The document provides a case study presented by six students to their lecturer. It includes three questions related to how information technologies contribute to business success based on three companies - eCourier, Cablecom, and Bryan Cave Law Firm. It also includes two real world activity questions about researching latest business intelligence technologies and factors influencing companies' decisions to innovate. The students provided detailed responses to each question analyzing the case studies and giving examples.
Organizational change is closely tied to digitization. Economists have not appreciated how firms are employing AI besides employing it to deploy robots. In fact, many firms have innovated by creating intelligent analytic systems that change their ability to create new products and manage processes and production.
In these firms, AI helps firms understand complex operations, connect with customers on a personalized level, and obtain a far more sophisticated analysis of processes and services. The result is that AI and ML are creating many new economic advantages at the firm level and for customers.artifici
Case Solve 5.1:
INTERACTIVE SESSION: MANAGEMENT
SHOULD YOU USE YOUR IPHONE FOR WORK?
Case Solve 5.2:
INTERACTIVE SESSION: ORGANIZATIONS
NORDEA GOES GREEN WITH IT
Case No. 6.1
INTERACTIVE SESSION: TECHNOLOGY
BIG DATA, BIG REWARDS
Case No. 6.2
INTERACTIVE SESSION: TECHNOLOGY
BIG DATA, BIG REWARDS
Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docxstilliegeorgiana
Project 3 – Hollywood and IT
· Find 10 incidents of Hollywood portraying IT security incorrectly
· You can use movies or TV episodes
· Write 2-5 paragraphs for each incident. Use supporting citations for each part.
· What has Hollywood portrayed wrong? Describe the scene and what is being shown. Make sure to state whether it is partially wrong or totally fictitious.
· How would you protect/secure against what they show (answers might include install firewall, load Antivirus etc.)
· Use APA formatting for your sources on everything.
· Make sure to put your name on assignment.
Big Data and Social Media
Colgate Palmolive
Agenda Of socail media use
Buisness intellegence and Social media concenpts
Intellegent organization
Data Anaylysis and Data trustworthiness
Conclusion
Buisness intellegence and Social media concenpts
No-Hassle Documentation
Gain Trusted Followers
Spy on Competition
Learn Customer Demographics
Research and Analyze Events
Advertise More Accurately
Intellegent organization
They consistently use (big) data proactively
They know exactly where they want to go: all-round vision
They continuously discuss business matters: alignment
They talk to each other regarding positive and negative performance
They know their customers through and through
They think and work in an agile way
Data Anaylysis and Data trustworthiness
Data completeness and accuracy
Data credibility
Data consistency
Data processing and algorithms
Data Validity
Conclusion
How Colgate benefit from Big Data and Social Media
Social media increases sales and customers
Big data shows popular trends and popular companies
All around they are both beneficial
Big Data can find trends that can benefit you greatly
Criteria
Title Page:
Name, Contact info, title of Presentation
Slide 1
Adenda : Topic you going to cover in order
Slide 2
Discuss how big data, social media concepts and knowledge to successfully create business intellegence (Support your bullets points with data, analysis, charts)
Slide 3
Describe how big data can be used to build an intelligent organization
Slide 4
Discuss the importance of data source trustworthiness and data analysis
Slide 5
Conclusion
Slide 6
Big Data And Business Intelligence
Business Value With Big Data
For business to survive in a competitive environment, organizational change requires improved governance, sponsorship, processes, and controls, in addition to new skill sets and technology all work in harmony to deliver the benefits of big data. See Fig. 13.2
Data science has taken the business world by storm. Every field of study and area of business has been affected as companies realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de fac to programming language for data science. Its flexibility, power, sophistication, and expressiveness have ma ...
This document discusses simplifying analytics strategies. It recommends pursuing a simpler path to insights by accelerating data through a hybrid data platform and emerging technologies. This allows for fast data, insights, and outcomes. Examples show how next-gen BI and data visualization, data discovery, and machine learning can delegate work to analytics technologies to more easily uncover patterns and opportunities. The document emphasizes that each path to insights is unique and may involve hypothesis-based or discovery-based approaches.
1. Data science involves applying scientific methods and processes to extract knowledge and insights from data. It includes techniques like machine learning, statistical analysis, and data visualization.
2. Data science has many applications in fields like marketing, healthcare, banking, and government. It helps with tasks like demand forecasting, fraud detection, personalized recommendations, and policymaking.
3. The key characteristics of data science include business understanding, intuition, curiosity, and skills in areas like machine learning algorithms, statistics, programming, and communication. Data scientists help organizations make better decisions using data-driven insights.
