Business Case 700 words + 300 words reflection + 10 min presentation pptx
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Week01BusinessDrivenTechnology.pptxHIT363
Enterprise IT Management
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Weekly Classes
Online on Teams on Wednesdays from 9.00-13.00
All questions can be directed to me on MS Teams or email at [email protected]
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Assessments
| Assessment | Type | Weight | Due Date |
| 1. 7-min Business Process Mapping Video Presentation | Individual | 15% | 26/03/23 |
| 2. Business Case 10-min video Presentation Report (750 word per each member) Reflection | Group Group Individual | 40% | 30/04/23 |
| 3. IT Feasibility Plan Report (1,000 word per each member) | Group | 45% | 04/06/23 |
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Forming your team
It is strongly advised that you choose your team early so you can decide on the organisation and business process you wish to work on.
For CAS and EXT students, please do not choose Sydney Groups
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Reaching me
You can always reach me by MS Teams, emails or appointments
My office is at Purple 12.3.02 (please make appointments so I can be prepared for our meeting(s))
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ENTERPRISE IT MANGEMENT?
What is it?
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Enterprise IT management is a strategy which details how organizations can transform the management of IT to maximize business value.
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Why is it important?
Any examples?
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Enterprise IT management is a strategy which details how organizations can transform the management of IT to maximize business value.
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CHAPTER ONE
Business Driven Technology
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CHAPTER ONE: OVERVIEW
Competing in the Information Age.
The Challenge of Departmental Companies.
Systems Thinking.
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LEARNING OUTCOMES
Describe the information age and the differences between data, information, business intelligence, and knowledge.
Explain systems thinking and how management information systems enable business communications.
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COMPETING IN THE INFORMATION AGE 1
Did you know . . .
Avatar, the movie, took over 4 yrs to make and cost $450 million.
Lady Gaga’s real name is Joanne Angelina Germanotta.
It costs millions for a 30-second advertising time slot during the Super Bowl.
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COMPETING IN THE INFORMATION AGE 2
Fact - The confirmation or validation of an event or object.
Information age - The present time, during which infinite quantities of facts are widely available to anyone who can use a computer.
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COMPETING IN THE INFORMATION AGE 3
Examples of the power of business and technology:
Amazon – Not a technology company; primary business focus was selling books.
Netflix – Not a technology company; primary business focus is streaming content.
Zappos – Not a technology company; primary business focus is selling shoes.
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COMPETING IN THE INFORMATION AGE 4
Internet of Things (I o T) - A world where interconnected Internet-enabled devices or “things” have the ability to collect and share data without human intervention.
Machine-to-Machine (M2M) - Refers to devices that connect directly to other devices.
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COMPETING IN THE INFORMATION AGE 5
The core drivers of the information age:
Data.
Information.
Business intelligence.
Knowledge.
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DATA 1
Data - Raw facts that describe the characteristics of an event or object.
Structured data – Stored in a traditional system such as a relational database or spreadsheet.
Unstructured data – Not defined and does not follow a specified format.
Machine-generated data – Created by a machine without human intervention.
Human-generated data – Data that humans, in interaction with computers, generate.
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DATA 2
A fundamental role of all business managers is to be able to take the data and analyze it to find information to make great business decisions.
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DATA 3
Big data – A collection of large, complex data sets, including structured and unstructured data, which cannot be analyzed using traditional database methods and tools.
Snapshot – A view of data at a particular point in time.
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THE POWER OF BIG DATA ANALYTICS 1
Four Characteristics of Big Data:
Variety - Different forms of structured and unstructured data.
Veracity - The uncertainty of data, including biases, noise, and abnormalities.
Volume - The scale of data.
Velocity - The analysis of streaming data as it travels around the Internet.
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THE POWER OF BIG DATA ANALYTICS 2
Big data will create 4.4 million global M I S jobs.
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THE POWER OF BIG DATA ANALYTICS 3
| STRUCTURED DATA | UNSTRUCTURED DATA |
| Sensor data | Satellite images |
| Weblog data | Photographic data |
| Financial data | Video data |
| Click-stream data | Social media data |
| Point of sale data | Text message |
| Accounting data | Voice mail data |
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INFORMATION 1
Information - Data converted into a meaningful and useful context.
| Tony’s Business Information | Name | Total Profit |
| Who is Tony’s best customer by total sales? | Walmart | $560,789 |
| Who is Tony’s least-valuable customer by total sales? | Walgreens | $45,673 |
| Who is Tony’s best customer by profit? | 7-Eleven | $324,550 |
| Who is Tony’s least-valuable customer by profit? | King Soopers | $23,908 |
| What is Tony’s best-selling product by total sales? | Ruffles | $232,500 |
| What is Tony’s weakest-selling product by total sales? | Pringles | $54,890 |
| What is Tony’s best-selling product by profit? | Tostitos | $13,050 |
| What is Tony’s weakest-selling product by profit? | Pringles | $23,000 |
| Who is Tony’s best sales representative by profit? | R. Cross | $1,230,980 |
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INFORMATION 2
Report - A document containing data organized in a table, matrix, or graphical format allowing users to easily comprehend and understand information.
Static report - Created once based on data that does not change.
