“Facebook has around 1.01 billion people using its site every month”
“Number of tweets in twitter is more than a billion per month”
“90% of all data in the world has been generated in last couple of years”
That is the kind of data explosion that you witness in Social media. It is obvious that for any meaningful sensing of this data that makes relevance to your context definitely right tool is required, otherwise you would get easily lost in megabytes of data generated every minute.
One such application is Oracle Social Cloud that brings in best-in-class features to cut through the noise to listen what you would like to hear. Let me try to summarize here one of the simple but powerful feature of Oracle Social Cloud “Listening” module that would help to configure what you would like to listen and brings you interesting facts & figures on the social data that is of relevance to you.
Assume a simple use case that you are a prospective entrepreneur who is interested in setting up a restaurant franchise. You are clueless on what franchisee chain that you should opt for better profitability and growth. Knowing the power of Social media you decide to bet on it to understand what people are taking about different restaurant franchise chains like McDonalds, Pizza Hut and KFC to make a better decision in selecting one of these Franchises.
Oracle social cloud is right here to help you out. Go to the “Listen and analyze” module of Oracle Social Cloud and create one topic for each of the restaurant chains McDonalds, Pizza Hut and KFC. You can group this under “Fast Food Retailers” to separate out this analysis from other topics of research that you might perform with the tool. The configuration of a Topic is pretty simple where you define a topic name, associate the topic to a logical group and add a search term that you would like to look for among millions of messages generated every day in Social media.
As you see below here I kept the Topic as “McDonald”, the group as “Fast Food Retailers” and search term as anything relevant to McDonald like “I’m lovin’ it, McDonalds, McDonald’s and Ronald McDonald” .
After setting this up, you can hit the preview button to view the kind of messages that are posted in various Social media channels that contain your search key words. Make a note that the system highlights the search keywords that you have selected in the messages that are listed at the bottom.
Interestingly the system goes one step further to group the messages under various “Themes” by doing an intelligent semantic analysis on these messages. Some of the themes the system senses on basis of the messages are fast food, salad, job etc. As you are keen only on listening to themes that are more relevant to you like “fast food” and “Salad”, you can let the system know that you like to analyse more of these themes and less of any other themes that may not be relevant to you like “Job”. As you see below to understand what kind of messages are covered under the system generated themes you can scroll down a bit to see the messages associated with each of the themes.
Once you are done with it you can hit the preview button to rerun the process again to see more themes emerging out on basis of the theme you have included / excluded in the previous step. You can continue with this on a recursive basis till you get exactly what kind of messages you would like to listen.
That is all you have to do as part of your set-up “Listen” module in Oracle Social Cloud. Once you are done with the above for McDonalds, continue the same with other Franchises that you would like to listen such as Pizza Hut and KFC. The above completes the set-up and the system takes couple of minutes to gather the data from Social streams to put thoughts them in its analytic engine to give you in-depth analysis on what you are looking for.
The analytic section is grouped under four different heads Summary, Indicators, Demographics and Weekly Stats. The Summary section gives you info on the below
- Number of messages per day posted on the topics of interest to you
- A simple pie chart on how the message counts of each of the topics (McDonalds, Pizza Hut, and KFC) is distributed among the topics of interest to you
- A sentiment bar chart that gives a clear indicator on percentage of messages that are bucketed under Positive, Negative and Neutral for each of the Franchise chains which gives you an indication of how people favor these restaurant chains
- The content types section that gives some info on where people are talking about the brands like Blogs, Social Sites, Microblogs, News, Consumer Reviews etc.
The Indicators section gives you an option to further refine your analysis by including key indicators that are of interest to you. In the current context of analysis may be indicators of nature like Price, Favourite, Customer Service, Loyalty, Intent to switch etc. may be of interest to you than others like Travelling etc.
The demographics section gives you an understanding on the geographies that these messages are coming out as well the split in terms of messages between genders
The last section on “Weekly Stats” gives a similar kind of analysis as you see in summary but more focused on the current week.
That is the power of Oracle Social Cloud “Listen” module to cut through the noise and hear what you would like to hear in Social Media. I am not getting into the aspect of interpretation of these analysis and implication on your decision making as I believe it is no-brainer with such a powerful analytics in your hand.