In this article it is told that how MD Anderson cancer centre launched “moon shot” program which costs them too much almost about 62million dollars and cognition based approach hold on because cost too much and the Cognitive technology as it copy the function that human brain performs in multiple ways such as to recognize patterns and to process language
Different projects they launched but some companies want to bring dramatic changes through AI which is not possible but low honey fruits which are easy to develop are operate successfully
The Transformative Role of Data Analysis in Enhancing Customer Experience.pdfSoumodeep Nanee Kundu
In today's highly competitive business landscape, delivering an exceptional customer experience is no longer a luxury; it's a necessity. Customer expectations have risen to unprecedented levels, and companies that prioritize and enhance the customer experience gain a significant edge. One of the most potent tools for achieving this is data analysis. In this comprehensive exploration, we will delve into how data analysis can be harnessed to improve customer experience, from understanding customer needs to tailoring personalized experiences and optimizing business processes.
Data Analytics with Managerial Applications InternshipJahanvi Khedwal
Data Analytics with Managerial Applications Internship under Prof. Sameer Mathur,IIM Lucknonw-Presentation on "Simplify Your Analytics Strategy" by Narendra Mulani(Presentation by Jahanvi Khedwal)
Organizational change is closely tied to digitization. Economists have not appreciated how firms are employing AI besides employing it to deploy robots. In fact, many firms have innovated by creating intelligent analytic systems that change their ability to create new products and manage processes and production.
In these firms, AI helps firms understand complex operations, connect with customers on a personalized level, and obtain a far more sophisticated analysis of processes and services. The result is that AI and ML are creating many new economic advantages at the firm level and for customers.artifici
Case Solve 5.1:
INTERACTIVE SESSION: MANAGEMENT
SHOULD YOU USE YOUR IPHONE FOR WORK?
Case Solve 5.2:
INTERACTIVE SESSION: ORGANIZATIONS
NORDEA GOES GREEN WITH IT
Case No. 6.1
INTERACTIVE SESSION: TECHNOLOGY
BIG DATA, BIG REWARDS
Case No. 6.2
INTERACTIVE SESSION: TECHNOLOGY
BIG DATA, BIG REWARDS
Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docxstilliegeorgiana
Project 3 – Hollywood and IT
· Find 10 incidents of Hollywood portraying IT security incorrectly
· You can use movies or TV episodes
· Write 2-5 paragraphs for each incident. Use supporting citations for each part.
· What has Hollywood portrayed wrong? Describe the scene and what is being shown. Make sure to state whether it is partially wrong or totally fictitious.
· How would you protect/secure against what they show (answers might include install firewall, load Antivirus etc.)
· Use APA formatting for your sources on everything.
· Make sure to put your name on assignment.
Big Data and Social Media
Colgate Palmolive
Agenda Of socail media use
Buisness intellegence and Social media concenpts
Intellegent organization
Data Anaylysis and Data trustworthiness
Conclusion
Buisness intellegence and Social media concenpts
No-Hassle Documentation
Gain Trusted Followers
Spy on Competition
Learn Customer Demographics
Research and Analyze Events
Advertise More Accurately
Intellegent organization
They consistently use (big) data proactively
They know exactly where they want to go: all-round vision
They continuously discuss business matters: alignment
They talk to each other regarding positive and negative performance
They know their customers through and through
They think and work in an agile way
Data Anaylysis and Data trustworthiness
Data completeness and accuracy
Data credibility
Data consistency
Data processing and algorithms
Data Validity
Conclusion
How Colgate benefit from Big Data and Social Media
Social media increases sales and customers
Big data shows popular trends and popular companies
All around they are both beneficial
Big Data can find trends that can benefit you greatly
Criteria
Title Page:
Name, Contact info, title of Presentation
Slide 1
Adenda : Topic you going to cover in order
Slide 2
Discuss how big data, social media concepts and knowledge to successfully create business intellegence (Support your bullets points with data, analysis, charts)
Slide 3
Describe how big data can be used to build an intelligent organization
Slide 4
Discuss the importance of data source trustworthiness and data analysis
Slide 5
Conclusion
Slide 6
Big Data And Business Intelligence
Business Value With Big Data
For business to survive in a competitive environment, organizational change requires improved governance, sponsorship, processes, and controls, in addition to new skill sets and technology all work in harmony to deliver the benefits of big data. See Fig. 13.2
Data science has taken the business world by storm. Every field of study and area of business has been affected as companies realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de fac to programming language for data science. Its flexibility, power, sophistication, and expressiveness have ma ...
This document discusses simplifying analytics strategies. It recommends pursuing a simpler path to insights by accelerating data through a hybrid data platform and emerging technologies. This allows for fast data, insights, and outcomes. Examples show how next-gen BI and data visualization, data discovery, and machine learning can delegate work to analytics technologies to more easily uncover patterns and opportunities. The document emphasizes that each path to insights is unique and may involve hypothesis-based or discovery-based approaches.
1. Data science involves applying scientific methods and processes to extract knowledge and insights from data. It includes techniques like machine learning, statistical analysis, and data visualization.
