The serial position effect is a phenomenon that occurs when people are asked to recall a list of items. The items at the beginning of the list (the “primacy effect”) are typically recalled better than items in the middle of the list (the “recency effect”). The serial position effect is thought to be due to … Read more
Graph analytics is the process of analyzing graphs to extract information about the relationships between the nodes and edges. This can be used to find patterns and trends, such as cliques and communities, and to predict future behavior. Graph analytics can be used on any type of graph, including social networks, transportation networks, and biological … Read more
Alternative data is data that is not typically used in financial analysis and decision-making. This can include data sources such as social media, web traffic, and satellite data. Alternative data can provide insights into trends and patterns that may not be apparent using traditional data sources. Alternative data can be used to complement or replace … Read more
A macrotrend is a long-term trend that significantly affects a wide range of people and industries. It is usually a result of structural changes in the economy or society. For businesses, macrotrends can provide opportunities for growth and market expansion. They can also pose risks, since they can disrupt existing business models and lead to … Read more
Sampling error is the difference between a population parameter and a sample statistic. A population parameter is a value that describes the entire population. A sample statistic is a value that describes a sample. The sampling error is the difference between the population parameter and the sample statistic. For example, suppose we want to know … Read more
Data literacy is the ability to read, work with, and understand data. This includes being able to find and use data when needed, and being able to understand the implications of data. Data literacy is a critical skill in the age of big data. Data literacy is important for everyone, not just data scientists or … Read more
IoT analytics is the process of analyzing data collected from connected devices and extracting valuable insights from it. It helps organizations to make better decisions, improve operational efficiency, and create new business opportunities. How many types of analytics are needed for IoT? There is no one-size-fits-all answer to this question, as the types of analytics … Read more
A scatter plot is a type of plot that shows the relationship between two variables. The variables are plotted on a graph, and the relationship is shown by how close the data points are to each other. Scatter plots are used to show relationships between variables. The closer the data points are to each other, … Read more
Availability bias is a cognitive bias that refers to the tendency for people to give more weight to information that is more readily available to them. This can lead to distorted judgments and decision-making. For example, people may be more likely to believe that a certain event is more likely to happen if they can … Read more
Firmographic data is information about a company, such as its size, industry, location, and so on. This data can be used to create a profile of a company, which can be helpful in marketing and sales. What is the difference between demographic and firmographic data? Demographic data is data that describes the characteristics of a … Read more
