1. Roadmap Week 1: Intro to MIS Week 2: Systems Analysis
What is MIS?
Week 2: Systems Analysis
Swimlanes
Week 3: Systems Analysis
ERDs
Learn IT! #1
Week 4: Systems Analysis
Decision Trees
Architecture Diagrams
Max Labs 0
Week 5
Exam #1
Week 6: Organizational Systems
ERP
Max Labs 1a & 1b
Week 7: Organizational Systems
Decision Support
Knowledge Management
Week 8: Organizational Systems
SDLC
Digital Innovation
Extra Credit! #1
Week 10
Extra Credit! #2
Exam #2
Week 9: Spring Break
No Class
Week 11: Organizational Systems
Supply Chain Management Systems
Max Labs 2a & 2b
Week 12: Organizational Systems
Customer Relationship Management Systems
Week 13: Organizational Systems
Platforms
Cloud Computing
Max Labs 3a & 3b
Week 14: Organizational Systems
Artificial Intelligence
Week 15
Exam #3 Prep
Learn IT! #2

2. Updates Gradebook Exam 2 Exam 2 Review Session
(Friday, March 24. Bring a #2 Pencil)
Exam 2 Review Session
(Tuesday, March 21, from 5:00 – 6:00 pm in Alter Hall Room 602)
Max Labs 2a and 2b Help Desk Sessions
(See Class Website for Help Desk Sessions) Due Friday, March 31)
Gradebook

3. Max Labs 2a & 2b Due Friday, March 31
Each part will take about an hour
Max Labs 2a
3 Screenshots
Learn about how to fix & prevent errors in data
Build to the user’s need
Max Labs 2b
2 Screenshots
Protect the integrity of your data
Create a big, beautiful data “map”

4. In-Class Activity…
Exam Preparation

5. Exam will Cover Readings, Videos and Lectures (60%)
ERP
Decision Support
Knowledge Management
SDLC
Digital Innovation
Mini-Case – Demonstrate your ability to apply (40%)
Swimlane Diagrams (ERP, Decision Support or Knowledge Management systems)
ERDs (ERP, Decision Support or Knowledge Management systems)

6. Structure of Exam Similar to Exam #1
25 Multiple Choice Questions based on weeks 6 through 9
15 Questions Based on Videos, Reading, Class Lecture
10 Questions on Mini Case Study, Swim Lane Diagram and Entity Relation Diagram (ERD)

7. Mini-Case Tips Read the Case
Carefully read the questions. Make sure you understand what you are being asked to do.
Go Back and Reread The Case
Discern what information is relevant to your task
Dissect it to find the answers/evidence in the text
Consider using colored highlighters and/or circle the major actors

8. Swim Lane Diagram Tips Read the case
Identify the Process. Give it a TITLE
Identify all of the people, departments i.e. actors that are involved in the process
Create your lanes based on the actors
Follow the process in the narrative (Look for VERBS)
What initiates it
What happens first? Next?...
Make sure you identify ACTIONS and DECISIONS
What alternate paths are possible with each decision?
What starts and ends the process?

9. Swim Lane Diagram Tips - Know Your Symbols
Start/End
Process/Activity
Decision
Flow

10. Entity Relationship Diagram (ERD) Tips
Read the case
What information do you need?
Identify all of the ENTITIES (Look for NOUNS)
What information describes the Entities? These are ATTRIBUTES.
What RELATIONSHIPS exist between entities
These are in the narrative.
They are typically real world relationships

11. Swim Lane Diagram Modeling Processes
This high-level diagram basically shows who does what and when as part of the order to cash process. On the next slide we will have a much more detailed diagram.

12. Applicant HR Manager Job Offer Hiring Manager _ ID Name e - Mail
Reviews Applicants
Reviews Applicants, Identifies Candidates and Schedules Interviews
Reviews Applicants, Identifies Candidates
Applicant _ ID PK
Name e -
Mail
Telephone
Address
Resume
HR Manager HR _
Manager ID PK
Name e -
Mail
Telephone ,
Receives
Makes
Sends Resume for Review
Rejects
Job Offer
Offer _ ID PK
Applicant HR
Manager
Hiring
Job Title
Salary
Start Date
Rejects, Requests Interview or Requests to Hire Candidate
Rejects, Requests Interview
Hiring Manager HR _
Manager ID PK
Name e -
Mail
Telephone

13. Unit 3: Information Systems in Organizations
3.1. Types of systems in organizations
Running the business: enterprise systems (ERP)
Managing the business: decision-making (analytics, BI, dashboards)
Growing the business: knowledge management, R&D, and social business
3.2. Systems Management
Business analysis, requirements, and systems acquisition
Developing systems: programming, testing, and deployment
3.3. Digital Business Innovation

14. 3.1. Types of systems in organizations
What is an ERP system?
What are risks and challenges of ERP system implementations?
What are benefits of ERP systems?

15. ERP Benefits
A single database providing superior, real-time, data-driven decision making
Automate core business operations such as lead-to-cash, order-to- fulfillment and procure-to-pay processes.
Standardizing business processes based on industry best practices
Force business process reengineering
Reduced operating costs
Rohm and Haas saved $200 million/year
Regulatory Compliance

16. ERP Challenges Adoption – People HATE change!
Configuration is extremely complex
Vanilla (config change only) vs. Customization
Implementation is extremely complex
Costs
Rohm and Haas spend $300 million over a period of three years
What else could they have done with $300 million?
Risks
Mega-failures with ERP implementations in the mid-90s
Many companies went out of business as a result
Internally focused
Need supply chain and customer relationship management too

17. ERP - Making it Happen Executive Sponsor
Driven by the business, not by IT
Requires experts from all of the functional areas
Top-tier Integration Partner
Training, training, training
Testing, testing, testing
Don’t cut corners!
It could cost you a fortune
It could cost you your business

18. 3.1. Types of systems in organizations
What is involved in the Decision Making Process
What are the types of decisions you face?
What is Data Analytics?

