Turn Data Science Into Competitive Edge
Published in
5 min readApr 20, 2019
How to capitalize on your big data investment? Does investment in big data mean a competitive edge? I argue it is not, at least not yet. There is one more step to complete the picture: it is the success in the adoption and implementation of data science models and analytics that gives a competitive edge. In this post I want to share with you a few strategic perspectives:
- Model explainability and implementation eventually turn your big data investment into competitive advantages
- Use a series of adopted models, not just a model, to give a series of smart and informed business decisions. This will let you harvest the monetary fruits.
- Build a disciplined organization that follows the cycle of creating, explaining, adopting, and implementing new models to capitalize on the data investment.
- The bottleneck is model explainability. Use tools like the SHAP values to decompose your complex models to get the buy-in. See my posts “Explain Your Model with the SHAP Values” and “Explain Any Models with the SHAP Values — Use the KernelExplainer”.
If you are new to data science or want to get a 5-minute to debrief about data science, watch the video clip below.