Data Analyst

Data Analyst


In this evergreen and ever useful post from Christophe de Greift, he provides the key questions an executive should ask a data analyst to ensure they can deliver what is required. 

Voice recognition, interview robots, real-time movie recommendations, advanced data analytics are a part of our everyday lives and cannot be ignored by the 21st century manager. The potential benefits for the company are found along the chain of value, from purchases to after-sales, through talent management.

To reap these benefits, an organization must develop diverse capabilities in data management, analytics and planning for example. Each of those capabilities represents a challenge in itself, but I would like to address another major obstacle to adopting advanced analytics in this article: executive confidence in the outcome. Indeed, the most valuable algorithms such as ‘deep learning’ in artificial intelligence are also the least understood, generating a natural fear of misuse that an executive must overcome before being able to properly use those tools.

Hiring the best scientist is not enough to avoid going from artificial intelligence to artificial stupidity, since the knowledge and business judgment of the senior executive is essential in the decision-making process supported by data analysis.

I learned during my years of consulting that asking the right questions is complex but powerful… Therefore, I recommend a list of questions for the executive to ask throughout the decision-making process, from problem conceptualization to conclusion.


Key questions include:

  • How do we ensure random selection of data?
  • Using what criteria do we filter inconsistent or atypical data?
  • Why is the algorithm used the most suitable?


Read the full article, 10 Questions to Trust a Data Analyst, on