly rely on data to guide their decisions, consultants are turning to advanced tools like predictive modeling, machine learning, and data visualization to offer smarter, faster, and more personalized solutions.The research dives into how these technologies are being used to support strategic planning, improve efficiency, and uncover deeper insights for clients. By drawing on real-world examples, industry reports, and existing research, the study highlights how analytics is helping consulting firms move beyond traditional, experience-based advice to more evidence-backed recommendations. It also looks at the practical benefits—such as better forecasting, trend analysis, and performance tracking—as well as the challenges, including data privacy concerns, skill shortages, and the need to integrate analytics into long-standing business models.One key takeaway is that firms embracing analytics are not only becoming more agile and competitive but are also building stronger relationships with clients by offering more relevant and impactful advice. However, making this shift requires more than just new tools—it also calls for cultural changes, ongoing training, and a clear strategy for how data will be used. In conclusion, analytics is no longer just a support function in consulting; it’s becoming central to how firms create and deliver value. Those that adapt effectively are likely to lead the industry into a more data-driven, results-focused future. The study wraps up with insights on how consulting firms can successfully integrate analytics and where future research could further support this transformation.
Keywords: Data Analytics, Data-Driven Strategy, Strategic Decision-Making, Business Intelligence
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DOI:
10.17148/IARJSET.2025.125126