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.

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

Course Topics Overview Unit 1: Introduction Unit 2: Systems Analysis Unit 3: Organizational Systems Unit 4: Consumer Systems 2

Unit 3: Organizational Systems How do large firms function today? 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

Unit 3: Organizational Systems 3.2. Systems management Business analysis, requirements, and systems acquisition Developing systems: programming, testing, and deployment Systems integration: standards, interoperability, and external collaboration Managing risk: security, hackers, and privacy 4

Unit 3: Organizational Systems 3.3. Digital business innovation Generating IT value Competitive advantage of digital business models 5

Learn IT Assignment #3 : SAP Due date : October 20 Team or individual 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 for your : System Name (a.k.a. SAPGUI – System ID), Client Number, Userid and initial password) READ & FOLLOW INSTRUCTIONS

Extra credit 5 points towards exam#1 Swim Lane Diagram of a real business process Find a professional & knowledgeable person who will describe the process for you during an interview Map the process (swim lane diagram) Have the diagram signed by the professional to confirm accuracy

So what is this data analytics stuff all about? One application of data analytics… If a baseball team can do this and dramatically improve their standings, how much easier is it for a business to do these sorts of things and dramatically improve their balance sheet?

? What is “Data Analytics”?

Types of Decisions You Face

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?

Databases & Data Warehouses Operational Databases

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.

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.

Source:

What Is a Hypercube? Multi-dimensional “cubes” of information that summarize transactional data across a variety of dimensions. Envisioned by smart businesspeople, built by the IT pros

Data Marts

Big Data Opportunities Will you be a player?

Class Activities 1.Worksheet : “Decision Making” 19 Decision Monitoring/ Adjusting Input

Class Activities 2. Worksheet : “Decision Making with Neural Networks” 20 Decision Monitoring/ Adjusting Input

A few key points from last week What kinds of decisions would analytics be most helpful for? Least helpful? – Most : unstructured and non recurring (examples : planning inventory needed for the holiday season, determine pricing and promotion practices for the sales force) – Least : structured and recurring (examples : order catering for the monthly lunch & learn meeting, scheduling weekly staff meeting) Decision Support Systems (DSS) can utilize Data Analytics to help improve your decision making when it comes to less structured, infrequently made decisions.

? 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.

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?

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

Class Activity Worksheet : Organizational systems “Knowledge Management” 26

Unit 3: Organizational Systems How do large firms function today? 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 27

Unit 3: Organizational Systems 3.2. Systems management Business analysis, requirements, and systems acquisition Developing systems: programming, testing, and deployment Systems integration: standards, interoperability, and external collaboration Managing risk: security, hackers, and privacy 28

Unit 3: Organizational Systems 3.3. Digital business innovation Generating IT value Competitive advantage of digital business models 29