Dynamic report - Changes automatically during creation.
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BUSINESS INTELLIGENCE 1
Business intelligence - Information collected from multiple sources such as suppliers, customers, competitors, partners, and industries that analyzes patterns, trends, and relationships for strategic decision making.
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BUSINESS INTELLIGENCE 2
Analytics – The science of fact-based decision making.
Business Analytics – The scientific process of transforming data into insight for making better decisions.
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BUSINESS INTELLIGENCE 3
Descriptive analytics – Techniques that describes part performance and history.
Predictive analytics – Techniques that extract information from data and uses it to predict future trends and identify behavioral patterns.
Prescriptive analytics – Techniques that create models including the best decision to make or course of action to take.
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BUSINESS INTELLIGENCE 4
Behavioral analysis.
Correlation analysis.
Exploratory data analysis.
Pattern recognition analysis.
Social media analysis.
Speech analysis.
Text analysis.
Web analysis.
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KNOWLEDGE
Knowledge - Skills, experience, and expertise coupled with information and intelligence that creates a person’s intellectual resources.
Knowledge worker – Individual valued for their ability to interpret and analyze information.
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THE CHALLENGE: DEPARTMENTAL COMPANIES
Common departments working independently.
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THE M I S SOLUTION 1
Common departments working interdependently.
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THE M I S SOLUTION 2
Goods - Material items or products that customers will buy to satisfy a want or need. Clothing, groceries, cell phones, and cars are all examples of goods that people buy to fulfill their needs.
Cars.
Groceries.
Clothing.
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THE M I S SOLUTION 3
Services - Tasks performed by people that customers will buy to satisfy a want or need.
Teaching.
Waiting Tables.
Cutting Hair.
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SYSTEMS THINKING 1
Production - The process where a business takes raw materials and processes them or converts them into a finished product for its goods or services.
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SYSTEMS THINKING 2
Systems thinking – A way of monitoring the entire system by viewing multiple inputs being processed or transformed to produce outputs while continuously gathering feedback on each part.
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SYSTEMS THINKING 3
Management Information Systems (M I S) – A business function, like accounting and human resources, which moves information about people, products, and processes across the company to facilitate decision-making and problem-solving.
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LEARNING OUTCOME REVIEW
Now that you have finished the chapter please review the learning outcomes in your text.
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End of Main Content
Copyright 2022 © McGraw Hill LLC. All rights reserved. No reproduction or distribution without the prior written consent of McGraw Hill LLC.
Because learning changes everything.®
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Accessibility Content: Text Alternatives for Images
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THE POWER OF BIG DATA ANALYTICS 2 – TEXT ALTERNATIVE
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This figure shows that Big Data will create 4.4 million global M I S jobs by addressing the four common characteristics, namely volume, variety, velocity, and veracity. Volume, and variety are place side by side. Below volume is placed velocity, and below variety is placed veracity. Volume or Scale of Data includes to 40 Zettabytes of Data Created by 2020, 2.5 Quintillion Bytes of Data Created Daily (10 Million Blu-rays), 100 Terabytes of Data per Company, 6 Billion Cell Phones Creating Data, and 90 Percent of Data Created Daily (10 Million Blu-rays). Variety or Different Forms of Data include 90 Percent of Data Created Is Unstructured, 400 Million Wireless Monitors, 4 Billion Hours of Video Created, 400 Million Tweets, and 30 Billion Pieces of Content Shared on Facebook Monthly. Velocity or Analysis of Streaming Data includes Every Minute We Create 72 Hours of YouTube Video, 200,000 Instagram Posts, 205 Million Emails, 100 Sensors in Every Connected Car, and 19 Billion Network Connections. Veracity or Uncertainty of Data includes 1 in 3 Business Leaders Do Not Trust Data to Make Decisions, and $3.1 Trillion in Poor Data Costs per Year.
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THE CHALLENGE: DEPARTMENTAL COMPANIES – TEXT ALTERNATIVE
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Sales and marketing focus on moving goods or services into the hands of consumers. Finance and accounting focus on managing the company’s resources. Operations management focuses on manufacturing. Human resources focuses on hiring and training people. The point is that although each department has its own focus and data, none can work independently if the company is to operate as a whole.
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THE M I S SOLUTION 1 – TEXT ALTERNATIVE
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A depiction of various departments that work independently but still consider the impact each other has. Business decisions made by one department usually affect other departments. Marketing needs to analyze production and sales data to come up with product promotions and advertising strategies. Production needs to understand sales forecasts to determine the company’s manufacturing needs. Sales needs to rely on information from operations to understand inventory, place orders, and forecast consumer demand. All departments need to understand accounting and finance.
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SYSTEMS THINKING 1 – TEXT ALTERNATIVE
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The input is the lettuce, tomatoes, patty, bun, and ketchup. The process is cooking the patty and putting the ingredients together. The output is the completed hamburger sandwich.
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SYSTEMS THINKING 2 – TEXT ALTERNATIVE
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Input would be considered data that is entered in a computer. Process is a computer program that processes the data. This process leads to the output which is the resulting information from the computer program. Input, process, and output all require feedback which create controls that ensure correct processing.
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