2. Data science has many applications in fields like marketing, healthcare, banking, and government. It helps with tasks like demand forecasting, fraud detection, personalized recommendations, and policymaking.
3. The key characteristics of data science include business understanding, intuition, curiosity, and skills in areas like machine learning algorithms, statistics, programming, and communication. Data scientists help organizations make better decisions using data-driven insights.
In this article it is told that how MD Anderson cancer centre launched “moon shot” program which costs them too much almost about 62million dollars and cognition based approach hold on because cost too much and the Cognitive technology as it copy the function that human brain performs in multiple ways such as to recognize patterns and to process language
Different projects they launched but some companies want to bring dramatic changes through AI which is not possible but low honey fruits which are easy to develop are operate successfully
The Transformative Role of Data Analysis in Enhancing Customer Experience.pdfSoumodeep Nanee Kundu
In today's highly competitive business landscape, delivering an exceptional customer experience is no longer a luxury; it's a necessity. Customer expectations have risen to unprecedented levels, and companies that prioritize and enhance the customer experience gain a significant edge. One of the most potent tools for achieving this is data analysis. In this comprehensive exploration, we will delve into how data analysis can be harnessed to improve customer experience, from understanding customer needs to tailoring personalized experiences and optimizing business processes.
Data Analytics with Managerial Applications InternshipJahanvi Khedwal
Data Analytics with Managerial Applications Internship under Prof. Sameer Mathur,IIM Lucknonw-Presentation on "Simplify Your Analytics Strategy" by Narendra Mulani(Presentation by Jahanvi Khedwal)
25 Ways the Consumer Data Right Can Create Smoother and Smarter Customer Expe...PemaDoma1
This document outlines 25 potential use cases for how organizations can use consumer data accessed through Australia's Consumer Data Right (CDR) framework, also known as Open Banking. It discusses how the CDR allows consumers to share their personal data with trusted organizations. This drives innovation and competition by allowing recipient organizations to incorporate consumer, product, account, and transaction data into their own product and service offerings. The document then categorizes 25 specific use cases into two categories: "Smoother" use cases that improve customer experiences through automation and streamlining, and "Smarter" use cases that enable personalization and improved predictions. Each use case is described in 1-2 sentences to illustrate how organizations can leverage CDR data to benefit both customers
Chapter 10 Tools and Techniques for Quality Management.pptDr. Nazrul Islam
QMS have sub-elements, or tools, that enable users to tailor its use to specific project needs. There are seven conventional QMS tools: flow charts, Ishikawa diagrams, checklists, Pareto charts, histograms, scattergrams, and control charts.
This document discusses simplifying analytics strategies. It recommends pursuing a simpler path to insights by accelerating data through a hybrid technology environment. This allows for fast delivery of analytics to improve service quality. It also recommends delegating work to analytics technologies like business intelligence and data visualization to more easily uncover patterns. Different analytic techniques like data discovery, applications, and machine learning can further help companies gain insights from their data in a simplified manner. The path to insights is unique for each company based on their goals, data, and technologies.
Indagine Surveyors aims to improve its surveying and permit approval processes through implementing new systems. It currently faces issues like inefficient permit approvals causing delays, lack of online presence and documentation. To address this, it plans to upgrade its documentation system, website and implement a new ERP system. This will help forecasting, increase online traffic, improve security and gain a competitive advantage through customized programs. The changes aim to help Indagine Surveyors achieve its financial goals and provide better customer service.
Tools and Techniques for Quality ManagementNazrul Islam
The tools and techniques most commonly used in Quality management and process improvement are: Cause and effect diagram. Control Charts. Histogram. Pareto Charts.
Driving Digital Supply Chain Transformation - A Handbook - 23 MAY 2017Lora Cecere
Insights on driving a digital transformation based on research on new technologies, advisory work with clients, and quantitative research projects. This is a short handbook to help companies get started on their journey to define the digital supply chain.
This document discusses new patterns of innovation driven by data and analytics. It identifies five patterns: 1) augmenting products to generate data to improve design and new services, 2) digitizing assets like music and video to create new business models, 3) combining data within and across industries to innovate, 4) trading data to create new offerings, and 5) codifying distinctive service capabilities onto the cloud to globalize local services. The document argues that leveraging big data through these patterns, particularly combining various data sources, will benefit companies the most for innovation in the future.
Data analytics and digital transformation go hand in hand. Data analytics provides the foundation upon which digital transformation can thrive. By harnessing the power of data, organizations can make informed decisions and create personalized experiences for their customers.
1. Information technology plays an important role in supporting organizational strategy and transformation by aligning business and IT strategies. A strategic information system (SIS) helps organizations achieve long-term goals by providing insights into their current situation and future environment.
