Data strategy is one of the most important parts of any data science project. Unfortunately, it is not very recognised.

Most data science/AI projects fail, as the result of the lack of a data strategy. This is one of the reasons that on this podcast, I have talked a lot about the importance of data strategy for companies of all stages and sizes.

On this interview, we are talking with Ruben Sardaryan, who is a data strategy expert from Toronto. One of the most interesting bits of this interview is the explanation of the difference between data tactics and data strategy. Most companies focus on the former, but should really focus on the latter.

We hope you enjoy this interesting conversation!

Make sure to read more news and stories about data science and AI at The Data Scientist and check out the Tesseract Academy if you are interested in data strategy services