About Social Media Engagement
Now day’s technologies will help as to understand behavioral and buying patterns of the customers, but big data goes even beyond. The technology is big data how big data integrated with social Media. However, big data technology is made to handle the different sources and different formats of the structured and unstructured data.
Businesses are discovering new, innovative ways to utilize big data and artificial intelligence (AI). By using AI technology, a company can analyze activity from vast numbers of social media users, enabling it to create highly targeted ad campaigns. Too often, companies lack a reliable way to monitor the health of their reputation—and this is particularly true on social media, where a single incident can damage a brand in an instant. It’s also difficult to quickly analyze how news stories, product launches, advertising, and competitor activity impact your brand. Therefore, social is an extremely important avenue for Brands. Eighty-five percent of world consumers say they use social platforms, Retailers, in particular, benefit from big data and social media solutions that analyze sentiment from popular platforms like Facebook, Instagram, LinkedIn, and Twitter. Customer-driven insights enable companies to target their promotions, products, and overall marketing strategies to match—or sometimes correct—public perception.
The original use case for algorithm was to be able to rebuild a user activity tracking pipeline as a set of real-time publish-subscribe feeds. This means site activity (page views, searches, or other actions users may take) is published to central topics with one topic per activity type. These feeds are available for subscription for a range of use cases including real-time processing, real-time monitoring, and loading into Hadoop or offline data warehousing systems for offline processing and reporting. Activity tracking is often very high volume as many activity messages are generated for each user page view.
Our Data Platform and Pipeline of data bring all types of data from consumers to the point of analysis, without requiring a pre-defined data schema. Now advertisers can store new types of data and retain everything longer, boosting customer loyalty.