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DATAVLT is a company that aims to develop smart affordable data analytic platforms that serve various purposes for businesses/entities who are looking to future-proof themselves. DATAVLT is an on-demand, self-service, data analytics platform, secured by Blockchain technology, that has been designed to provide users with an integrated overview of their state of their business. Backed by artificial intelligence and learning capabilities, this platform aims to track, gather, analyse and correlate different types of data, e.g. Enterprise data, online marketing performance data, third-party reports, and information, etc., onto a singular smart dashboard that can empower businesses, especially small medium enterprises (SMEs) that are looking to grow their internal capabilities cost efficiently, regardless of industry, Essentially, DATAVLT is an end-to-end data/information management platform.
The Future of Behavioural Analytics for Evolving Businesses
Regardless of the type of economy, consumers drive the demand for goods and services globally. With the exacting demands of today’s marketplace, it is vital to be able to interpret, analyse, integrate and correlate data to track meaningful trends, patterns and behaviours. Introducing DATAVLT – the on-demand, self-service, behavioural analytics platform that tracks, analyses, integrates and correlates data, enabling users to make more informed business decisions. DATAVLT aims to empower businesses by providing democratised data to those who are looking to grow internal capabilities cost efficiently. Essentially, DATAVLT is an end-to-end data/information management platform. DATAVLT primary focus is on consumer behaviour that draws basic data using parameters derived from fields such as economics, sociology, and anthropology. Correlating the data with behavioural inputs like profiling, tonality, and sentiment, allows for deeper and more meaningful analysis of the data, because these parameters have the potential to create an infinite number of analytical
scenarios that goes beyond primary utility tracking.
Below are just few examples of real-world applications that can benefit from the insights drawn from behavioural analytics:
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