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About this blog

Retailers traditionally relied on instincts and experience to make critical decisions about inventory, pricing, and location. However, in today’s competitive market with narrow profit margins and rapidly changing consumer preferences, intuition alone is insufficient. Data analytics enhances decision-making in retail businesses by providing precise, data-driven insights. This technology helps retailers optimize their strategies, ensuring they can meet demand accurately, manage inventory efficiently, and adjust prices effectively. By integrating data analytics in retail, businesses can refine their instincts and make more profitable decisions in a complex market environment. 

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Entries in this blog

Why Cybersecurity is Non-Negotiable for Enterprises

In today's digital landscape, businesses face constant threats from cybercriminals, leading to financial losses, reputational damage, and operational disruptions. The average cost for detecting and escalating a data breach is $1.58 million, highlighting the importance of robust cybersecurity measures. With companies relying on third-party SaaS tools, cloud platforms, and AI like ChatGPT, protecting essential systems and data is critical. Customers trust businesses with their data for daily

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GTL in Cybersecurity

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