2. Applications of IT-supported SIS include supporting innovation, improving responsiveness to market changes, increasing collaboration, enhancing customer insights, introducing new business models, and providing competitive advantages such as innovative applications, competitive weapons, cost reductions, and new products.
3. Key strategic issues in implementing SIS are the risks associated with large investments in new technologies, planning challenges, and sustaining competitive advantages as systems are duplicated by competitors.
Data Mining in Life Insurance BusinessAnkur Khanna
The document proposes using data mining techniques for an insurance company. It discusses using data mining to establish insurance rates, acquire new customers, retain existing customers, develop new product lines, detect fraudulent claims, perform marketing campaigns, and coordinate different departments. Specific techniques mentioned include classification, estimation, prediction, profiling, and affinity grouping/association. The document also outlines the data mining process and provides examples of how US life insurers and other companies use data mining.
The document discusses how businesses can simplify their analytics strategy to generate insights that lead to real outcomes. It recommends that companies accelerate data through emerging technologies to speed up insight generation and business outcomes. Next-gen business intelligence can help companies improve decision making by presenting data in a visually appealing way to enable data-driven opportunities. The document also discusses how applications and machine learning can simplify advanced analytics to put power in the hands of business users to make data-driven decisions. It emphasizes that each company's path to analytics insight is unique and should have an outcome-driven mindset.
This document discusses how a big box retailer utilized big data to improve its business. It outlines the steps the retailer took:
1) It identified where big data could create advantages, such as predictive analytics to forecast sales declines. This would allow the retailer to be more proactive.
2) It built future capability scenarios to determine how to leverage big data, such as using social media data to predict problems.
3) It defined the benefits and roadmap for implementing big data, including investing millions over 5 years for a positive return. Benefits would include more consistent, faster information and insights.
The document provides details on how the retailer methodically planned and aligned its big data strategy to its business needs
This document provides information on becoming a data-driven business, including recognizing opportunities where big data can benefit a company. It discusses integrating big data by identifying opportunities, building future capability scenarios, and defining benefits and roadmaps. It also outlines six data business models: product innovators, system innovators, data providers, data brokers, value chain integrators, and delivery network collaborators. An example is given for each model.
Your firm needs to be committed to protecting information assets, including personal data and client documents. As a trusted advisor to our clients, the expectation is that we are aware of threats and are guarding their data. Data privacy and information security are fundamental components of doing business today, no matter how large your firm is.
In this paper we will look at three specific ways of protecting our clients:
1. Protection through our ability to research and improve intellectual capital
2. Protection through policies, procedures and processes
3. Protection by securing client data
This document discusses opportunities for data-driven growth and innovation. It explains that analyzing large amounts of data from various sources (i.e. big data) can provide valuable insights to create new products and services, improve efficiency, and generate new revenue streams. Specifically, it provides examples of how telecom operators can leverage network usage data and customer insights to partner with other industries and monetize consumer data while respecting privacy. Transparency around data usage is important to build customer trust.
This document discusses how connecting devices to the internet through IoT and analyzing the data through connected service experiences (CSX) can enable companies to have more proactive post-purchase relationships with customers. Specifically, it outlines 30 measurable business cases for how IoT and CSX can help companies lower costs, increase revenue, improve customer satisfaction and safety, and gain a competitive advantage by enabling predictive monitoring of products and proactive interventions. The document argues that preventing issues before customers complain is less expensive than reacting to complaints, and near real-time analysis of device data through CSX allows companies to take proactive actions that improve productivity, uptime, and aftermarket sales.
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This document provides an overview of business intelligence (BI), including what it is, how it is implemented, examples of how organizations use BI, and the typical components involved in a BI architecture. It defines BI as a set of processes and technologies that convert raw data into meaningful and useful information for driving business decisions. The key components of a BI architecture discussed are data sources, data integration and cleansing tools, analytics data stores, BI and visualization tools, and dashboards/reports for delivering insights.
The document discusses how two companies, CPS Energy and Lloyd's Construction, introduced smartphones into their business operations to increase profits. Both companies were already successful but saw an opportunity to further cut costs and maximize profits through smartphone technologies. The companies encountered resistance from employees during rollout. To improve reception, companies could provide training to demonstrate the technology's benefits beyond just email. Alternative proposals include in-depth management training and pilot testing with a small employee sample to share user experiences more widely.
Gender and Mental Health - Counselling and Family Therapy Applications and In...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
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This document outlines 25 potential use cases for how organizations can use consumer data accessed through Australia's Consumer Data Right (CDR) framework, also known as Open Banking. It discusses how the CDR allows consumers to share their personal data with trusted organizations. This drives innovation and competition by allowing recipient organizations to incorporate consumer, product, account, and transaction data into their own product and service offerings. The document then categorizes 25 specific use cases into two categories: "Smoother" use cases that improve customer experiences through automation and streamlining, and "Smarter" use cases that enable personalization and improved predictions. Each use case is described in 1-2 sentences to illustrate how organizations can leverage CDR data to benefit both customers
Chapter 10 Tools and Techniques for Quality Management.pptDr. Nazrul Islam
QMS have sub-elements, or tools, that enable users to tailor its use to specific project needs. There are seven conventional QMS tools: flow charts, Ishikawa diagrams, checklists, Pareto charts, histograms, scattergrams, and control charts.
