How to use Salesforce CRM data for predictive analysis?

Salesforce is a revolutionary CRM (customer relationship management) software that can be hosted on the cloud. Salesforce bought this online platform to the universe before the term cloud computing and Software as a Service (SaaS) got familiar. This SaaS tool lets you manage all of your customers, potential customers, and sales in the cloud. It’s the perfect example of a true, full SaaS application. There are numerous other things you can achieve with the help of Salesforce. One such is utilizing its data resource for predictive analysis. Lot of Salesforce wouldn’t hear about this and here we discuss it in brief

To accomplish predictive analysis with the help of Salesforce data, there is a need to learn Salesforce data using a tool. Java Web Services API provided by Salesforce comes into play which can effectively read the Salesforce data and feed it data to R. We can export salesforce data to CSV file and importing the data into R. But this process will be tedious and time-consuming. The best option is if we can query Salesforce.com data directly from R and create a data frame or matrix for performing data analysis.

 Fortunately! We can make use of R-Java package directly from R to invoke Java code. Values returned by Java methods are available in R session memory and can be mapped to equivalent R data structures. So, theoretically, it must be possible to invoke a java method from R which connects to Salesforce.com and returns the required data.

The online customer relationship management (CRM) platform is announcing new analytics functions within the Salesforce Marketing Cloud that can help organizations by leveraging machine learning and data science to score and segment customers in real-time. This lets marketers provide each individual customer with the right campaign at the right time to increase engagement, Leslie Fine, Salesforce product VP for data and analytics, told InformationWeek in an interview.

Salesforce’s Predict Analytics Tool

The online customer relationship management (CRM) platform, Salesforce had recently included some new analytics functions within its Marketing Cloud which can assist the organizations by leveraging machine learning and data science to score and segment customers in real-time. This lets marketers provide each individual customer with the right campaign at the right time to increase engagement, Leslie Fine, Salesforce product VP for data and analytics, told InformationWeek in an interview.

Salesforce is providing these new features by taking predictive analytics directly into a new offering called Marketing Cloud Predictive Journey that includes two capabilities -- Predictive Scores and Predictive Audiences.