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Foundations of Business Intelligence: Databases and Information Management
Information Technology Infrastructure
BIG DATA,BIG REWARDS
BIG DATA,BIG REWARDS
List and describe the business intelligence
technologies described in this case.
IBM BigSheets built on the Hadoop
Framework.
NYPD and IBM’s custom-made search
system.
IBM InfoSphere BigInsights based on IBM
System x iDaraPlex Server.
Roll:24230335140
Md. Ibrahim Tareq
01
Why did the companies described in this
case need to maintain and analyze big
data? What business benefits did they
obtain?
The British Library needed to perform
many searches and preserve old websites.
NYPD wanted to get information on
criminals ASAP.
Vesta needed to build more efficient wind
turbines in optimal locations.
Hertz needed to improve company response
time and customer satisfaction.
04
05
Describe the kinds of big data
collected by the organizations
described in this case.
The British Library’s Big Data-
British websites.
NYPD’s Big Data- Criminal
complaints, Crime & Public records.
Vesta’s Big Data- Wind library
data, Global weather data
Hertz’s Big Data- Web surveys,
Websites, Emails, Text messages.
02
03
Identify three decisions that were
improved by using big data.
NYPD was able to gather
information on suspects in
seconds.
Vesta figured out optimal wind
turbine spots and increased its
efficiency drastically.
Hertz was able to increase their
customer Satisfaction.
What kinds of organizations are most likely to need
big data management and analytical tools? Why?
Tools Include:
Social Media Platforms (Facebook,Twitter)
E-Commerce Platforms(Amazon, Alibaba)
Healthcare,Entertainment, Retail,Insurance
Research Institutes
Telecommunications
Banking and Financial Services etc.
Reasons:
Data-Driven Decision-making
Competitive Advantage
Operational Optimization
Predictive Analytics
Customer Experience
Enhancement
Steps:
Group Making & Topic Distribution
1.
Self Case Study, Understanding, Solution
2.
Making Cross-Functional Group
3.
Sharing the ideas & Sketch updated version of the
solution
4.
Get Back to the Home Group
5.
Sharing the Summary of the Case with the Group
Members One by One
6.
Making the Poster
7.
Poster Presentation
8.
Jigsaw Method
Jigsaw Method
Benefits:
Active Participation
Collaboration
Critical Thinking
Information Sharing
Reduced Competition
Increased Efficiency
Time Utilization

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Case study "Big Data Big Rewards" ID 140 BUP

  • 1. Foundations of Business Intelligence: Databases and Information Management
  • 3. BIG DATA,BIG REWARDS BIG DATA,BIG REWARDS List and describe the business intelligence technologies described in this case. IBM BigSheets built on the Hadoop Framework. NYPD and IBM’s custom-made search system. IBM InfoSphere BigInsights based on IBM System x iDaraPlex Server. Roll:24230335140 Md. Ibrahim Tareq 01 Why did the companies described in this case need to maintain and analyze big data? What business benefits did they obtain? The British Library needed to perform many searches and preserve old websites. NYPD wanted to get information on criminals ASAP. Vesta needed to build more efficient wind turbines in optimal locations. Hertz needed to improve company response time and customer satisfaction. 04 05 Describe the kinds of big data collected by the organizations described in this case. The British Library’s Big Data- British websites. NYPD’s Big Data- Criminal complaints, Crime & Public records. Vesta’s Big Data- Wind library data, Global weather data Hertz’s Big Data- Web surveys, Websites, Emails, Text messages. 02 03 Identify three decisions that were improved by using big data. NYPD was able to gather information on suspects in seconds. Vesta figured out optimal wind turbine spots and increased its efficiency drastically. Hertz was able to increase their customer Satisfaction. What kinds of organizations are most likely to need big data management and analytical tools? Why? Tools Include: Social Media Platforms (Facebook,Twitter) E-Commerce Platforms(Amazon, Alibaba) Healthcare,Entertainment, Retail,Insurance Research Institutes Telecommunications Banking and Financial Services etc. Reasons: Data-Driven Decision-making Competitive Advantage Operational Optimization Predictive Analytics Customer Experience Enhancement
  • 4. Steps: Group Making & Topic Distribution 1. Self Case Study, Understanding, Solution 2. Making Cross-Functional Group 3. Sharing the ideas & Sketch updated version of the solution 4. Get Back to the Home Group 5. Sharing the Summary of the Case with the Group Members One by One 6. Making the Poster 7. Poster Presentation 8. Jigsaw Method Jigsaw Method Benefits: Active Participation Collaboration Critical Thinking Information Sharing Reduced Competition Increased Efficiency Time Utilization