1. Information Systems in Organizations 3. 1. 2
Information Systems in Organizations Managing the business: decision-making Growing the business: knowledge management, R&D, and social business

2. Roadmap Week 1: Intro to MIS Week 2: Systems Analysis
What is MIS?
Week 2: Systems Analysis
Swimlanes
Week 3: Systems Analysis
ERDs
Week 4: Systems Analysis
ERP
Week 5
Exam #1
Learn IT! #1
Week 6: Organizational Systems
Decision Support
Knowledge Mgmt
Week 7: Organizational Systems
SCM
Week 8: Organizational Systems
CRM Systems
Week 9
Exam #2
Learn IT! #2
Week 10: JavaScript Basics
Hello World, Variables, Input and Output
Week 11: JavaScript Basics
Assignment, Mathematical and Sting Operators
Week 12: JavaScript Basics
Logical Operators and Conditional Logic
Week 13: JavaScript Basics
Loops
Week 14: JavaScript Basics
HTML & CSS
Exam #3
Learn IT! #3

3. Creating Systems for a Business
3.1 Types of Systems in Organizations Enterprise Systems (ERP) Decision Support Knowledge management, R&D, and social business 3.2 Systems Management 3.3 Digital Business Innovation

4. Required Reading The Decision-Making Process
How NBA Player Analytics Opened up A Whole New Business for SAP
The Real Reason Organizations Resist Analytics
What is KM? Knowledge Management Explained

5. The Decision Making Process
Organizations operate by making decisions
Managers make decisions to solve problems
Benefits of group decision making
Broader perspective
Employees more likely to be satisfied and support the final decision
Challenges of group decision making
Time-consuming
Groupthink

6. Identify limiting factors.
Define the problem.
Identify limiting factors.
Develop potential alternatives
Analyze the alternatives
Select the best alternative
Implement the decision
Establish a control and evaluation system
Make sure you are defining the correct problem
Make sure you are analyzing the alternatives accurately and not in a bubble – take in to consideration all factors, don’t let people be
Critical right away – allow for people to make suggestions
The best alternative is the one that produces the most advantages and the fewest serious disadvantages. Sometimes, the selection process can be fairly straightforward, such as the alternative with the most pros and fewest cons. Other times, the optimal solution is a combination of several alternatives.
Sometimes, though, the best alternative may not be obvious. That's when a manager must decide which alternative is the most feasible and effective, coupled with which carries the lowest costs to the organization. 

7. Video: 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!
Covered in video

8. Video: Types of Decisions You Face
Daily & Weekly
regimented tasks
Analytics can help solve big, complex problems and questions
Business professionals need to make lots of different types of decisions. The more structured and more often the recur, the easier they are to make. The less structured they are and the less frequently they recur, the more difficulty they are to make. Decision Support Systems (DSS) can utilize Data Analytics to help improve your decision making when it comes to less structured, infrequently made decisions.
Ask students for examples of the types of decisions that they make at work (probably more structured and recurring) as well as the decisions the senior leadership in their organization (probably less structured and less frequently recurring) make and plot them on this graphic.
Structured, recurring: what to buy to replenish inventory (warehouse, purchasing clerk, sales clerk), what bills to pay, what reports to look at
Structured, non-recurring: Implement ERP or financial system, create departments, create GL accounts, etc. Resolve one-time balance sheet discrepancies
Unstructured, recurring: communicate with executive management about company performance. Create a marketing campaign. Design new material and collateral.
Unstructured, non-recurring: identify a business opportunity and create a business model. Identify weak spots in company performance based on big data. Create a new product model. Identify a new product line you want to distribute.

9. What is
Data Analytics?
Just get students talking about Data Analytics

10. …Analytics is the process of making sense of large data sets and unlocking patterns, often using data visualization, to enable better decision making.

11. 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 (Alalouf).
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).
Covered in video

12. Video: Data Analytics Descriptive Analytics Predictive Analytics
Track consumer behavior
How do users interface with a web site?
Describes what is happening
Predictive Analytics
What will consumers buy? (Better yet, what do they want, but don’t know they want yet?)
When will demand surge?
Covered in video

13. Required Viewing: Big Data
Objectives
Identify unique characteristics of “Big Data”
Volume, Variety, Velocity, Veracity
Describe challenges and benefits of Big Data
Identify tools organizations use to leverage Big Data
Tools to store, process, and visualize

14. Why should you care about Data?
Check in with each of the majors – why is data important to them on a daily basis? WHat do they need to focus on to be successful!

