1. Information Systems in Organizations 3.1.2. Managing the business: decision-making 3.1.3. Growing the business: knowledge management, R&D, and social business

2. Learn IT Assignment #3 : SAP 3 options to perform: 1.At a Temple lab where the software is installed 2.On your computer by downloading the SAP software 3.On any computer using the web version (not recommended but available) Refer to my email for your : System Name (a.k.a. SAPGUI – System ID), Client Number, UserID and initial password) READ & FOLLOW INSTRUCTIONS

3. How NBA Player Analytics Opened Up A Whole New Business For SAP SAP's work with the NBA taught them how to sell into businesses, a market they had previously never touched. Generally, businesses resist analytics. One of the first systems SAP built within the sports sphere was a _____________ for the San Francisco 49ers. Believing they are too small to benefit from, many modestly sized companies rely on instinct and tactile experience.

4. What is Data Analytics?

5. Trailer: Moneyball

6. The Decision-Making Process, Cliff Notes and are ongoing processes of evaluating situations or problems, considering alternatives, making choices, and following them up with the necessary actions. The most obviously troubling situations found in an organization can usually be identified as 00000 0 of underlying problems. Symptoms indicate that something is wrong with an organization, but they don't identify. Regardless of the method used, a manager needs to evaluate each in terms of its Feasibility, Effectiveness, and Consequences. The best alternative is the one that produces the most and the fewest serious disadvantages.

7. What to do with all this Data? 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).SAS

8. Structured and Unstructured Data Structured – 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 Email Facebook posts Tweets Comments on sites Images Videos Blogs – Chaos!

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

10. Data Analytics Descriptive 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?

11. Google Analytics Tracks web site metadata & user engagement # of sessions Average session duration Number of pages visited and duration at each Bounce rate Conversion

12. Paytronix Paytronix provides loyalty programs, CRM tools, and data insights to restaurants Paytronix Why do we care about loyalty? What are CRM tools? How does Paytronix work?

13. Types of Decisions You Face Analytics can help solve big, complex problems and questions Daily & Weekly regimented tasks

15. Scenario – Warehouse Manager You know you have too much cash tied up in inventory. You want to reduce inventory levels. You get a lot of heat when orders are placed and you can’t fill the order from inventory. What information do you need, how would you like to see it and how do you make decisions about adjusting inventory levels? Are these structured or unstructured decisions?

16. Databases & Data Warehouses

17. 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.

18. 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.

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

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

21. Data Marts

22. The Real Reason Organizations Resist Analytics The more organizations gather from more sources and algorithmically analyze, the more individuals, managers and executives become accountable for any unpleasant surprises and/or inefficiencies that emerge. Transforming the culture and practice of analytics inherently transforms your culture and practice of. – Enterprise politics and culture suggest analytics’ impact is less about measuring existing. ______________ than creating new accountability. Many organizations have invested more thought into acquiring capabilities than confronting the accountability crises they may create.

23. Short Clip: Big Data Revolution

24. TED Talk: The Beauty of Data Visualization

25. What is KM? Knowledge Management Explained Knowledge management is a discipline that promotes an integrated approach to identifying, capturing, evaluating, retrieving, and sharing all of an enterprise's assets. Describe knowledge as explicit, implicit, and. Perhaps the most central thrust in KM is to capture and make available the information and knowledge that is in as it were, and that has never been explicitly set down. Management, sometimes known as Enterprise Content Management, is the most immediate and obvious part of KM. The Stages of Development of KM: 1).. 2) HR and Corporate Culture 3) Taxonomy and Content Management

26. Everything You Need to Know About Open Innovation For business, open innovation is a more way to innovate. Open innovation is conceptually a more distributed, more participatory, more. _____________ approach to innovation. Useful knowledge today is widely distributed, and no company, no matter how capable or how big, could effectively on its own. There are two facets to open innovation: 1) “ ” aspect 2) “inside out” aspect

27. ? 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.

28. 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?

30. What are the benefits of Knowledge Management? What are the challenges of Knowledge Management?