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About the Book
In today’s fast-paced digital economy, small and medium enterprises (SMEs) face the challenge of leveraging data and artificial intelligence to stay competitive. AI-Integrated Business Analytics for SMEs: A Practical Framework provides a step-by-step guide to transforming business operations with AI-driven analytics, making data a strategic asset rather than a complex burden. Drawing from real-world case studies and proven methodologies, this book introduces the DAIAM Framework, a structured approach designed specifically for SMEs to adopt, integrate, and scale AI-powered analytics without the need for massive budgets or technical expertise. From sales forecasting and inventory optimization to financial reporting and customer segmentation, this book offers practical insights, actionable strategies, and tangible results to help SMEs unlock the power of AI. Whether you're a business owner, analyst, or consultant, this book will equip you with the tools to navigate AI adoption, overcome implementation challenges, and build a data-driven, future-ready enterprise.
About the Author
Daria Kalishina is the CEO of DKey Business Solutions, a company specializing in data analytics consulting for small and medium-sized enterprises (SMEs). With a background in business intelligence and a passion for AI integration, Daria has helped numerous organizations transform their data into actionable insights. As an advocate for making advanced analytics accessible, she developed the DAIAM methodology, which empowers SMEs to leverage AI-driven analytics without the complexity. Daria holds an MBA with a Graduate Certificate in Business Analytics and has published several papers on artificial intelligence's role in business growth. When not leading her company, she enjoys exploring how emerging technologies can reshape business practices.