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SmartData Collective > Big Data > Social Data > From Social Listening and Social Media Analytics to Social Data Intelligence
Big DataBusiness IntelligenceData ManagementMarketingSocial DataSocial Media Analytics

From Social Listening and Social Media Analytics to Social Data Intelligence

Julie Hong
Julie Hong
8 Min Read
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From Social Listening and Social Media Analytics to Social Data Intelligence 

Christophe Folschette founded Talkwalker with his friend Thibaut Britz in 2009. Today, Christophe is our Global Sales Director, running a multi country team across Europe and the United States.

From Social Listening and Social Media Analytics to Social Data Intelligence 

Christophe Folschette founded Talkwalker with his friend Thibaut Britz in 2009. Today, Christophe is our Global Sales Director, running a multi country team across Europe and the United States.

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Christophe is a keen evangelist of the benefits that social data intelligence brings to companies in all sectors. We asked him about the changes he has seen and his thoughts on the future.

How has the industry changed since its creation?

The early adopters who first saw the value of social listening and analytics were all communications specialists and early pioneers in digital marketing. But almost overnight, the sector exploded and went mainstream, across management silos in enterprises large and small, traditional and new. The birth of the digital native confronted corporates with a new set of challenges, and opportunities.

Talkwalker is now talking about “social data intelligence” instead of social listening & social media analytics. What does that mean?

The sector is quickly becoming more sophisticated in the way it analyses, collates and presents data. Just as clients are becoming more astute to what we can do for them, so they become more data dependent, and more demanding.

The days of tracking how many times a client has been mentioned on line are long gone. We are in a new phase, partly thanks to our own innovation, where analysis, context, distribution and ease of understanding, in whatever language, are the new drivers.

None of this would be possible without significant technological leaps. For us, data integrity comes from understanding our customers‘ needs and the sector’s direction of travel. In a global market, we analyse 187 languages, filter conversations 50 ways and access historical data which we categorise and curate. We have pioneered fast and efficient reporting, customising dashboards for clients that can be applied across teams and delivered by email.

That’s how we provide the framework in which our clients can depend, and act, on the intelligence we provide, the foundations on which to combine other data streams from CRM, Relationship and Customer Insights teams, enabling them to build unprecedented 360 degree understanding of their customers.

Is the idea of dealing with such vast quantities of data prove daunting to its users?

The term ‘big data’ often asks more questions than it answers, because if you’re not an actuary, chances are you’re going to be intimidated by a tsunami of statistics. A good starting point is to be found in simplicity. Data fears fall away when you can click on a tab and find an answer. Or when you unearth nuggets of gold, which lead you to unearth more of your own volition. Understanding data starts with understanding how it can empower you.

We are liked, as much as we are respected, because of the ease of use we designed into the platform we created, that can be customised, accessed, integrated or shared across an enterprise. It makes everyone’s life simpler. We inform our platform with the views of our customers every day, making its evolution a shared experience.

Why is it so important for businesses to pay attention to this social data?

People post their emotions, thoughts and opinions. In the globalised village, social media is Earth’s biggest focus group. We tap it, slice and dice it, giving unprecedented levels of insight that directly affect company strategy.

I mentioned the Bank of England, whose Director of Strategy we recently interviewed for this blog. The BoE understands the time lag that sits between what people say they think, and how those thoughts are interpreted by financial analysts. Social media analysis cuts to the chase, spotlighting trends in real time. The Bank no longer has to rely on third party interpretation to understand public opinion.

Along with speed comes integration. The information tsunami comes in all shapes and sizes from multiple channels, so the ability to integrate data is invaluable to a modern enterprise whose decisions depend on its public’s opinions. The whole is greater than the sum of the parts, as they say, and never was a holistic understanding of the individual, let alone the collective customer base, as attainable as it is now.

How are businesses using social data intelligence?

From its roots in the branding and comms sectors, social data is blossoming across sectors, informing customer engagement strategies one day, providing predictive analysis the next.

Marketers are able to benchmark existing and bygone campaigns for engagement and cost effectiveness, as well as competitive action. Market researchers are spotlighting trends and directing corporate activity quickly and accordingly. Pioneers such as Talkwalker are building emotion filters that dig beneath the social conversation to enable businesses of all shapes and sizes to fine tune their marketing and product strategy.

I would say that the most dynamic and impactful development is the ability of customers to spread the intelligence we provide across departments. Knowledge is power, and when it is shared successfully across a company, it can be transformative.

What does the future hold?

The years go, social data did not exist. Today no self-respecting enterprise would act without it.

There are no precedents for the pioneering that is taking place in such a thoroughly dynamic sector as ours, and the future will see some big strides, for instance in our ability to automatically decipher meaning and emotion from text, a huge issue at present given the variety of ways in which people express themselves.

Companies will be able to use social intelligence analytics to understand and engage with the individual, not just the group. Companies will outwit each other based on their speed of analysis and response. Data will increase in volume, and software will have to cope, while platforms will have to become all the more able to simplify analysis while becoming all the more robust.  

Technology will give way from tracking and analysis towards more sophisticated integration that makes everybody in the corporate supply chain their own analyst. Comprehensive social listening, deep analytics, fast and efficient reporting, an intuitive user interface and the ability to integrate using an API or just the ability to easily export data will be key.

Most importantly, social data intelligence will bind the disparate silos within an enterprise into a unified and coordinated powerhouse, based on new dimensions of customer understanding, internal communication and coordination.

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