DIY Predictive Modeling – Pitfalls and Opportunities
As predictive analytics comes of age, we’re hearing a lot about data science methodologies like machine learning and data modeling. Until recently, these complex techniques were only employed by a relatively small group of data scientists. But new cloud services for machine learning from the likes of Amazon, Google and Microsoft claim to finally make it easy for any business to take advantage of the predictive revolution. As these types of solutions become common in the market, more do-it-yourself (DIY) tools will emerge for industry-specific flavors of predictive analytics in data-rich sectors like financial services, healthcare or retail, as well as in certain functional areas like predictive sales or marketing. As a marketer and aspiring data geek myself, this idea is energizing. However, while self-service modeling solutions represent an exciting…
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DIY Predictive Modeling – Pitfalls and Opportunities
