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Replica Synthesis Review

3

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Very good

Revainrating 4.5 out of 5  
Rating 
4.3
Artificial Intelligence, Synthetic Data

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Description of Replica Synthesis

Replica Synthesis software ingests real data and builds data synthesis models to generate high utility synthetic datasets.

Reviews

Global ratings 3
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Type of review

Revainrating 5 out of 5

Very useful tool for data simulation and population health analytics

The user interface is intuitive, easy-to-use and very clear for those with little background in R or SQL programming. We have been able to use it as an engine for simulating patient cohorts under different treatment scenarios using our existing databases and code. It also has the capability of generating some useful summary statistics that are not readily available from other tools. There are few packages we couldnt import directly into this tool without first converting them to the format…

Pros
  • This software does exactly what its designedfor; i

Revainrating 4 out of 5

Easy and useful data management software

There are many aspects of this product that I like, such as being able to use it with R or Python for statistical analysis (both in-house & published papers). The interface is easy enough so non-technical users can work without issue. It's fairly inexpensive compared to other products out there. What we don't have right now is an option where you could create your own "synthetic" variables from existing ones instead of having them all preloaded into the system by default - which would be…

Pros
  • Easy access via web browser + mobile app.
  • Great platform if not overly technical user; allows quick data processing,
  • , intuitive layout makes navigating difficult files simple., well documented methods make troubleshooting easier when necessary
Cons
  • Lack any customization options beyond basic templates
  • User manual leaves much room needed

Revainrating 4 out of 5

A simple and powerful free software to do data analysis

The ability of this tool is that it can be used for both large scale as well small-scale projects (such model building). Also, I like its user interface which makes easy operation by anyone without any deep knowledge about statistical methods/techniques or programming languages! There are some limitations such us not compatible with other programs; however we have solved them in our way using python library from scikit package so far nothing serious at all just minor issues related only Python…

Pros
  • Very comprehensive software to apply different modelling techniques.
  • Can handle very complex problems
  • Easy usage even non experts would do fine after 5 mins training session!!(just needs little help when starting)
  • User friendly UI + GUI &
Cons
  • Only works under windows platform
  • Not possible directly import data set into memory instead loading each file separately