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Data Flow Diagram

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Data Flow Diagram. Data Flow Symbols: (No universal set of symbols and either style can be used). Data Flows in one direction for level 1 diagrams. Where information comes from and where it goes to, how it gets stored and retrieved, inputs and outputs (for Inputs and Outputs: who puts the information in and where does it end up?). 
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Green IT

What is Green IT? Green IT is an attempt to make computing more eco-friendly. this can influence: -Manufacture of computers. -Transportation of computers. -The way computers are used. -The way computers are disposed of. Drivers of Green IT. United Nations Climate Change Summits- annually Discuss ways of reducing or managing the threat of climate change. UK Governments Policy- The 2011 Greening Government ICT Strategy made commitment to adopt more green policies within government departments e.g: use of cloud storage and shared services have resulted in fewer computers and less physical storage devices.  Purpose of Green IT. Ultimate aim is to create a more sustainable society for future generations. -Reduction in emissions that lead to climate change. -Reduction in pollution and non-degradable waste. Apart from benefits to the planet adopting green practices may have financial benefits to organisations e.g: reduced energy bills as well as a positive i
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Comparison of data protection legislation and regulation in different countries Country Name of applicable laws Comparison of these data protection laws in this country with those in the UK USA Safe Harbor Act/agreement Agrees to the same rules as the EU. France Data Protection Directive Is part of the EU so follows the same laws as other countries In the EU. Indonesia Electronic Information Law Very similar to the Data Protection in the EU. Australia The Privacy Act Very similar to the data protection act in the UK. Antigua Data Protection Act 2013 Any data that they deal with (public and/or private) is covered by the act. Canada Digital Privacy Act and Electronic Documents Act (PIPEDA) Conforms to the same standard as the EU Data Protection. Jordan The draft Data Protection Bill There is no law for Data protection.
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Information system notes.

Information system notes. What is an IS (Information system): An integrated set of components for collecting, storing, processing, and communicating information.  The collection of technical and human that provides, the storage, the computing, the distribution and communication for the information required by all/some part of an enterprise. A special form of IS (information system) is a management information system (or MIS), which provides data/information for managing an enterprise.  Features: Data, People, Hardware, Software, Telecommunications.  Two types of systems in organisations: Open system interacts with its environment through giving and receiving information. Closed systems are closed off from the outside environment, and all interaction and knowledge is transmitted within the closed system only. 
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Data Analysis Tools

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Data Analysis Tools. Data tables: A structured table of data in a database that can show different types of information. (an example of a Data Table). Visualisation of data: Is a tool which helps people to understand the significance of the data by putting it into a visual context. Patterns, trends and correlations are much easier to recognise when data visualisation is used. Trend and pattern identification: This is similar to the visualisation of data where you would use  a comparison line graph to analysis (e.g.) sales over a month period for the last five years. Data Cleaning: Is used to make sure that is the data is up-to-date and is held relevant while removing any useless data. Geographic information system/location mapping: Is the ability to track the geographical location of staff or items that are being shipped around the world, and finding lost items.
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Stages of Data Analysis.

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Stages of Data Analysis.
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Data, Information and Knowledge

Data, Information and Knowledge. Data:  Data are raw facts and figures that on their own have no meaning, (until given context). Examples of this can be: Alphanumeric characters. i.e. text, numbers, symbols. (yes,no,yes,no data sets have any meaning until they are given a context and processed into a usable form). Information:  Data that has been processed within a context to give it meaning, or data that has been processed into a form that gives it meaning. Examples: yes,no,yes,no --> Responses to the market research question--> "would you buy brand x at price y".  Knowledge:  Knowledge workers have specialist knowledge that makes them "experts".   -Based on formal and informal rules they have learned through training and experience.  -Examples include: doctors, managers, librarians, scientists e.c.t.  Information=Data+Context+Meaning                                    \__Processing__/  
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