16. Google Analytics Tracks web site metadata & user engagement
# of sessions
Average session duration
Number of pages visited and duration at each
Bounce rate
Conversion
Learn IT #5!!!
Conversion is the most important metric for users of Google Analytics. It tracks how many users of a web site make a certain desirable action, for example, fill out a contact form, subscribe to a feed, or purchase an item.

17. How NBA Player Analytics Opened Up A Whole New Business for SAP
Documenting, processing, and displaying everything that happens in a game shows power of SAP
Sports teams often have less than 50 people in front office
Small, family-owned businesses believe they know better than the data does
Working with sports teams taught SAP how to talk/sell to small businesses

18. The Real Reason Organizations Resist Analytics
With data, comes accountability
“Accountability creep” – the more data is analyzed, the more individuals, managers, and executives become accountable for unpleasant surprises/inefficiencies that emerge
Ex: supply-chain manager sees that inexpensive part he procured leads to most expensive repairs
Real obstacle to implementation is worry that exposed weaknesses and dysfunction will overshadow benefits

19. Short Clip: Big Data Revolution
Just a quick 3 min video to get students thinking that they need to leverage big data.

20. Video: OLTP
Online transaction processing, or OLTP, is a class of information systems that facilitate and manage transaction-oriented applications, typically for data entry and retrieval transaction processing.
OLTP is characterized by a large number of short on-line transactions (INSERT, UPDATE, DELETE). The main emphasis for OLTP systems is put on very fast query processing, maintaining data integrity in multi-access environments and an effectiveness measured by number of transactions per second. In OLTP database there is detailed and current data, and schema used to store transactional databases is the entity model. 

21. Video: OLAP
OLAP is an acronym for online analytical processing, which is a computer-based technique of analyzing data to look for insights. The term cube here refers to a multi-dimensional dataset, which is also sometimes called a hypercube if the number of dimensions is greater than 3.
OLAP is characterized by relatively low volume of transactions. Queries are often very complex and involve aggregations. For OLAP systems a response time is an effectiveness measure. OLAP applications are widely used by Data Mining techniques. In OLAP database there is aggregated, historical data, stored in multi-dimensional schemas. 

22. Source: http://datawarehouse4u.info/OLTP-vs-OLAP.html

23. Video: Databases & Data Warehouses
Talk about the world of OLTP and Operational Databases and how they feed our Data Warehouses, the realm of OLAP, DSS and Data Analytics. What would this look like in an ERP world?

24. Video: What Is a Hypercube?
Multi-dimensional “cubes” of information that summarize transactional data across a variety of dimensions.

25. Video: Data Marts

26. Roadmap Week 1: Intro to MIS Week 2: Systems Analysis
What is MIS?
Week 2: Systems Analysis
Swimlanes
Week 3: Systems Analysis
ERDs
Week 4: Systems Analysis
ERP
Week 5
Exam #1
Learn IT! #1
Week 6: Organizational Systems
Decision Support
Knowledge Mgmt
Week 7: Organizational Systems
SCM
Week 8: Organizational Systems
CRM Systems
Week 9
Exam #2
Learn IT! #2
Week 10: JavaScript Basics
Hello World, Variables, Input and Output
Week 11: JavaScript Basics
Assignment, Mathematical and Sting Operators
Week 12: JavaScript Basics
Logical Operators and Conditional Logic
Week 13: JavaScript Basics
Loops
Week 14: JavaScript Basics
HTML & CSS
Exam #3
Learn IT! #3

27. Creating Systems for a Business
3.1 Types of Systems in Organizations Enterprise Systems (ERP) Decision Support Knowledge management, R&D, and social business 3.2 Systems Management 3.3 Digital Business Innovation

28. ? Video: 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.