This document discusses simplifying analytics strategies. It recommends pursuing a simpler path to insights by accelerating data through a hybrid technology environment. This allows for fast delivery of analytics to improve service quality. It also recommends delegating work to analytics technologies like business intelligence and data visualization to more easily uncover patterns. Different analytic techniques like data discovery, applications, and machine learning can further help companies gain insights from their data in a simplified manner. The path to insights is unique for each company based on their goals, data, and technologies.
Indagine Surveyors aims to improve its surveying and permit approval processes through implementing new systems. It currently faces issues like inefficient permit approvals causing delays, lack of online presence and documentation. To address this, it plans to upgrade its documentation system, website and implement a new ERP system. This will help forecasting, increase online traffic, improve security and gain a competitive advantage through customized programs. The changes aim to help Indagine Surveyors achieve its financial goals and provide better customer service.
Tools and Techniques for Quality ManagementNazrul Islam
The tools and techniques most commonly used in Quality management and process improvement are: Cause and effect diagram. Control Charts. Histogram. Pareto Charts.
Driving Digital Supply Chain Transformation - A Handbook - 23 MAY 2017Lora Cecere
Insights on driving a digital transformation based on research on new technologies, advisory work with clients, and quantitative research projects. This is a short handbook to help companies get started on their journey to define the digital supply chain.
This document discusses new patterns of innovation driven by data and analytics. It identifies five patterns: 1) augmenting products to generate data to improve design and new services, 2) digitizing assets like music and video to create new business models, 3) combining data within and across industries to innovate, 4) trading data to create new offerings, and 5) codifying distinctive service capabilities onto the cloud to globalize local services. The document argues that leveraging big data through these patterns, particularly combining various data sources, will benefit companies the most for innovation in the future.
Data analytics and digital transformation go hand in hand. Data analytics provides the foundation upon which digital transformation can thrive. By harnessing the power of data, organizations can make informed decisions and create personalized experiences for their customers.
1. Information technology plays an important role in supporting organizational strategy and transformation by aligning business and IT strategies. A strategic information system (SIS) helps organizations achieve long-term goals by providing insights into their current situation and future environment.
2. Applications of IT-supported SIS include supporting innovation, improving responsiveness to market changes, increasing collaboration, enhancing customer insights, introducing new business models, and providing competitive advantages such as innovative applications, competitive weapons, cost reductions, and new products.
3. Key strategic issues in implementing SIS are the risks associated with large investments in new technologies, planning challenges, and sustaining competitive advantages as systems are duplicated by competitors.
Data Mining in Life Insurance BusinessAnkur Khanna
The document proposes using data mining techniques for an insurance company. It discusses using data mining to establish insurance rates, acquire new customers, retain existing customers, develop new product lines, detect fraudulent claims, perform marketing campaigns, and coordinate different departments. Specific techniques mentioned include classification, estimation, prediction, profiling, and affinity grouping/association. The document also outlines the data mining process and provides examples of how US life insurers and other companies use data mining.
The document discusses how businesses can simplify their analytics strategy to generate insights that lead to real outcomes. It recommends that companies accelerate data through emerging technologies to speed up insight generation and business outcomes. Next-gen business intelligence can help companies improve decision making by presenting data in a visually appealing way to enable data-driven opportunities. The document also discusses how applications and machine learning can simplify advanced analytics to put power in the hands of business users to make data-driven decisions. It emphasizes that each company's path to analytics insight is unique and should have an outcome-driven mindset.
This document discusses how a big box retailer utilized big data to improve its business. It outlines the steps the retailer took:
1) It identified where big data could create advantages, such as predictive analytics to forecast sales declines. This would allow the retailer to be more proactive.
2) It built future capability scenarios to determine how to leverage big data, such as using social media data to predict problems.
3) It defined the benefits and roadmap for implementing big data, including investing millions over 5 years for a positive return. Benefits would include more consistent, faster information and insights.
The document provides details on how the retailer methodically planned and aligned its big data strategy to its business needs
This document provides information on becoming a data-driven business, including recognizing opportunities where big data can benefit a company. It discusses integrating big data by identifying opportunities, building future capability scenarios, and defining benefits and roadmaps. It also outlines six data business models: product innovators, system innovators, data providers, data brokers, value chain integrators, and delivery network collaborators. An example is given for each model.
