FAQs

The use of consumer information to drive better strategies and improve targeting and interactions.

Data science can help businesses make better-informed decisions by providing insights into customer behaviour, market trends, and operational performance. It can also help businesses optimize processes and improve efficiency.

Using our proprietary algorithm, we use NLP, Natural language processing, to anonymise consumers' data.

Carpe Indicum, which means seize the information. With our products and services, you can translate big data using machine learning analysis into more profound knowledge.

Compared to most of the data analysis software on the market, our products do not need prior training or previous data science experience to read the analysis provided.

Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. Insights from this can lead to better decisions and strategic business moves.

Compared to most of the data analysis software on the market, our products do not need prior training or previous data science experience to read the analysis provided.

Sentiment analysis – otherwise known as opinion mining – measures positive and negative language. It is the process of determining the emotional tone behind a series of words used to gain an understanding of the attitudes, opinions and emotions expressed within an online mention.

Machine learning is a type of artificial intelligence (AI) that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. The basic premise of machine learning is to build algorithms that can receive input data and use statistical analysis to predict an output.
 

We collect Consumer Data. Consumer data is any data or information created and posted online by consumers, e.g. news articles, reviews, blogs and social data. 

Anyone who is interested in viewing their impact on the social sphere in real-time. This can range from digital marketers, brands, content creators, researchers, etc.

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