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https://web.archive.org/web/20230626073845/https:/developers.facebook.com/blog/post/2023/06/14/why-did-marketing-science-at-meta-develop-marsci-an-internal-R-library

Why did Marketing Science at Meta develop marsci, an internal R library?

How can we make sure that a new development or insight uncovered by one person effectively transfers to the rest of the team? In small teams we often write single functions, scripts and templates to optimize our personal workflows; but, as the team grows, different people start developing their own tools and code to solve similar problems. The Marketing Science (marsci) R library addresses this issue by centralizing and supporting daily analytical and technical tasks.



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Why did Marketing Science at Meta develop marsci, an internal R library?

https://web.archive.org/web/20230626073845/https:/developers.facebook.com/blog/post/2023/06/14/why-did-marketing-science-at-meta-develop-marsci-an-internal-R-library

How can we make sure that a new development or insight uncovered by one person effectively transfers to the rest of the team? In small teams we often write single functions, scripts and templates to optimize our personal workflows; but, as the team grows, different people start developing their own tools and code to solve similar problems. The Marketing Science (marsci) R library addresses this issue by centralizing and supporting daily analytical and technical tasks.



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https://web.archive.org/web/20230626073845/https:/developers.facebook.com/blog/post/2023/06/14/why-did-marketing-science-at-meta-develop-marsci-an-internal-R-library

Why did Marketing Science at Meta develop marsci, an internal R library?

How can we make sure that a new development or insight uncovered by one person effectively transfers to the rest of the team? In small teams we often write single functions, scripts and templates to optimize our personal workflows; but, as the team grows, different people start developing their own tools and code to solve similar problems. The Marketing Science (marsci) R library addresses this issue by centralizing and supporting daily analytical and technical tasks.

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