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Information Systems in Organizations 3.2 Systems Management.

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Presentation on theme: "Information Systems in Organizations 3.2 Systems Management."— Presentation transcript:

1 Information Systems in Organizations 3.2 Systems Management

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3 Build Your Own Study Guide Wikipedia: Systems Development Lifecycle Wikipedia: Systems Development Lifecycle What are the key points from this reading? Is it a sequential or iterative cycle? What are the key steps? Students will be called upon at random

4 ? What is the Systems Development Life Cycle (SDLC)? Waterfall Agile Requirements Analysis Design Coding Testing Training Go Live Maintenance Buy vs. Build

5 This is where we collect requirements Build vs. Buy Decision Integration and Testing Go Live Maintenance & Continuous evaluation & uprade Training START HERE

6 Build Your Own Study Guide Build vs. Buy: How to Know When You Should Build Custom Software Over Canned Solutions Build vs. Buy: How to Know When You Should Build Custom Software Over Canned Solutions What are the key points from this reading? What is better, to buy solutions off the shelf or build your own solution? How does the decision impact the SDLC? Students will be called upon at random

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8 What is the value of IT projects? Often intangible and difficult to measure Main objectives are to reduce labor costs or gain new business (increase revenue) ROI using NPV calculation Balanced Score Card (BSC) Causal Loop Diagram

9 The Information Age Redefining the Rules of Business

10 Build Your Own Study Guide What We Know, Now, About the Internet’s Disruptive Power What We Know, Now, About the Internet’s Disruptive Power What are the key points from this reading? Students will be called upon at random

11 The disruptive Power of the Internet 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

12 How has the photographic equipment industry been disrupted? ?

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

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15 Compliance Considerations Sarbanes-Oxley HIPAA HITECH FDA CMS Safe Harbor Agreement

16 Sarbanes-Oxley (2002) Enacted in response to major accounting scandals involving Enron and WorldCom Designed to prevent accounting fraud, increase corporate transparency, eliminate conflicts of interest, and protect whistle-blowers Has major impact on ERP systems and business software

17 Sarbanes-Oxley (2002) Public Company Accounting Oversight Board (PCAOB) Auditor Independence Corporate Responsibility Enhanced Financial Disclosures Analyst Conflicts of Interest Studies and Reports Corporate and Criminal Fraud Accountability White Collar Crime Penalty Enhancement Corporate Tax Returns (CEO) Corporate Fraud Accountability

18 HIPAA (1996) Title I: Health Care Access, Portability, and Renewability Title II: Preventing Health Care Fraud and Abuse; Administrative Simplification; Medical Liability Reform HIPAA Privacy Rule (2003) Transactions and Code Sets Rule Security Rule Unique Identifiers Rule (National Provider Identifier) Enforcement Rule

19 HITECH Act (2009) Health Information Technology for Economic and Clinical Health Act "the most important piece of health care legislation to be passed in the last 20 to 30 years” "foundation for health care reform” Electronic Health Record (EHR)

20 Build Your Own Study Guide CEA’s 5 Tech Trends for 2015: From Big Entertainment to Small Business CEA’s 5 Tech Trends for 2015: From Big Entertainment to Small Business What are the key points from this reading? Students will be called upon at random

21 1-Big Data

22 Big Data Insurance underwriting based on monitoring Credit rating based on indicators Purchase habits iBeacon – shopping behavior How we talk it (plain English, please!) Unstructured data So many sources

23 Big Data: Analytics ^ Click image to watch video

24 Big Data: Analytics Parallel Processing ETL (Extract, Load, Transform) Evolution of data generation MapReduce Employees, Companies Consumers, Web 2.0 Machine- generated ? Social Mobile Weblog Sensors Monitors Satellite

25 2-Robotics Autonomous cars Drones Cleaning robots (Roomba) MobileEye Automated pet care Lawn and garden robots Robots for child care? Roads? Where we’re going, we don’t need roads.

26 3-Digital Health & Self Monitoring FitBit Apple Watch Insulin pump Seizure-monitoring app

27 4-Entertainment, Gaming, & Immersion D-Box entertainment theatres simulate motion & feel Guitammer Company and ESPN2 broadcast in 4D – Simulate feel, look, sound, and vibration of the experience – Experience the game from the player’s perspective Kinect Wii Project Holodeck Oculus Rift virtual reality ^ Click image to view link

28 Build Your Own Study Guide Leagues see real benefits in daily fantasy sports Leagues see real benefits in daily fantasy sports What are the key points from this reading? Students will be called upon at random

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

30 5-Business Innovation Scalability Lower barriers of entry Lower switching costs Network effect Increasing returns to scale Shift to services – Think of SaaS – Software > hardware Multi-sided platforms – Uber – App Dev Big companies need to think about how they innovate – Alphabet as an example – Open Innovation as a model

31 GATHERING SYSTEM REQUIREMENTS In-Class Activity…March 11

32 Build Your Own Study Guide Hidden in the long tail Hidden in the long tail What are the key points from this reading? Students will be called upon at random

33 Normal Distribution J. C. F. Gauss Central Limit Theorem Symmetry around μ μ is the confluence of the mean, median, and mode of the data μ splits the data in half

34 Long Tail Distribution Portion of the distribution having a large number of occurrences far form the head or central part of the distribution. A larger share of population rests within its tail than would under a normal distribution Variety > bestsellers – Netflix – Amazon – iTunes There’s money in the tail How does a company “fatten the tail?”

35 Netflix Long Tail “…gets most of its profits from a large number of infrequently requested movies rather than from few large and profitable movies.”

36 Reminders / Definition Mean : average of the numbers (central value) Median : middle value of all numbers (placed in order) Mode : the number which appears most often in a set of numbers

37 THE LONG TAIL In-Class Activity… March 14 http://www.boxofficemojo.com/yearly/chart/?page=1&view=releasedate&view2=domestic&yr=2011&p=.htm


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