Introduction to Business Analytics

..... is well organized, follows a consistent order, is relatively easy to search and query, and can be readily accessed and understood by a person or a computer program.

• Unstructured data

• Structured data

• Computer programs

• Static data

......... is concerned mainly with analyzing data through describing, summarizing, classifying, and clustering the data so as to find useful patterns, links, or associations within it.

• Data mining

• Clustering

• Big data

• Association

.......... is the process of refining that

data resource, using business knowledge to extract hidden value from those newly discovered

patterns.

• Big data

• Data mining

• Predictive analytics

• Clustering

Analytics is used in

• Human Resource

• Operations management

• Finance

• All of Above

............. is the discovery of hidden patterns of data through machine learning and sophisticated algorithms are the mining tools.

• Big data

• 
  Data mining

• 
  Clustering

• 
  Statistics

............ data is specific to your company, usually draws from your company’s data sources, and can include many data types

• External

• Internal

• Unstructured

• Semi-structured

........... data comes from outside the company, often as data bought from other companies.

• External

• Internal

• Unstructured

• Semi-structured

The scientific process of transforming data into insights for the purpose of making better decisions refers to ....

• Cloud Computing

• Internet of Things

• Data Warehousing

• Business Analytics

The absence of uniformity in data is another big challenge known as .........

• 
  Data variety

• Data velocity

• Data validity

• Data integrity

.......... refers to another challenge of big data: the rate at which data is being generated, captured, or delivered.

• Data variety

• Data validity

• Data mining

• Data velocity