C207 OA EXAM WITH CORRECT ACTUAL
QUESTIONS AND CORRECTLY WELL DEFINED
ANSWERS LATEST ALREADY GRADED A
Terms in this set (228)
Descriptive Analytics the use of data to understand past and current
business performance and make informed
decisions
Predictive Analytics the use of past data to model future outcomes
Prescriptive Analytics use techniques that create models indicating the
best decision to make or course of action to take
4 components of Big Data Structured and Unstructured data, large
quantities, cannot use traditional software and
databases
, Data Mining finding hidden patterns within Big Data
3 Steps of Davenport-Kim Three- 1. framing the problem
Stage Model 2. solving the problem
3. communicating results
Data Management A process that focuses on data collection,
storage, and retrieval. Common data
management functions include addition, deletion,
modification, and listing.
Continuous Data Data that can be any value on a range
ex: age
Interval Data Data that is within a range and an equal interval
apart
ex: times, shoe sizes
Ratio Data Data that have known intervals between values
and a meaningful zero value
ex: income, inventory levels
Ratioooo = 0
Discrete Data Numerical data that can be counted as whole
numbers
ex: cars
Nominal Data Data which consists of names, labels, or
categories
ex: male/female
NOMinal = NAMes
QUESTIONS AND CORRECTLY WELL DEFINED
ANSWERS LATEST ALREADY GRADED A
Terms in this set (228)
Descriptive Analytics the use of data to understand past and current
business performance and make informed
decisions
Predictive Analytics the use of past data to model future outcomes
Prescriptive Analytics use techniques that create models indicating the
best decision to make or course of action to take
4 components of Big Data Structured and Unstructured data, large
quantities, cannot use traditional software and
databases
, Data Mining finding hidden patterns within Big Data
3 Steps of Davenport-Kim Three- 1. framing the problem
Stage Model 2. solving the problem
3. communicating results
Data Management A process that focuses on data collection,
storage, and retrieval. Common data
management functions include addition, deletion,
modification, and listing.
Continuous Data Data that can be any value on a range
ex: age
Interval Data Data that is within a range and an equal interval
apart
ex: times, shoe sizes
Ratio Data Data that have known intervals between values
and a meaningful zero value
ex: income, inventory levels
Ratioooo = 0
Discrete Data Numerical data that can be counted as whole
numbers
ex: cars
Nominal Data Data which consists of names, labels, or
categories
ex: male/female
NOMinal = NAMes
