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Create data visualizations and use high-performance statistical functions to analyze Act CRM data in Microsoft R Open.
Access Act CRM data with pure R script and standard SQL. You can use the CData ODBC Driver for Act CRM and the RODBC package to work with remote Act CRM data in R. By using the CData Driver, you are leveraging a driver written for industry-proven standards to access your data in the popular, open-source R language. This article shows how to use the driver to execute SQL queries to Act CRM data and visualize Act CRM data in R.
Install R
You can complement the driver's performance gains from multi-threading and managed code by running the multithreaded Microsoft R Open or by running R linked with the BLAS/LAPACK libraries. This article uses Microsoft R Open (MRO).
Connect to Act CRM as an ODBC Data Source
Information for connecting to Act CRM follows, along with different instructions for configuring a DSN in Windows and Linux environments.
The User and Password properties, under the Authentication section, must be set to valid Act! user credentials. In addition to the authentication values, see the following:
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Connecting to Act! Premium
In addition to the authentication values, the URL to Act! is also required; for example https://eup1-iis-04.eu.hosted.act.com/.
Additionally, you must specify the ActDatabase you will connect to. This is found by going to the About Act! Premium menu of your account, at the top right of the page, in the ? menu. Use the Database Name in the window that appears.
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Connecting to Act! Premium Cloud
To connect to your Act! Premium Cloud account, you also need to specify the ActCloudName property. This property is found in the URL address of the Cloud account; for example https://eup1-iis-04.eu.hosted.act.com/ActCloudName/.
Note that retrieving ActCRM metadata can be expensive. It is advised that you set the CacheMetadata property to store the metadata locally.
When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
Windows
If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
Linux
If you are installing the CData ODBC Driver for Act CRM in a Linux environment, the driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties.
/etc/odbc.ini
[CData ActCRM Source]
Driver = CData ODBC Driver for Act CRM
Description = My Description
URL = https://myActCRMserver.com
User = myUser
Password = myPassword
ActDatabase = MyDB
For specific information on using these configuration files, please refer to the help documentation (installed and found online).
Load the RODBC Package
To use the driver, download the RODBC package. In RStudio, click Tools -> Install Packages and enter RODBC in the Packages box.
After installing the RODBC package, the following line loads the package:
library(RODBC)
Note: This article uses RODBC version 1.3-12. Using Microsoft R Open, you can test with the same version, using the checkpoint capabilities of Microsoft's MRAN repository. The checkpoint command enables you to install packages from a snapshot of the CRAN repository, hosted on the MRAN repository. The snapshot taken Jan. 1, 2016 contains version 1.3-12.
library(checkpoint)
checkpoint("2016-01-01")
Connect to Act CRM Data as an ODBC Data Source
You can connect to a DSN in R with the following line:
conn <- odbcConnect("CData ActCRM Source")
Schema Discovery
The driver models Act CRM APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:
sqlTables(conn)
Execute SQL Queries
Use the sqlQuery function to execute any SQL query supported by the Act CRM API.
activities <- sqlQuery(conn, "SELECT ActivityDisplayName, Subject FROM Activities", believeNRows=FALSE, rows_at_time=1)
You can view the results in a data viewer window with the following command:
View(activities)
Plot Act CRM Data
You can now analyze Act CRM data with any of the data visualization packages available in the CRAN repository. You can create simple bar plots with the built-in bar plot function:
par(las=2,ps=10,mar=c(5,15,4,2))
barplot(activities$Subject, main="Act CRM Activities", names.arg = activities$ActivityDisplayName, horiz=TRUE)
