Uses of Big Data Analytics In Marketing

Data analytics is the process of examining raw unstructured data in order to draw conclusions, make predictions, finds trends or answer questions

Data Is The Key To Behavior Analysis

Data Is The Key To Behavior Analysis

A customer behavior analysis is an examination of how customers interact with your business (including your brands, websites, products, applications, etc.)

Data Make Conversational Marketing Possible

Data Make Conversational Marketing Possible

Conversational marketing is the practise of using interactive platforms (such as social media, live chat, and chatbots) to have real-time, individualised discussions with customers.

Data Make Predictive Analytics

Data Make Predictive Analytics

Predictive analytics is the use of data algorithms and techniques to define the likelihood of future events or results based on historical data as past customer behavior and habits.

Data Revolutionize Digital Marketing

Data Revolutionize Digital Marketing

For many marketers, the use of data analytics in digital marketing is of the utmost importance. Because big data can provide significant insights into any field.

Data Build Up Personalization

Data Build Up Personalization

Marketing personalization is more important than ever. It is the key to transform your customer experience.

Data Transform Market Research

Data Transform Market Research

You must have a comprehensive understanding of your clients' life, values, interests, attitudes, and behaviour.

The Power Of Neuromarketing

The Power Of Neuromarketing

In order to comprehend and shape customer behaviour, the science of neuromarketing investigates the brain and people's unconscious responses.

Data Fuel Competitive Intelligence

Data Fuel Competitive Intelligence

Competitive intelligence is the process of gathering and analyzing data about your competitors, industry, and business environment.

Vista Academy

Vista Academy

We should teach the students, as well as executives, how to conduct experiments, how to examine data, and how to use these tools to make better decisions.”- Dan Ariely,

Data analytics training and solutions