Your firm needs to be committed to protecting information assets, including personal data and client documents. As a trusted advisor to our clients, the expectation is that we are aware of threats and are guarding their data. Data privacy and information security are fundamental components of doing business today, no matter how large your firm is.
In this paper we will look at three specific ways of protecting our clients:
1. Protection through our ability to research and improve intellectual capital
2. Protection through policies, procedures and processes
3. Protection by securing client data
This document discusses opportunities for data-driven growth and innovation. It explains that analyzing large amounts of data from various sources (i.e. big data) can provide valuable insights to create new products and services, improve efficiency, and generate new revenue streams. Specifically, it provides examples of how telecom operators can leverage network usage data and customer insights to partner with other industries and monetize consumer data while respecting privacy. Transparency around data usage is important to build customer trust.
This document discusses how connecting devices to the internet through IoT and analyzing the data through connected service experiences (CSX) can enable companies to have more proactive post-purchase relationships with customers. Specifically, it outlines 30 measurable business cases for how IoT and CSX can help companies lower costs, increase revenue, improve customer satisfaction and safety, and gain a competitive advantage by enabling predictive monitoring of products and proactive interventions. The document argues that preventing issues before customers complain is less expensive than reacting to complaints, and near real-time analysis of device data through CSX allows companies to take proactive actions that improve productivity, uptime, and aftermarket sales.
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This document provides an overview of business intelligence (BI), including what it is, how it is implemented, examples of how organizations use BI, and the typical components involved in a BI architecture. It defines BI as a set of processes and technologies that convert raw data into meaningful and useful information for driving business decisions. The key components of a BI architecture discussed are data sources, data integration and cleansing tools, analytics data stores, BI and visualization tools, and dashboards/reports for delivering insights.
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1. Case - 1, Group- 1
Date : 4 December, 2023; Monday
Presented by
Dip Sarker Christopher (497)
Golam Kibria (523)
Md. Ferdanur Rahman
Resun(508)
Shiuli Akter Liza (517)
Halima Akter (500)
Md Ridoy Hossen (525)
Submitted to
Ms. Rifat Nowshera
Lecturer
Southeast Business School
eCourier, Cablecom, and Bryan Cave: Delivering Value through Business
Intelligence
2. CASE STUDY QUESTIONS REAL WORLD ACTIVITIES
1
How do information
technologies contribute to
the business success of the
companies depicted in the
case? Provide an example
from each company
explaining how the
technology implemented
led to improved
performance.
2
In the case of law firm
Bryan Cave discussed
above, the use of BI
technology to improve the
availability, access, and
presentation of existing
information allowed them
to provide tailored and
innovative services to
their customers. What
other professions could
benefit from a similar use
of these technologies, and
how? Develop two
different possibilities.
3
Cablecom developed a
prediction model to better
identify those customers at
risk of switching to other
company in the near
future. In addition to those
noted in the case, what
other actions could be
taken if that information
were available? Give
some examples of these.
Would you consider
letting some customers
leave anyway? Why?
1
Use the Internet to
research the latest
offerings in business
intelligence technologies
and their uses by
companies. What
differences can you find
with those reviewed in
the case? Prepare a
report to summarize your
findings and highlight new
and innovative uses of
these technologies.
2
Why do some companies
in a given industry, like
eCourier above, adopt
and deploy innovative
technologies while others
in the same line of
business do not? Break
into small groups with
your classmates to discuss
what characteristics of
companies could
influence their decision to
innovate with the use of
information technologies.
3. 1
How do information technologies contribute to the business success of the companies depicted in the case? Provide an
example from each company explaining how the technology implemented led to improved performance.
eCourier
1. eCourier used operational business intelligence software from a
company called SeeWhy.
2. This software allowed eCourier to monitor inactive client accounts
and booking changes.
3. To monitor dormant accounts and booking changes.
4. New data saved eCourier money by reducing the requirement for
extra staff to monitor service satisfaction.
4. 1
How do information technologies contribute to the business success of the companies depicted in the case? Provide an
example from each company explaining how the technology implemented led to improved performance.
Cablecom
1. Cablecom used SPSSfor data mining and Dimensions for survey
research.
2. Statistical software filtered client data for problems.
3. The software provided a more accurate view of client satisfaction.
4. Cablecom used these two technologies to identify unhappy
consumers and keep them.
5. 1
How do information technologies contribute to the business success of the companies depicted in the case? Provide an
example from each company explaining how the technology implemented led to improved performance.
m
nd Dimensions for survey
for problems.
view of client satisfaction.
to identify unhappy
Bryan Cave
1. BryanCavelawfirm implemented business intelligence
tools
2. These techniqueslet the firmmaximizeprofitswhile meeting
client needs for set pricing.
3. BI tools trackedbudgetsandresourceusagein realtime,
improvingprojectmanagementandclient billing.
