The senior leadership at a national E-Commerce company possessed a unique and potentially invaluable resource. This asset could be a game changer for them in terms of an enhanced customer experience, increased business volumes and improved customer loyalty. This asset was customer data. The senior leadership team understood how a custom recommendation could be built however their data was not in the right form to enable this.
- See how feature standardization works
- Practical utilization of Natural Language Processing (NLP)
- Analysis and type classification
- Product sentiment analysis from data mining
See how this national E-Commerce company leverage the transformative power of Data Science to realize their goals by streamlining their data. Download the case study now.