Instructions
Read Chapters 9 and 10 (find in attachments)
Respond to the following prompts and questions:
Describe the use of business intelligence (BI) in a real-world situation that you have experienced, or research BI used within a Fortune 1000 organization. What tools are used for reporting and decision making? Why would managers and senior leadership want to have BI delivered as a set of dashboards?
How should BI be used to make decisions in an organization?
Conduct research using the internet, and discuss trends in artificial intelligence (AI) and robotics.
Response should be in 300 words and supported with credible outside references.
CHAPTER
9
Business Intelligence
and Analytics
Sergey Nivens/Shutterstock.com
Copyright 2018 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203
Know?Did Yo
u
• MetLife is implementing analytical software to identify
medical provider, attorney, and repair shop fraud to aid
its special investigations unit (SIU).
• Nearly 20 percent of Medicare patients were readmitted
to the hospital within 30 days of their initial discharge,
running up an additional $17 billion in healthcare costs.
Hospitals are now using BI analytics to identify patients
are high risk of readmission—especially now that
Medicare has begun reducing payments to hospitals
with high readmission rates.
• IBM Watson Analytics services, a cloud-based
business analytics tool that offers a variety of tools for
uncovering trends hidden in large sets of data, uses
baseball statistics on every player in Major League
Baseball from AriBall to build predictions of player
performance. You can use this service to gain an
edge over your fantasy baseball league competitors.
Principles Learning Objectives
• Business intelligence (BI) and analytics are used
to support improved decision making.
• Define the terms business intelligence (BI) and
analytics.
• Provide several real-world examples of BI and
analytics being used to improve decision making.
• Identify the key components that must be in place
for an organization to get real value from its BI and
analytics efforts.
• There are many BI and analytics techniques and
tools that can be used in a wide range of problem-
solving situations.
• Identify several BI techniques and discuss how
they are used.
• Identify several BI tools.
• Define the term self-service analytics and discuss
its pros and cons.
Copyright 2018 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203
Why Learn about Business Intelligence (BI)
and Analytics?
We are living in the age of big data, with new data flooding us from all directions at the
incomprehensible speed of nearly a zettabyte (1 trillion gigabytes or a 1 followed by 21 zeros) per year.
What is most exciting about this data is not its amount, but rather the fact that we are gaining the tools
and understanding to do something truly meaningful with it. Organizations are learning to analyze
large amounts of data not only to measure past and current performance but also to make predictions
about the future. These forecasts will drive anticipatory actions to improve business strategies,
strengthen business operations, and enrich decision making—enabling the organization to become more
competitive.
A wide range of business users can derive benefits from access to data, but most of them lack
deep information systems or data science skills. Business users need easier and faster ways to discover
relevant patterns and insights into data to better support their decision mak
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