finals minsan Flashcards
Used to understand current business processes and plan for future changes in response to their internal and external environment
prescriptive analytics
can help attempt to explain behavior and help make decisions in the face of an uncertain future
prescriptive analytics
associated with area of OPERATIONS MANAGEMENT
which considers the transformation of materials, information, customers into goods and services
business process management (bpm)
a discipline that is focused on the use of business processes as a way of improving organizational performance
business process management (bpm)
these is a key aspect of BOTH operations management and BPM
performance measures
give examples of performance measures
metrics of cost, quality, speed, flexibility, and dependability
the use of modeling and statistics from information systems capabilities such as the storage of BIG DATA in order to TRANSFORM IT into ACTIONS through ANALYSIS and INSIGHTS in the context of organizational decision making
business analytics
this is a key part of analytics to assess business performance
the use of performance measures
this is the use of reports and visual displays to EXPLAIN and UNDERSTAND PAST and CURRENT business performance.
often contains STATISTICAL SUMMARIES that are intended to PROVIDE an OUTLINE OF TRENDS in current and past performance
descriptive analytics
ability to RECOMMEND A CHOICE OF ACTION from PREDICTIONS of FUTURE PERFORMANCE
this is done through RECOMMENDING AN OPTIMUM DECISION through MODEL DRIVEN APPROACHES to TRY OUT many different scenarios
prescriptive analytics
aims to DERIVE a DESCRIPTION OF BEHAVIOR from OBSERVATIONS so that it can DESCRIBE HOW that SYSTEM BEHAVES under DIFFERENT CONDITIONS OR SCENARIOS
data driven modeling approach
a WAY to build a model that ALLOWS US to MAKE PREDICTIONS
this is achieved through ASSOCIATIONS, SEQUENCES, CLASSIFICATION, AND CLUSTERING OF DATA
pattern recognition
aims to DERIVE a DESCRIPTION of BEHAVIOR from OBSERVATIONS of a SYSTEM so that it can DESCRIBE how that SYSTEM BEHAVES under different conditions and scenarios
model driven modeling
regression analysis, econometric modeling, time series experiments, and yield management
data driven analysis techniques
IDENTIFYING PATTERNS in COMPLEX and ILL DEFINED data sets
it involves ESTABLISHIN RELATIONSHIPS about items THAT OCCUR at a PARTICULAR POINT in time
data mining