Data science solutions – Build vs buy

Many data scientists are working in companies with less advanced technology infrastructure.

But these companies still wish to solve their business problems with the help of data science / analytics.

At this point usually a question arises, “Should we build or buy a solution to solve this problem with data science?”.

As nicely pointed out by this whitepaper from Anaconda, there are a few factors that we should consider before making the decision:
✔️Cost-effectiveness / return on investment
✔️Needs for customisation
✔️Time to value
✔️Vendor dependence
✔️Support required Most data scientists, myself included, have a strong urge to build our own solution to solve a problem.

But is this always the right approach?

Leave a comment

Your email address will not be published. Required fields are marked *