A data warehouse is a logical collection of information, gathered from many different operational databases, that supports business analysis activities and decision-making tasks.

Prediction is a statistical process that finds the way to make a design, system, or decision as effective as possible, for example, finding the values of controllable variables that determine maximal productivity or minimal waste.

Data governance is the practice of gathering data and ensuring that it is uniform, accurate, consistent, and complete, including such entities as customers, suppliers, products, sales, employees, and other critical entities that are commonly integrated across organizational systems.

According to Gartner Inc., dirty data is an MIS problem, not a business problem.

Determining if all total columns equal the true total of the individual items is an example of a consistent characteristic of high-quality information.

Dirty data is erroneous or flawed data.

Advanced analytics focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization.

What is dynamic information?

Affinity grouping analysis determines the relationship between variables and frequency of the relationship.

What is the integration of a company’s existing management information systems?