Session - Business analytics
Affinity analysis (data mining) - ANS-data mining application that discovers co-occurrence
relationships among activities performed by specific individuals or groups.
\Business Analytics (BA) - ANS-The process of developing actionable decisions or
recommendations for actions based on insights generated from historical data.
\Business Intelligence - ANS-A broad category of applications, technologies, and processes
for gathering, storing, accessing, and analyzing data to help business users make more
informed decisions.
\Critical success factors (CSFs) - ANS-The factors most critical for the success of a
business. These can be organizational, industry, departmental, or for individual workers.
\Dashboard - ANS-A business analytics presentation tool that provides rapid access to
timely information and direct access to management reports.
\Data mining - ANS-The process of searching for valuable business information in a large
database, data warehouse, or data mart.
\decision - ANS-A choice that individuals and groups make among two or more alternatives.
\Decision Support System (DSS) - ANS-Business intelligence systems that combine models
and data in an attempt to solve semi-structured and some unstructured problems with
extensive user involvement.
\Descriptive Analytics - ANS-A type of business analytics that summarizes what has
happened in the past and allows decision makers to learn from past behaviours.
\Drill down (dashboard) - ANS-The ability to go to details, at several levels; it can be done by
a series of menus or by clicking on a drillable portion of the screen.
\exception reporting - ANS-Reports highlight deviations larger than defined thresholds.
Reports may include only deviations.
\Extract, Transform, and Load (ETL) - ANS-Process by which organizations integrate and
"clean" these data into data marts and data warehouses
\Geocoding - ANS-every record or digital object has an identified geographical location
\Geographic Information System (GIS) - ANS-A computer-based system for capturing,
integrating, manipulating, and displaying data using digitized maps.
\Goal-seeking analysis - ANS-attempts to calculate the value of the inputs necessary to
achieve a desired level of output.
\Management - ANS-A process by which organizational goals are achieved through the use
of resources.
\Market basket analysis - ANS-retailers seek to understand the purchase behaviour of
customers.
\Multidimensional data analysis (online analytical processing OLAP) - ANS-A set of
capabilities for "slicing and dicing" data using dimensions and measures associated with the
data.
\Predictive Analytics - ANS-A type of business analytics that examines recent and historical
data in order to detect patterns and predict future outcomes and trends.
\Prescriptive Analytics - ANS-A type of business analytics that recommends one or more
courses of action and shows the likely outcome of each decision.
\Productivity - ANS-The ratio between the inputs to a process and the outputs from that
process.
Affinity analysis (data mining) - ANS-data mining application that discovers co-occurrence
relationships among activities performed by specific individuals or groups.
\Business Analytics (BA) - ANS-The process of developing actionable decisions or
recommendations for actions based on insights generated from historical data.
\Business Intelligence - ANS-A broad category of applications, technologies, and processes
for gathering, storing, accessing, and analyzing data to help business users make more
informed decisions.
\Critical success factors (CSFs) - ANS-The factors most critical for the success of a
business. These can be organizational, industry, departmental, or for individual workers.
\Dashboard - ANS-A business analytics presentation tool that provides rapid access to
timely information and direct access to management reports.
\Data mining - ANS-The process of searching for valuable business information in a large
database, data warehouse, or data mart.
\decision - ANS-A choice that individuals and groups make among two or more alternatives.
\Decision Support System (DSS) - ANS-Business intelligence systems that combine models
and data in an attempt to solve semi-structured and some unstructured problems with
extensive user involvement.
\Descriptive Analytics - ANS-A type of business analytics that summarizes what has
happened in the past and allows decision makers to learn from past behaviours.
\Drill down (dashboard) - ANS-The ability to go to details, at several levels; it can be done by
a series of menus or by clicking on a drillable portion of the screen.
\exception reporting - ANS-Reports highlight deviations larger than defined thresholds.
Reports may include only deviations.
\Extract, Transform, and Load (ETL) - ANS-Process by which organizations integrate and
"clean" these data into data marts and data warehouses
\Geocoding - ANS-every record or digital object has an identified geographical location
\Geographic Information System (GIS) - ANS-A computer-based system for capturing,
integrating, manipulating, and displaying data using digitized maps.
\Goal-seeking analysis - ANS-attempts to calculate the value of the inputs necessary to
achieve a desired level of output.
\Management - ANS-A process by which organizational goals are achieved through the use
of resources.
\Market basket analysis - ANS-retailers seek to understand the purchase behaviour of
customers.
\Multidimensional data analysis (online analytical processing OLAP) - ANS-A set of
capabilities for "slicing and dicing" data using dimensions and measures associated with the
data.
\Predictive Analytics - ANS-A type of business analytics that examines recent and historical
data in order to detect patterns and predict future outcomes and trends.
\Prescriptive Analytics - ANS-A type of business analytics that recommends one or more
courses of action and shows the likely outcome of each decision.
\Productivity - ANS-The ratio between the inputs to a process and the outputs from that
process.