4. A diversitypanel improvedclient reportingtransparency.
6. CASE STUDY QUESTIONS REAL WORLD ACTIVITIES
1
How do information
technologies contribute to
the business success of the
companies depicted in the
case? Provide an example
from each company
explaining how the
technology implemented
led to improved
performance.
2
In the case of law firm
Bryan Cave discussed
above, the use of BI
technology to improve the
availability, access, and
presentation of existing
information allowed them
to provide tailored and
innovative services to
their customers. What
other professions could
benefit from a similar use
of these technologies, and
how? Develop two
different possibilities.
3
Cablecom developed a
prediction model to better
identify those customers at
risk of switching to other
company in the near
future. In addition to those
noted in the case, what
other actions could be
taken if that information
were available? Give
some examples of these.
Would you consider
letting some customers
leave anyway? Why?
1
Use the Internet to
research the latest
offerings in business
intelligence technologies
and their uses by
companies. What
differences can you find
with those reviewed in
the case? Prepare a
report to summarize your
findings and highlight new
and innovative uses of
these technologies.
2
Why do some companies
in a given industry, like
eCourier above, adopt
and deploy innovative
technologies while others
in the same line of
business do not? Break
into small groups with
your classmates to discuss
what characteristics of
companies could
influence their decision to
innovate with the use of
information technologies.
7. 2
In the case of law firm Bryan Cave discussed above, the use of BI technology to improve the availability, access, and
presentation of existing information allowed them to provide tailored and innovative services to their customers. What
other professions could benefit from a similar use of these technologies, and how? Develop two different possibilities.
The use of Business
Intelligence (BI)
technology in Bryan Cave
can be can enable
specialized and
innovative services in
different fields.
As example…
8. 2
In the case of law firm Bryan Cave discussed above, the use of BI technology to improve the availability, access, and
presentation of existing information allowed them to provide tailored and innovative services to their customers. What
other professions could benefit from a similar use of these technologies, and how? Develop two different possibilities.
The use of Business
Intelligence (BI)
technology in Bryan Cave
can be can enable
specialized and
innovative services in
different fields.
As example…
1
2
Healthcare Industry
to analyze patient data, treatment outcomes, and operational efficiency.
a) Improve Patient Care
b) Operational Efficiency
c) Predictive Analytics for Public Health
Education Sector
Use BI technologies to monitor student performance, interaction, and
utilization of resources.
a) Personalized Learning
b) Resource Management
c) Strategic Decision Making
9. CASE STUDY QUESTIONS REAL WORLD ACTIVITIES
1
How do information
technologies contribute to
the business success of the
companies depicted in the
case? Provide an example
from each company
explaining how the
technology implemented
led to improved
performance.
2
In the case of law firm
Bryan Cave discussed
above, the use of BI
technology to improve the
availability, access, and
presentation of existing
information allowed them
to provide tailored and
innovative services to
their customers. What
other professions could
benefit from a similar use
of these technologies, and
how? Develop two
different possibilities.
3
Cablecom developed a
prediction model to better
identify those customers at
risk of switching to other
company in the near
future. In addition to those
noted in the case, what
other actions could be
taken if that information
were available? Give
some examples of these.
Would you consider
letting some customers
leave anyway? Why?
1
Use the Internet to
research the latest
offerings in business
intelligence technologies
and their uses by
companies. What
differences can you find
with those reviewed in
the case? Prepare a
report to summarize your
findings and highlight new
and innovative uses of
these technologies.
2
Why do some companies
in a given industry, like
eCourier above, adopt
and deploy innovative
technologies while others
in the same line of
business do not? Break
into small groups with
your classmates to discuss
what characteristics of
companies could
influence their decision to
innovate with the use of
information technologies.
10. 3
Cablecom developed a prediction model to better identify those customers at risk of switching to other company in the near
future. In addition to those noted in the case, what other actions could be taken if that information were available? Give some
examples of these. Would you consider letting some customers leave anyway? Why?
Considering the financial and strategic elements of customer retention, a comprehensive
review of the long-term effects on the firm should precede the decision to allow consumers to
leave.
11. 3
Cablecom developed a prediction model to better identify those customers at risk of switching to other company in the near
future. In addition to those noted in the case, what other actions could be taken if that information were available? Give some
examples of these. Would you consider letting some customers leave anyway? Why?
Considering the financial and strategic elements of customer retention, a comprehensive
review of the long-term effects on the firm should precede the decision to allow consumers to
leave.
Proactive Customer Outreach
Enhanced Customer Support
Service Quality Improvement
Customer Loyalty Programs
Strategic Focus
Resource Allocation
12. CASE STUDY QUESTIONS REAL WORLD ACTIVITIES
1
How do information
technologies contribute to
the business success of the
companies depicted in the
case? Provide an example
from each company
explaining how the
technology implemented
led to improved
performance.