19. Decision Making Process
1. Define the problem 2. Identify limiting factors 3. Develop potential alternatives 4. Analyze the alternatives 5. Select the best alternative 6. Implement the decision 7. Establish a control and evaluation system
Symptom
Problem
Long Wait Time
Insufficient Staffing

20. Types of Decisions You Face

21. What to do with all this Data?
Information
Knowledge
Data Analytics is the art and science of examining raw data for the purpose of gaining insight and drawing actionable conclusions about business problems.
Big Data Analytics is the process of examining big data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions (SAS).

22. Structured and Unstructured Data
Everything we have done in this course thus far
ERD, organizational databases, ERP
Clearly defined data entities, types, relationships, and hierarchies
Unstructured
User generated data
Facebook posts
Tweets
Comments on sites
Images
Videos
Blogs
Chaos!

23. Data Analytics Descriptive Analytics Predictive Analytics
Track consumer behavior
What do consumers buy?
How do users interface with a web site?
How do you identify design problems?
Predictive Analytics
What will consumers buy? (Better yet, what do they want that they don’t know about yet?)
When will demand surge?
Credit card companies can predict divorce

24. 3.1. Types of systems in organizations
What is Knowledge Management?
What is Tacit Knowledge?
What are benefits of Knowledge Management?
What are some challenges with Knowledge Management?

25. What is Knowledge Management
Knowledge management (KM) is the process of capturing, developing, sharing, and effectively using organizational knowledge. It refers to a multi-disciplinary approach to achieving organizational objectives by making the best use of knowledge.

26. 3.2. Systems Management
What is the Systems Development Life Cycle (SDLC) and why is it important?
What are the phases of the Systems Development Life Cycle (SDLC)?
What are some key differences between the waterfall vs. agile approach of development?
What are some key similarities between the waterfall vs. agile approach of development?
Why should you consider developing your own custom software?
Why should you consider using canned solutions and not developing your own custom software?
Why is testing important?

27. SDLC Phases: Waterfall Methodology
Requirements Gathering and the BRD
Conept Map & Architecture Diagram; Build vs. Buy Decision
Modeling: Swim Lanes & Entity Relationship Diagrams
Engineering & Implementation
SDLC phases:
Preliminary analysis: The objective of phase 1 is to conduct a preliminary analysis, propose alternative solutions, describe costs and benefits and submit a preliminary plan with recommendations.
Systems design: Describes desired features and operations in detail, including screen layouts, business rules, process diagrams, pseudocode and other documentation.
Development: The real code is written here.
Integration and testing: Brings all the pieces together into a special testing environment, then checks for errors, bugs and interoperability.
Acceptance, installation, deployment: The final stage of initial development, where the software is put into production and runs actual business – includes Training!!
Maintenance: During the maintenance stage of the SDLC, the system is assessed to ensure it does not become obsolete. This is also where changes are made to initial software. It involves continuous evaluation of the system in terms of its performance.
Evaluation: Some companies do not view this as an official stage of the SDLC, while others consider it to be an extension of the maintenance stage, and may be referred to in some circles as post-implementation review.
Disposal: In this phase, plans are developed for discarding system information, hardware and software in making the transition to a new system. The purpose here is to properly move, archive, discard or destroy information, hardware and software that is being replaced, in a manner that prevents any possibility of unauthorized disclosure of sensitive data. The disposal activities ensure proper migration to a new system.
Acceptance Testing, Training
Go Live
Maintenance, Upgrade & Support

28. While some organizations still use the traditional SDLC and while the traditional SDLC is a great way to look at projects from a high level, many organizations now use variations on the traditional SDLC that use an iterative approach to deliver solutions. Make sure that students understand that this approach enables the development team to demonstrate value early on even if you need to go through many iterations to achieve the final deliverable. Make sure they understand that the subject matter experts typically have a more intimate involvement with the development process using this type of approach.
Agile development:
Agile methodology is an alternative to traditional project management, typically used in software development. It helps teams respond to unpredictability through incremental, iterative work cadences, known as sprints. Agile methodologies are an alternative to waterfall, or traditional sequential development.
 It promotes adaptive planning, evolutionary development, early delivery, continuous improvement, and encourages rapid and flexible response to change.
10 key principles of agile:
1. Active user involvement is imperative
2. The team must be empowered to make decisions
3. Requirements evolve but the timescale is fixed
4. Capture requirements at a high level; lightweight & visual
5. Develop small, incremental releases and iterate
6. Focus on frequent delivery of products
7. Complete each feature before moving on to the next
8. Apply the 80/20 rule
9. Testing is integrated throughout the project lifecycle – test early and often
10. A collaborative & cooperative approach between all stakeholders is essential
There are various methodologies that are collectively known as agile, as they promote the values of the agile manifesto and they are consistent with the above principles.

29. 3.3. Digital Business Innovation
How has the internet changed the way business operates?
How we market products and services
How we process payment
How we discover new prospects
Virtual reality driven businesses
New opportunities for crime

30. Effects of the Internet
Increase in competition
Decrease in margins
Increase in caliber and quality
Increase in rate of change

31. What are some key trends in technology?
Different Realities
Driverless Cars
Wearables
Artificial Intelligence
The cloud and IoT

32. What is the Long Tail? Variety > bestsellers
Netflix
Amazon
iTunes
There’s money in the tail
Advertising products
Google
Yahoo
Bing
Travel bookings
How does a company “fatten the tail?”

33. Fantasy Sports Great for: Live viewership Advertising
Content Providers
Real money in imaginary games