Data analytics is the process of examining, cleaning, transforming, and modeling data with the goal of discovering useful information, drawing conclusions, and supporting decision-making.
Customer analytics involves the use of data analysis and statistical techniques to gain insights into customer behavior, preferences, and trends.
Telecom analytics involves the use of data analysis and business intelligence techniques to extract valuable insights from the vast amounts of data generated within the telecommunications industry.
Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, perception, understanding natural language, and even interacting with the environment.
Credit risk analytics refers to the use of data analysis and statistical techniques to assess and manage the risk associated with lending money or extending credit to individuals, businesses, or other entities.
A digital sales funnel, also known as an online sales funnel or conversion funnel, is a series of steps that potential customers go through on a website or digital platform, leading them from initial awareness to making a purchase.
Data visualization is the presentation of data in graphical or pictorial formats to facilitate understanding, interpretation, and analysis.
Retail marketing analytics involves the use of data analysis and insights to understand and optimize various aspects of retail marketing strategies.
AdTech, short for Advertising Technology, refers to a broad category of technology solutions and platforms designed to streamline and enhance the advertising process, from the creation and distribution of ads to the measurement of their effectiveness.
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