Tagged with social

Using social data as a predictive indicator of business functions

Lick your finger and stick it in the air to determine which direction the wind is blowing. Pick a stick from the riverside and set it adrift downstream to judge the pace of the flow. These rudimentary attempts at predicting an outcome have as much value as judging a book by its cover. Sure it looks to be telling you something from all outward signs but underneath, predictivewhat is going on at the core?

Ever done that thing where you kick the tyres of a car to judge the suitability of purchasing it? You can make casual judgements but you can’t have a grasp of what lies beneath or which process in the grand scheme of processes are going to falter. Or can you?

Launching a product to market isn’t about the launch event itself, that is but a bit part of a string of processes and certainly not the end point of a product’s life. Tracking trends in healthcare is going to help you identify production demands for specific medicines and by location but behind the curve. If you could track online social data to witness an unfolding emerging trend or to identify a micro-process in product development that might be a roadblock, then being ahead of the curve will help you to act in the appropriate manner.

Data is the key to all of this insight and the affordability of social media data and the cost savings it delivers against in situ focus groups and other traditional research methods is where the value can be found. Many businesses place their faith in data based algorithms and indexes that deliver insight on a variety of business functions. NPS and CSAT scores are two of the most prominent measures of performance, both regularly viewed by investors and CEO’s as static scores, social data offers not only a less expensive and live view of business data but also indicates where a change within the business needs to occur, something neither NPS or CSAT offer.

The power of social media and the pockets of data that make up tweets, blogs, forums and other digital instances afford businesses a great opportunity to make informed business decisions. Want to find out more?

Webinar | Using social data as a predictive indicator

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The abrasive nature of Facebook’s frictionless sharing

frictionlesssharing

The above is a screengrab from Facebook (with names redacted to avoid further blushing) which highlights the futility of Facebook’s new frictionless sharing system, whereby – if the app is enabled – your viewing habits on certain sites are instantly broadcast to your Facebook friends.

The above incident is fairly self-explanatory but does suggest that users are unaware of just how the new system works and that greater privacy issues lurk beneath the surface. If this non-permission based sharing becomes de rigeur for the social web, viewing habits will change drastically and see a wave of NSFW derivations spread across content headlines:

  • Not Safe For Family
  • Not Safe for Significant Other
  • Not Safe for Parents etc.

Browsing on the web is still – at least to your curated public audience – a largely anonymous activity. Sure, the service providers, data warehouses and Ad servers know what you are doing but your friends and family don’t and nor should they need to, within the bounds of taste, decency and legality.

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Social Stewart: The socialisation of Stewart Lee (Video)

http://www.bbc.co.uk/emp/external/player.swf

I have previously blogged about the aim of brands seeking to use social to direct visitors to the target .com website and the ways in which they do this with content on a variety of platforms. The above video is a satirical take on the method of using social to direct viewers to the BBC on-demand iPlayer platform. It features the incredible talent of Stewart Lee, a dead pan UK comedian with a cyncial outlook on life and in this instance, social media marketing. Don’t enjoy it too much or we will all be out of a job.

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“Social Media Predictions for 2011″ via @paulfabretti

These crystal ball assumptions seem to fit in with the collective thoughts of the “social” crowd (No doubt it made for a great talk too). Along with a maturity and evolution of social, it is looking like it will be a year where cross platform integration is on the up and the adoption of social will infiltrate further areas and become a very natural fit. Plenty of opportunities and an abundance of data and insight to be had too.

Which are you expecting to have the greatest impact? Please do share your forecasts.

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