Social Media and the Customer-centric Data Strategy #data17 #resources

With over 3 billion active social media users, establishing an active presence on social media networks is becoming increasingly essential in getting your business front of your ideal audience. These days, more and more consumers are looking to engage, connect and communicate with their favorite brands on social media.

Adding social media to your customer-centric data strategy will help boost brand awareness, increase followership, drive traffic to your website and generate leads for your sales funnel. In 2017, no organization should be without a plan that actively places their brand on social media, and analyzes their social media data.

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Once you’ve started diving into social media analytics, how do you bring it to the next level? This session covers a customer-centric data strategy for scaling a social media data program.

Here are the links (i.e. additional resources) featured during the session to help you formulate your social media data program in order to build a stronger presence and retrieve powerful insights:

The Data Opportunity

• Data volume stored by Facebook in comparison to CERN: http://bit.ly/tc17_cern

Focus on relevant metrics for your strategy

• Twitter Sentiment Analysis…
  • …for Commerzbank, Deutsche Bahn, Deutsche Bank, Deutsche Telekom, Lufthansa and Sparkasse: http://bit.ly/tc17_sentiment
  • …as indicator for Bitcoin performance: http://bit.ly/tc17_bitcoin
• Leverage your Analytics tool chain…
  • …with Tableau’s R integration: http://bit.ly/tc17_r
  • …with Tableau’s Python integration: http://bit.ly/tc17_python

How to get Social Media in Tableau?

• Via a third party platform: http://bit.ly/tc17_talkwalker
• Code your own solution: http://bit.ly/tc17_r_fetch

Tips to Level Up

• It’s About Time: http://bit.ly/tc17_timeways
• Think About Your Words: http://bit.ly/tc17_cta
• Use a Web Data Connector – Take advantage of our community: http://bit.ly/tc17_wdc
• Don’t forget to localize your data:
  • Spotfy example: http://bit.ly/tc17_spotify
  • KPMG Automotive survey example: http://bit.ly/tc17_gaes
• Apply Text Mining: http://bit.ly/tc17_textm
• Parse messages with Regex: http://bit.ly/tc17_regex_extr
• Use your R and Python skills: http://bit.ly/tc17_r_unshort

Tutorials and Slide Set

The slides and tutorials presented at Tableau Conference on Tour in Berlin are also available on SlideShare, and on YouTube in English and German.

Come in and enjoy my @tableau #data17 "Social Media and the Customer-centric Data Strategy" #r #python #analytics https://t.co/eu0H9ecF2X pic.twitter.com/KHHnDQdTOl

— Alexander Loth (@xlth) September 13, 2017