Global Databases arel data marts that are populated with industry specific external data orginized as OLAP databases.
Specific Analytics like: Predictive Analytics, What-If Analytics, Data Mining, etc...
Investement advices based on the Global Databases prediction modules.
IT Consulting Services around our product and services.
Wikipedia defines sentiment analysis as the process that “aims to determine the attitude of a speaker or a writer with respect to some topic.” Automated sentiment analysis is the process of training a computer to identify sentiment within content through Natural Language Processing (NLP). Various sentiment measurement platforms employ different techniques and statistical methodologies to evaluate sentiment across the web. Some rely 100% on automated sentiment, some employ humans to analyze sentiment, and some use a hybrid system.
Sentiment analysis, also known as opinion mining, is the analysis of the feelings (i.e. attitudes, emotions and opinions) behind the words using natural language processing tools. It’s looking beyond the number of Likes, Shares or Comments you get on an ad campaign, product release, blog post, and video to understand how people are responding to it. Was the review positive? Negative? Sarcastic? Ideologically biased?
As marketers, being able to capture the complexity of emotional responses helps us determine if our social and content marketing initiatives are driving the actions that we planned for, while also giving us hard cues for adapting our strategy, in the event that our touch points are not resonating with our customers.
ELA AS is a digital transformation partner that provides solutions and services to help traditional businesses reimagine their business models, redesign user experiences and automate operations for the digital age.
Data integration across the value chain is critically important. And the digital transformation needed to achieve full integration puts Big Data at the very heart of commercial strategy.
Along the way, Big Data is layered with things like unstructured data derived from social media, industry portals, partner-network email communication, digital campaigns, and so on. And the analytics performed on this layered data create new insights which trigger further process improvements.
Donec leo elit, dignissim eu elit vitae, aliquam tincidunt purus. Proin id risus ut sem vehicula faucibus. Fusce sed libero nec quam tempus facilisis. Vestibulum venenatis nisl ac feugiat aliquet. Sed euismod ligula arcu, et mollis est volutpat et. Aenean sed nulla plac erat neque lacinia ullamcorper.