"We believe in collecting and analyzing the data from 30 or 35,000 brands, understanding how these conversations come together and being able to use machine learning algorithms to analyze. We use sentiment analysis, and questioning algorithms to understand who is saying what and why, then sharing that information with the brand."
The Dachis Group’s approach to engagement at scale via
Adexchanger
"The more a country is looking forward, the more successful economically the country is."
What Searches into the Future Tell Us about the Past
via Bloomberg
"To further quote Nagar, while Facebook ‘has a massive base of users to gather data from,’ data from the social network will never be able to provide a fully comprehensive view of a consumer. Social data will be greatly beneficial in helping brands learn more about consumers, enabling them to better target consumers and provide them with personalized products and recommendations, but it isn’t a ‘magic bullet.’ Brands will need to use social data judiciously, and in tandem with other sources, to get the most informed view of consumers."
#search
#social graph
#big data
#social data
#facebook
#brands
#customer data
Norwegian tax returns are made public every year as machine readable files. Fascinating to see what’s possible to extract from such massive amounts of information. via Bengler Visualization
