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Data-driven applications and solutions - Coggle Diagram
Data-driven applications and solutions
The explosion of data
Massive data storage centres now collect endless streams of data which is refered to as "big data"
We have successfully figured out how to balance computer power and expenses, with computer networks making storage extremely cost effective.
Big tech companies have built huge data farms with the intent of storing vast amount of data.
Evolving data security impacts
Data does not come solely from the manual input of users anymore.
Devices with built in GPS can locate you wherever you are at anytime, which can be stored for others to see.
There are upsides to constant GPS updating like: getting directions, better social media experience, and finding lost devices.
The downsides to constant GPS tracking are that companies can use personal location information to learn more about their customers then they might like.
Information as a commodity
Big databases can provide great advantages when managing data, especially for governments and agencies who use it to support the public.
The Australian Privacy Principles was developed to promote the ethical use of someone's personal data.
Information can be mined from the internet to build profiles about consumers that can be sold to organisations for monetary gain.
Information social solution
Australian Card, 1980s
In the mid 1920s, the government introduced the "Australian Card" which was a super key for the government to keep track of citizens.
MyGov website, 2010s
MyGov is a online portal which connects Australian citizens to government services.
It allows citizens to build their profile by supplying sensitive information such as a Tax file number and medicare information.
The verdict
There is still a question to be asked; is the government using personal data to monitor citiziens on a national scale?
Retention and disposal of data
The Australian Privacy acts states that the processes that organisations need to follow to dispose of sensitive data, if the need arises.
Information either must be destoryed, or de-identifyied.
De-identification of organisational data
People want to use valuable datasets without the risk of breaking other people's privacy.
The federal government publicly supports open data, and has a website (data.gov.au) that provides open data sources.
It is stated in the Australian Privacy Principles that data is completely anonnoymous when "The information is no longer about an identifiable individual."
Evaluating data-driven solutions
Evaluating while exploring data-driven problems and solutions
Ideas and information can be gathered from a range of sources and compiled into "mind-maps"
Mind-maps can be used to develop the functional and non- functional requirements about a solution.
Evalutaing while developing solutions
Evalution is used during the development phases which helps decide what must be changed to improve development.
Evaluating while generating solutions
Unit testing is used in the generate phase which helps evaluate the inner workings of a soultion.
User experience can be compared with the criteria and planning to determine its ability to solve the problem.
Evaluating solutions
When evaluting, the product is compared with the prescribed and self-determined requirements.
It needs be determined if the key objectives have been met and any issues that arise will need to be fixed.