29. What is KM? Knowledge Management Explained
What is KM trying to accomplish?
Rich, Deep, Open Communication
Situational Awareness
What does KM consist of?
Content management
Expertise Location
Lessons Learned
Communities of Practice (CoPs)

30. Video: Question
What is a “Baby Boomer” and how many of them are in the workforce today?
How many will be in the workforce 10 years from now?
What is “Tacit Knowledge”?
Why is this keeping CEOs awake at night?
Is there technology that we can use to help with this?
Answers :
1) Baby boomers are people born during the demographic post–World War II : between the years 1946 and According to the population projections released by the U.S. Census Bureau in Dec 2014, Millennials (whom we define as between ages 18 to 34 in 2015) are projected to number 75.3 million, surpassing the projected 74.9 million Boomers (ages 51 to 69).  Baby Boomers represent 1/3 of the working population which is about 52 million (or 69% of baby boomers still in the workforce).
2) Very few (they will be 61 to 79 years old)
3) Tacit knowledge represents internalized knowledge that an individual may not be consciously aware of, such as how he or she accomplishes particular tasks. Tacit knowledge (as opposed to formal, codified or explicit knowledge) is the kind of knowledge that is difficult to transfer to another person by means of writing it down or verbalizing it. 
4) Loose TK when people are retiring…. Unless knowledge is shared, passed on and documented
5) KM Technologies : Groupware, Workflow, Content/Document management, Enterprise Portals, eLearning, Telepresence, etc.

31. Talk about all of the important information that is stored in the heads of people and ask how the organization can leverage these assets when they are stored in people’s heads.
Tacit knowledge (as opposed to formal, codified or explicit knowledge) is the kind of knowledge that is difficult to transfer to another person by means of writing it down or verbalizing it. For example, that London is in the United Kingdom is a piece of explicit knowledge that can be written down, transmitted, and understood by a recipient. However, the ability to speak a language, knead dough, use algebra,[1] or design and use complex equipment requires all sorts of knowledge that is not always known explicitly, even by expert practitioners, and which is difficult or impossible to explicitly transfer to other users.
Example:
One of the most convincing examples of tacit knowledge is facial recognition. ‘‘We know a person’s face, and can recognize it among a thousand, indeed a million. Yet we usually cannot tell how we recognize a face we know, so most of this cannot be put into words.’’ When you see a face, you are not conscious about your knowledge of the individual features (eye, nose, mouth), but you see and recognize the face as a whole[7]
Explicit knowledge is knowledge that can be readily articulated, codified, accessed and verbalized.[1] It can be easily transmitted to others. Most forms of explicit knowledge can be stored in certain media. The information contained in encyclopedias and textbooks are good examples of explicit knowledge.
Forms:
The most common forms of explicit knowledge are manuals, documents, procedures, and how-to videos. Knowledge also can be audio-visual. Works of art and product designcan be seen as other forms of explicit knowledge where human skills, motives and knowledge are externalized.

32. What are the benefits of Knowledge Management?
What are the challenges of Knowledge Management?
Talk about knowledge management.
The goal is to capture, organize and leverage knowledge (our most important asset) with technology.
Ask the students to list some of the benefits of doing this?
Ask students to list some of the challenges?
Employee buy-in
Knowledge overload
Information obsolesce
Being enamored by the technology and forgetting the goal

33. Domain
Community
Practice
Purpose
Community of Practice
 knowledge is a critical asset that needs to be managed strategically. Initial efforts at managing knowledge had focused on information systems with disappointing results. Communities of practice provided a new approach, which focused on people and on the social structures that enable them to learn with and from each other.
Communities of practice enable practitioners to take collective responsibility for managing the knowledge they need, recognizing that, given the proper structure, they are in the best position to do this.
Communities among practitioners create a direct link between learning and performance, because the same people participate in communities of practice and in teams and business units.
Practitioners can address the tacit and dynamic aspects of knowledge creation and sharing, as well as the more explicit aspects.
Communities are not limited by formal structures: they create connections among people across organizational and geographic boundaries.

34. Roadmap Week 1: Intro to MIS Week 2: Systems Analysis
What is MIS?
Week 2: Systems Analysis
Swimlanes
Week 3: Systems Analysis
ERDs
Week 4: Systems Analysis
ERP
Week 5
Exam #1
Learn IT! #1
Week 6: Organizational Systems
Decision Support
Knowledge Mgmt
Week 7: Organizational Systems
SCM
Week 8: Organizational Systems
CRM Systems
Week 9
Exam #2
Learn IT! #2
Week 10: JavaScript Basics
Hello World, Variables, Input and Output
Week 11: JavaScript Basics
Assignment, Mathematical and Sting Operators
Week 12: JavaScript Basics
Logical Operators and Conditional Logic
Week 13: JavaScript Basics
Loops
Week 14: JavaScript Basics
HTML & CSS
Exam #3
Learn IT! #3