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Evaluating data driven Applications and solutions - Coggle Diagram
Evaluating data driven Applications and solutions
An Explosion of DATA
live in a world that is creating and consuming data in epic proportions
rise to terms such as 'big data'
successful overcome a number of challenges relating to power and cost
Data-driven company such as google have built vast arrays of computing and data-storage across the world
Many company consume data
Information as a commodity
Information can be 'mined' from the internet
sensitive user information be easily shared by government agencies to support and respond to growing needs
Supermarkets such as coles use loyalty cards as a means of collecting data
When you sign up to a service, you must provide details such as name and email address which is data
Evolving Data security impacts
Data about individuals no longer comes solely from manual input like forms anymore
The downside is that organisation can access and use persona location information
While these innovative approaches to data are intended to improve user experience, the fallout is that data can be collected by third parties
Information social evolution
Australia Card, 1980's
The Card was a 'super key'
Individuals could have been requested to present all verifying identification
Once cards were allocated to everyone they would be required to use it for finding a job or seeking government services
Some people believed this was a way of controlling and spying on a countries citezens
MyGov website, 2010
Centralised authentication portal
new accounts can be created easily by supplying critical personal information
Seen as a safe way to authenticate user's identities
The System is designed to ease the complication of accessing services online
This Government Data is built on extremely detailed records about an individual
The Verdict
After 30 years, still a big question remains
Did Australia's government mature and evolve to legitimise data identification or has the card program been implemented by stealth over a generation?
Retention and disposal of data
Organisations have processes to deal with the retention and disposal of data
At other times, companies may be prescribed by the law to retain certain types of data for specified times.
when the time is needed the Australian federal police are able to access that information
In 2016, the ABC investigated and reported on how the government were making requests via the Australian federal police to investigate meta data information
De-identification of organisational data
Rapid Growth of data within institutions mean that people will always be looking to give external bodies, companies, or the general public ways the use valuable data without compromising security
In Australia, state and federal governments have declared their support for open data.
evaluating data-driven solutions
Evaluating while exploring data-driven problems and solutions
Evaluation is critical throughout exploration and investigation
It enables us to gather ideas and information which may be helpful to make judgements and improve the program
It is important to 'mind map' during this phase to effectively articulate ideas and concepts or possibly issues
evaluating while developing solutions
During develop phases, evaluation takes place when we are presented with different options and outcomes
Visualises different approaches and also involves structured data from a data-driven database
Evaluating while generating solutions
During this phase, solution components are created are assembled
This may involve written code segments for achieving an outcome
Also comparing generated user experience with criteria and developmental planning to ascertain its ability to solve a problem
Evaluating solutions
When evaluating we refer back to our well defined criteria
The aim is to determine whether key objectives have been met
This type of tool helps us explore the ramification of meeting or not meeting the requirements of the criteria