BUS 303 Saylor EXAM 2025/2026 ACTUAL COMPLETE REAL
EXAM QUESTIONS AND VERIFIED SOLUTIONS | CORRECT
ELABORATED &DETAILED ANSWERS!! GRADED A+ / 2025
VERSION!!
What factors limit business intelligence initiatives? - ANSWER-
Firms that mismanage their customer data assets risk lawsuits,
brand damage, lower sales, fleeing customers, and can prompt
more restrictive legislation.
What do you need to know about the status of the enterprise's
current data? - ANSWER-The amount of data on corporate hard
drives doubles every six months. Does this company produce
comparatively more data or comparatively less?
Is the database structure appropriate for the organizational
need?
Is all available data being used to a competitive advantage?
What differences in how data is stored exist among information
systems used by the organization (i.e., how are fields defined
on each system: width, type of data, packed/unpacked, and so
forth)?
,What are some sources of available data the enterprise may
not be using to ,
gain a competitive advantage? - ANSWER-Enterprise
software (CRM, SCM
and ERP) that are a source for customer, supply chain, and/or
enterprise data.
Survey data to supplement a firm's operational data.
Data obtained from outside sources, when combined with a
firm's internal data
assets, which can give the firm a
competitive edge.
Contract with a data aggregator. However be careful as the
purchased data may not by itself yield a competitive advantage
since others may also have access to this data.
What are some concerns in managing the firm's business
intelligence activities? What factors limit business intelligence
initiatives? - ANSWER-Firms that mismanage their customer
data assets risk lawsuits, brand damage, lower sales, fleeing
customers, and can prompt more restrictive legislation.
Privacy issues and identity theft concerns.
,A major factor limiting business intelligence initiatives is
getting data into a form where it can be used (i.e., analyzed and
turned into information).
Legacy systems often limit data utilization because they were
not designed to share data, may not be compatible with newer
technologies, and may not be aligned with the firm's current
business needs.
Most transactional databases aren't set up to be
simultaneously accessed for reporting and analysis. In order to
run analytics, the data must first be ported to a data warehouse
or data mart.
How might you incorporate data warehousing, OLAP, and data
mining tools? - ANSWER-Data warehouses and data marts are
repositories for large amounts of transactional data awaiting
analytics and reporting.
Large data warehouses are complex, can cost millions, and
take years to build. Canned and ad hoc reports, digital
dashboards, and OLAP are all used to transform data into
information.
OLAP reporting leverages data cubes, which take data from
standard relational databases, calculating and summarizing
data for super-fast reporting access. OLAP tools can present
results through multidimensional graphs or via spreadsheet-
style cross-tab reports.
, Modern datasets can be so large that it might be impossible for
humans to spot underlying trends without the use of data
mining tools.
Businesses are using data mining to address issues in several
key areas including customer segmentation, marketing and
promotion targeting, and collaborative filtering.
Models influenced by bad data, missing or incomplete
historical data, and overengineering are prone to yield bad
results.
Analytics may not always provide the total solution for a
problem. Sometimes a pattern is uncovered, but determining
the best choice for a response is less clear.
You have just been appointed the process manager to evaluate
how customer satisfaction can be improved for United Airlines.
Process modeling and tracking software is available. What do
you plan to do to complete your evaluation? What else is of
concern to you in this task (other than that you may not
actually be an airline employee yourself)? - ANSWER-Process
modeling and documentation need to be completed. All the
elements (clients/customer, customer request, output, supplier,
request to the suppliers, input, work capacity, etc.) of each
process are recorded in a process model.
The span and limits of these processes are documented.
EXAM QUESTIONS AND VERIFIED SOLUTIONS | CORRECT
ELABORATED &DETAILED ANSWERS!! GRADED A+ / 2025
VERSION!!
What factors limit business intelligence initiatives? - ANSWER-
Firms that mismanage their customer data assets risk lawsuits,
brand damage, lower sales, fleeing customers, and can prompt
more restrictive legislation.
What do you need to know about the status of the enterprise's
current data? - ANSWER-The amount of data on corporate hard
drives doubles every six months. Does this company produce
comparatively more data or comparatively less?
Is the database structure appropriate for the organizational
need?
Is all available data being used to a competitive advantage?
What differences in how data is stored exist among information
systems used by the organization (i.e., how are fields defined
on each system: width, type of data, packed/unpacked, and so
forth)?
,What are some sources of available data the enterprise may
not be using to ,
gain a competitive advantage? - ANSWER-Enterprise
software (CRM, SCM
and ERP) that are a source for customer, supply chain, and/or
enterprise data.
Survey data to supplement a firm's operational data.
Data obtained from outside sources, when combined with a
firm's internal data
assets, which can give the firm a
competitive edge.
Contract with a data aggregator. However be careful as the
purchased data may not by itself yield a competitive advantage
since others may also have access to this data.
What are some concerns in managing the firm's business
intelligence activities? What factors limit business intelligence
initiatives? - ANSWER-Firms that mismanage their customer
data assets risk lawsuits, brand damage, lower sales, fleeing
customers, and can prompt more restrictive legislation.
Privacy issues and identity theft concerns.
,A major factor limiting business intelligence initiatives is
getting data into a form where it can be used (i.e., analyzed and
turned into information).
Legacy systems often limit data utilization because they were
not designed to share data, may not be compatible with newer
technologies, and may not be aligned with the firm's current
business needs.
Most transactional databases aren't set up to be
simultaneously accessed for reporting and analysis. In order to
run analytics, the data must first be ported to a data warehouse
or data mart.
How might you incorporate data warehousing, OLAP, and data
mining tools? - ANSWER-Data warehouses and data marts are
repositories for large amounts of transactional data awaiting
analytics and reporting.
Large data warehouses are complex, can cost millions, and
take years to build. Canned and ad hoc reports, digital
dashboards, and OLAP are all used to transform data into
information.
OLAP reporting leverages data cubes, which take data from
standard relational databases, calculating and summarizing
data for super-fast reporting access. OLAP tools can present
results through multidimensional graphs or via spreadsheet-
style cross-tab reports.
, Modern datasets can be so large that it might be impossible for
humans to spot underlying trends without the use of data
mining tools.
Businesses are using data mining to address issues in several
key areas including customer segmentation, marketing and
promotion targeting, and collaborative filtering.
Models influenced by bad data, missing or incomplete
historical data, and overengineering are prone to yield bad
results.
Analytics may not always provide the total solution for a
problem. Sometimes a pattern is uncovered, but determining
the best choice for a response is less clear.
You have just been appointed the process manager to evaluate
how customer satisfaction can be improved for United Airlines.
Process modeling and tracking software is available. What do
you plan to do to complete your evaluation? What else is of
concern to you in this task (other than that you may not
actually be an airline employee yourself)? - ANSWER-Process
modeling and documentation need to be completed. All the
elements (clients/customer, customer request, output, supplier,
request to the suppliers, input, work capacity, etc.) of each
process are recorded in a process model.
The span and limits of these processes are documented.
