Grist vs. Shiny

This is well suited to someone (or a team) who are technically minded and have a dataset that they need to be able to use in many ways. It's less appropriate for a team who isn't technically minded and/or don't have the data they need to manipulate. It would be useful for things that you could use a database or spreadsheet for such as CRM, Advertising database, Business tracking, Health tracking etc.

Incentivized

Shiny is well suited where an organisation is looking to empower their analysts to minimise time spent on repetitive analysis by deploying repeatable analytical pipelines, but also looking for them to add greater value to the organisation by utilising more advanced analytical techniques. Ideally it is well suited where IT are on board and supportive of some of the more advanced features such as deploying R Shiny dashboards.

Incentivized

• Provides amazing customer service, help, examples, and explains what they are having you do
• The layout is easy

• Data tables are appealing to look at.
• Enables us to create trend indexes in an effective way.
• Easy to integrate with the rest of my R syntax.

Incentivized

• Making the user permissions more obvious on how to use them - They are highly adaptable, but hard to understand how to use them
• Small changes such as auto colouring the choices/toggles options and being able to edit them once set.
• Being able to copy the formatting from one column to the next

Incentivized

• Easier ways to connect to data sources
• Better access control for different roles in the organization
• Video material that allows a better learning experience

Incentivized

Grist is easier to use, faster, and loads quicker with heavy data.

- Faster response working with a large amount of data. - R Studio connection and flexibility. - Scenarios modelling.

Incentivized

• It's saved a lot of time in both creating an advertising database and managing it week to week effectively. I had previously created in others that haven't worked, and this does, saving me a good 1 hour weekly, and 5 hours or more each time I had problems with the last ones
• Being able to stay on track with this has meant I'm following up at the right time (advertisers) and keeping a professional manner and not losing business due to missed communication
• Saving me $ from buying a program like Access (or Airtable monthly) and then the learning curve that that has. This has a much easier learning curve to say the least.

Incentivized

• We saw a good involvement to researchers when showing their models in shiny.
• We can have a quicker review from the user when the model is in production.
• False positives can be found easily and they help the retraining of the model.

Incentivized