Every Word Has Value
Recognise, understand and empathize with your customers’ feelings, thoughts, needs and expectations.
Customers read reviews before making a purchase (Spiegel)
Consumers will pay more for better customer experience (Oracle)
Customers change brand for better experience (Clear Strategy)
Companies improving customer experience, report an increase in their revenue (Dimension Data)
Text Analytics & Sentiment Analysis
Successful text analytics & sentiment analysis consists of the following important aspects to generate truly actionable insights adding value to your business and your customers.
Deep Language Analysis
Take into account language nuances, semantic aspects, pragmatic aspects, and levels of context, among others.
Meaningful Classification Of Information
Organise data in a way that makes sense both semantically and business-wise in each industry.
Fine Grained & Aspect Based Sentiment Analysis
Not all sentiment expressed has the same strength or targets an entire product/service or comes from the same person. Find out what really happens.
Domain Specific Algorithms
Identify what is useful in a text for the well-being of your business, what makes sense for your industry and the business impact expressed through language.
Customer Personas & Behaviour
Text is not about words. It is about people. Understand your customers' preferences, validate your current customer personas and/or explore emerging ones.
Hybrid AI Technology
AI Hybridity = Science + Technology; critical in order to capture vital, actionable insights and meaningful relations business-wise.
Insightful Business Answers To Key Business Questions
For a successful program and usage of any analysis it is important to evaluate the results in the right way boosting your business potential.