Social Media Intelligence: First Encounter
What do we do with the current data lying on most of the social sites. Do we leave them as it is or develop an online listening strategy to tackle the issues. The experience I am going to share now is the next level of Social Media Monitoring. However, many of us call it as “Social Media Intelligence“. That’s how this topic is known through all our “Social Gurus”
In my opinion “Social Media intelligence” is just an advanced stage of Content analysis to understand our strategies and efforts well.
Let’s take an instance of the current scenario. There is a major chunk of data lying on most of the Social Sites which is very useful if it is analyzed well. However, I see many companies addressing them as and when it appears. I think that is decent strategy to cope up with the current scenario.
But, what if we are to plan a campaign or understand a scenario where we analyze our consumers based on their social opinions and behavior. I am sure it is very difficult to identify exactly what would a consumer want to specifically point out. This is possible only if we can analyze the current data using some real good text analyzing tools.
The text analyzer should cover all the aspects of writing styles of we humans. For eg: “I am talkin” or “I am talking/speakin” is same for us to consider our tool to capture. Similarly, “This iphone is kick ass or insane” will be considered to be in favor of the brand. All we need to analyze is the actual human english (the way they converse with their friends). The English they use while writing might not necessarily grammatically correct. How about the SMS chat lingo? But, we should be able to analyze the similar kind of data as well. There are many such combination one could plan or define to achieve optimum results (could be around 85% accuracy) This can be only achieved if we can define our own set of rules while analyzing our data.
Unfortunately, our standard style of using search engines or tools does not allow to filter the data in the best possible way by even analyzing the human writing lingo on Social sites.
However, I don’t see such robust technologies which can even follow that sort of data mining / analyzing process. I have observed something slightly inclined to such approach in “Buzzmetrics”, but it only allows you to set conditions while searching.
This logic very much see
ms to be in favor of an offline data, as many of the data developers or data consultants would prefer that. The consultants would consider the analysis post campaign.
But, I have a different perspective here. How about using this data for Pre-campaign & Post-campaign as well. The Pre-campaign data will be the data to understand the current perception of the competition, based on which we will try avoiding making similar mistakes as our competitors did.
In short, I don’t see any of the online Social Media monitoring tool which holds all these capabilities in depth. Which still holds us to understand our consumers and their perception.
If you do come across any such tool which helps analyzing the real time and offline data in the way I look at it to be…Please share with me and would analyze it further.
However, Will continue sharing my next research and analysis on “Social Media Intelligence”
Please do share your valuable insights.. here..

Effective sentiment analysis is a great challenge and we will see better results with time. There is some great AI technology being used by different BI applications and i am sure many will implement same on the social layer.
However, the biggest challenge i see is to co-relate all the mined data with the social media objective of a organization. The varied nature of SM brings out some very interesting marketing objectives organization look forward to, we saw some organizations looking forward to decrease their spending in owned media , while we saw some organizations who use SM to increase their digital footprints. Now how a social media monitoring tool effectively bring reports which can relate to the strategy organization is following ?.
That’s where the requirement of a heavy customized monitoring tool come in play, which can bring on a layer of intelligence over the mined data. Which is more than sentiment analysis and can relate to the objectives.
My two cents.
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