Framing Data Science Problems the Right Way From the Start


The failure rate of data science initiatives — often estimated at over 80% — is way too high. Experts have spent years researching the reasons contributing to companies’ low success rates and have identified one under-appreciated issue: Too often, teams skip right to analyzing the data before agreeing on the problem to be solved. This lack of initial understanding guarantees that many projects are doomed to fail from.....
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