I was given a list of over 2000 company names and asked if it was possible to find which of those we have as accounts in our Dynamics CRM. There were no unique identifiers to directly match the companies apart from their names which could also potentially be spelt differently.
In this guide we will create an HTTP endpoint using flow , which Monzo will call every time a new transaction occurs in our account. I will also provide a few examples as to what you can do with the data provided to us from Monzo but the possibilities are pretty much endless with Flow. Although this is aimed at Monzo account users, this same principles can be applied to any other service that allows you to create webhooks!
The URL field in dynamics can display web address and also act as a hyperlink. Great if users are going to be updating the field and navigating to the url .In an example situation where either you auto generate the url with a workflow or set using a data import long urls don’t really look that nice on the form.
Following on from Part 1 where we created a plugin to send text messages. In this version we will use Microsoft Flow instead of the plugin. Although flow is easier to set up, I personally prefer the plugin method, as it gives you a lot more flexibility as well as sending instantly, if being run synchronously. Flow can sometimes take a few minutes to start.
This guide will show you how to implement an SMS activity that will allow you to send text messages from within dynamics using Twilio . This version requires a plugin to be written however i will be showing you how to make a no code version using flow in part 2.
Data Programming Tools
For this project R will be used as the core programming tool using R Studio as the IDE. R is a statistical programing language based on the S programming language. R was initially released in 1995 by Ross Ihaka and Robert Gentleman at the University of Auckland New Zealand. According to (Piatetsky, 2015) R is the most widely used tool for predictive modelling with 38% share of users compared to the next competitor RapidMinder with only 31% in 2014. R is used in a variety of areas such as for data mining and data analysis. R has a wide of range of tools available that can be used to create this solution.