2
In the case of law firm
Bryan Cave discussed
above, the use of BI
technology to improve the
availability, access, and
presentation of existing
information allowed them
to provide tailored and
innovative services to
their customers. What
other professions could
benefit from a similar use
of these technologies, and
how? Develop two
different possibilities.
3
Cablecom developed a
prediction model to better
identify those customers at
risk of switching to other
company in the near
future. In addition to those
noted in the case, what
other actions could be
taken if that information
were available? Give
some examples of these.
Would you consider
letting some customers
leave anyway? Why?
1
Use the Internet to
research the latest
offerings in business
intelligence technologies
and their uses by
companies. What
differences can you find
with those reviewed in
the case? Prepare a
report to summarize your
findings and highlight new
and innovative uses of
these technologies.
2
Why do some companies
in a given industry, like
eCourier above, adopt
and deploy innovative
technologies while others
in the same line of
business do not? Break
into small groups with
your classmates to discuss
what characteristics of
companies could
influence their decision to
innovate with the use of
information technologies.
13. E-Commerce Analytics:
E-commerce analytics optimize the online purchasing funnel, analyzing traffic, conversion, retention, and loyalty, while
Shopify provides performance monitoring and tailored consumer interaction.
Geo-Analytics Platform:
Geo-analytics technologies like Orbital Insight use satellite images and geolocation to forecast landscape change in
numerous areas, including navigation and geofencing.
Online Behavioral Analysis System:
Lotte.com increased revenues by $10 million and customer loyalty by using behavioral analysis, a new website, and
targeted marketing.
Image Recognition and Visual Analytics:
This analytics category extracts information from photos and videos using computer vision and machine learning.
1
Use the Internet to research the latest offerings in business intelligence technologies and their uses by companies. What
differences can you find with those reviewed in the case? Prepare a report to summarize your findings and highlight new and
innovative uses of these technologies.
1.
2.
3.
4.
14. CASE STUDY QUESTIONS REAL WORLD ACTIVITIES
1
How do information
technologies contribute to
the business success of the
companies depicted in the
case? Provide an example
from each company
explaining how the
technology implemented
led to improved
performance.
2
In the case of law firm
Bryan Cave discussed
above, the use of BI
technology to improve the
availability, access, and
presentation of existing
information allowed them
to provide tailored and
innovative services to
their customers. What
other professions could
benefit from a similar use
of these technologies, and
how? Develop two
different possibilities.
3
Cablecom developed a
prediction model to better
identify those customers at
risk of switching to other
company in the near
future. In addition to those
noted in the case, what
other actions could be
taken if that information
were available? Give
some examples of these.
Would you consider
letting some customers
leave anyway? Why?
1
Use the Internet to
research the latest
offerings in business
intelligence technologies
and their uses by
companies. What
differences can you find
with those reviewed in
the case? Prepare a
report to summarize your
findings and highlight new
and innovative uses of
these technologies.
2
Why do some companies
in a given industry, like
eCourier above, adopt
and deploy innovative
technologies while others
in the same line of
business do not? Break
into small groups with
your classmates to discuss
what characteristics of
companies could
influence their decision to
innovate with the use of
information technologies.
15. Why do some companies in a given industry, like eCourier above, adopt and deploy innovative technologies while others
in the same line of business do not? Break into small groups with your classmates to discuss what characteristics of
companies could influence their decision to innovate with the use of information technologies.
3
Financial Resources
Financial strength is essential for
investing in innovation, as new
technologies often require
significant initial investments.
2
Company Culture
Innovative and risk-taking
companies are more likely to
embrace new technology than
those that refuse changes.
1
Leadership and Vision
Companies led by visionaries
recognize technology's potential,
invest more in creative ways for
competitive advantage.
4
Market Position and
Competition
Competition motivates businesses
to adopt new technology seeking an
advantage, while market leaders
may not innovate.
5
Customer Demand
and Expectations
ECourier's customer-focused
innovations show how customer-
focused businesses employ technology
to improve customer experience.
16. Why do some companies in a given industry, like eCourier above, adopt and deploy innovative technologies while others
in the same line of business do not? Break into small groups with your classmates to discuss what characteristics of
companies could influence their decision to innovate with the use of information technologies.
8
Risk Appetite
Companies' risk appetites affect
their use of new and uncertain
technology.
7
Technological
Competency and
Readiness
The regulatory environment
may stimulate or inhibit the
use of technology, while
severe limitations can limit or
increase expenses..
6
Regulatory Environment
Companies led by visionaries recognize
technology's potential, invest more in
creative ways for competitive
advantage.
9
Strategic Priorities
Industry type can impact usage of
technology. Companies spend more
in innovative technology in fast-
changing industries.
10
Industry Advances
Companies invest in innovative
technology more in fast-changing
sectors.