The Hidden Costs of Data Science: Why Your Business Needs a More Affordable Approach
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Data science. It's the buzzword that's been sweeping through boardrooms and tech conferences for years. Everyone knows they need it, especially in the rapidly evolving world of FinTech . Businesses are told that unlocking the power of their data is the key to growth, innovation, and staying ahead of the competition. But what many don't realize are the often-hidden, surprisingly high costs associated with building and maintaining a robust data science capability. It's not just about fancy algorithms; it's about a whole ecosystem that can drain your budget faster than you can say "predictive analytics." The Price Tag on Talent: Why Data Scientists Are So Expensive Imagine you're building a dream team for your business. For data science, you're not just looking for someone who can crunch numbers. You need a unicorn – a highly skilled professional who understands statistics, can code in languages like Python and R, has a keen business sense, and can ...