Six Tips for More Accurate Cost Prediction Models
Do you use your data science skills to develop cost prediction models? If so, then clients want to know your results are reliable for accurate expectations.
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Do you use your data science skills to develop cost prediction models? If so, then clients want to know your results are reliable for accurate expectations.
In the digital world, the need to better understand marketing actions has generated the apparition of a new concept: analytics. One year after Forbes proclaimed 2014 the year of the analytics, the importance of the discipline has not dropped one bit: with the ever increasing role of the digital element in our lives, marketers continue to require insights into what the impact of their campaigns is, how users respond to marketing messages, or how often websites are visited, and so on.
At the beginning of the 2014 World Cup in Brazil, speculations were, as always, intense about who is going to win, this time around. As the most important sporting event in the football world was about to start, the sheer number of global audiences it gathers was bound to lead to a vast array of biased or unbiased predictions for its final outcome. Needless to say, it most definitely did.
On the second day of the Balanced Scorecard Forum, the afternoon sessions were structured into three “How To” Clinics.
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