No time wasting

July 17, 2017
By

(This article was first published on Blog, and kindly contributed to R-bloggers)

Ensuring your analytic IP is given the attention it deserves

It is now widely recognised that data is the key to making informed business decisions. As such, models and code are the tools used to extract insight and should be considered very valuable IP for an organisation.

Considering data as a valuable asset, it’s important to store it so it’s easy for others within the organisation to find, reuse and repurpose this code in other projects and areas of the business.

However, there are some key challenges:

Losing code

Even if sharing code is actively encouraged inside an organisation, traditional storage platforms treat analytical code in the same way as any other file. This means that —without prior knowledge of a particular script’s existence— they can be hard to find, and in some cases lost forever in a mass of other files and scripts in the same platform.

Reproducibility

Have you ever been asked to reproduce a piece of analysis from 6 months ago? Or how about two years ago? For many, reproducing an older piece of analysis can be a huge task. Finding the script is one thing, but then knowing which version of a script was used, the data it was run against, the versions of the software that it was originally run in make this a more complex problem that you might originally think.

Wasting time

How many times have you written a script, only to find out a colleague has already written code which does the exact same thing? If this has happened to you, then it has probably happened to your colleagues.

ModSpace offers the solutions to these problems and much more.

Developed by the Mango team with modellers and statisticians in mind, it is a safe place to store analytical code and models. Plus, because ModSpace has the ability to understand analytical code when code is loaded into the system, key information is collected to make it easily discoverable by other users.

By linking ModSpace to multiple repositories around your organisation and integrating it with analysts’ preferred tools —such as R, SAS, Python, MATLAB, NONMEM and many others— you’re providing your teams with an enhanced workflow and analytic hub.

If analytical code and models are a vital part of your business, please join us on 20 July for a FREE demonstration of ModSpace.

Register now.

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