Making Sense of Social Media Data
Timothy Powers 270003F3FN email@example.com | | Tags:  analytics social-business business_analytics cognos decision-making social-media business-analytics ibmsoftware predictive-analytics spss baforum
0 Comments | 7,108 Visits
If you want to know what someone thinks, just ask. Better yet, just listen.
Unsolicited feedback is everywhere and oftentimes people will tell you what they’re thinking without any prompting.
The world is a noisy place and the advent of social media has resulted in nearly nonstop dialogue in countless locales. In fact, we'd go so far as to say that we live in the "Age of Over-Sharing."
Social media has unleashed the power of self-expression. Gone are the days of the internal monologue. Today, we live under the banner of "TMI" or Too Much Information. People share everything – maybe it's therapeutic – from medical ailments to stories about their kids and pets to recipes to life's aggravations to their favorite (and more often least favorite) restaurants, brands and products.
This over-sharing might seem useless to some, but this “babble” actually has incredible hidden meaning, relationships, patterns and trends.
Create relationships. Build advocacy. Improve loyalty.
That is why IBM continues to innovate and expand its business analytics portfolio to help organizations use social media to gain insight into consumer opinions and spot trends related to products and brands.
Today, IBM announced IBM Cognos Consumer Insight, a new social media analytics application based on technology research assets developed by IBM Research Labs in Almaden. IBM Cognos Consumer Insight allows customers to listen, measure and analyze large volumes of publicly available social media content from billions of blog posts, thousands of online forums and discussion groups, as well as publicly available content on Facebook and Twitter.
A recent Winterbury Group report claims that social media marketing is expected to increase 13.2% to $1.2B, where direct mail and broadcast advertising remain unchanged.
Recognizing the amount of critical data resting within these social media sources is important for businesses to capitalize on, and offers an opportunity to extract this intelligence to better interact, react and mine customer opinion and feedback.
For example, if a retail merchandising manager from a high-end fashion line wants to gain better visibility into how a newly released woman’s print dress is being received by consumers, IBM Consumer Insight identifies, captures and reports on millions of pieces of social data to provide instant feedback on that particular item.
Managers can now use this critical feedback by analyzing key words found associated with the dress to better understand buying trends – if the red print dress is being described as too loud or too bold, brands can now make recommendations to the designer on creating the dress in black instead or red in order to adjust to customer preferences.
It also helps organizations analyze the success of their marketing campaigns, such as what are consumers saying and hearing about my brand? What are the most talked about product attributes in my product category? Is the feedback good or bad? How are consumers responding to our new advertising campaigns? What is my competition doing to excite the market?
For example, what if a famous pop star is doing more harm than good as the spokesperson for the brand? Brand campaign managers can now evaluate data from prime social sources to make smarter decisions around advertising campaigns moving forward and tweak current campaigns.
All of this information can be easily displayed on a dashboard with tables and crosstabs, as well as pie charts and trend charts to easily understand and share what is being said in the social media landscape.
A Truly 360 Degree View of Customers
It is relatively easy for organizations to analyze transactional data to learn which customers spend the most on goods and services. Adding demographic and attitudinal data from a satisfaction survey can help further segment customers into meaningful groups and thus drive different responses or communication strategies.
Marketing no longer has a mute button. With business analytics software, organizations are better enabled to transform their customer relationships by actively listening to what customers are saying on public social media channels.
Most customers expect (and demand) greater levels of intimacy from the companies with which they choose to do business. The analysis of social media data moves organizations one step closer to the goal of achieving truly scalable one-to-one marketing.
By turning up the volume, organizations are more agile, precise and responsive to market and customer demands.