Information Systems in Organizations

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Presentation transcript:

Information Systems in Organizations 3. 1. 2 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

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 Due date : by April 25

Learn IT Assignment #3 : SAP Due date : March 16, 3 pm (email or hard copy) Team of 2-3 (recommended) or individual 3 options to perform: At a Temple lab where the software is installed On your computer by downloading the SAP software 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

Build Your Own Study Guide The Decision-Making Process, Cliff Notes What are the key points from this reading? Students will be called upon at random

Implement the decision Establish a control and evaluation system 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

Types of Decisions You Face

What is Data Analytics?

Build Your Own Study Guide How NBA Player Analytics Opened Up A Whole New Business For SAP What are the key points from this reading? Students will be called upon at random

One application of data analytics…

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).

Data Analytics Track consumer behavior Predictive metrics What do consumers buy? How do users interface with a web site? How do you identify design problems? Predictive metrics 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

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

Technology Consulting Paytronix Paytronix provides loyalty programs, CRM tools, and data insights to restaurants Why do we care about loyalty? What are CRM tools? How does Paytronix work? Sales Product Technology Consulting Engineering

Databases & Data Warehouses

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

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

Data Marts

Build Your Own Study Guide The Real Reason Organizations Resist Analytics What are the key points from this reading? Students will be called upon at random

Will you be a player?

Filling in the Income Statement In-Class Activity… Feb 26 Filling in the Income Statement

Build Your Own Study Guide What is KM? Knowledge Management Explained What are the key points from this reading? Students will be called upon at random

Build Your Own Study Guide Everything You Need to Know About Open Innovation What are the key points from this reading? Students will be called upon at random

? 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.

Questions 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?

Domain Community Practice Community of Practice

Decision Making with Neural Networks In-Class Activity… March 7 Decision Making with Neural Networks