By analyzing consumer data, retailers are able to pinpoint trends and translate them into business practices to increase engagement and profits. While the practice is paying off for many brands, some are struggling with the transition from business intelligence to data science.

Originally published in Retail Minded, this article will help you overcome major roadblocks to getting data science up and running at your organization, such as:

  • Ignoring predictive modeling
  • Hiring the wrong talent for critical roles
  • Focusing on a limited data set
  • Putting profits ahead of customer experience
  • Failing to invest in the right data architecture