Saif Alqemzi Case1: Data Visualization 1.
Identify the effects poor information mighthave on a data visualization project.As mentioned in the case, datavisualization is a way to make sense of the ever-increasing stream ofinformation with which we are bombarded and provides a creative antidote to theanalysis paralysis that can result from the burden of processing such a largevolume of information. So, we are taking information and trying to make a trendor a pattern out of it so if the information provided is poor then the resultingpattern would not give accurate result so poor information might createinaccurate data visualization. 2. Howdoes data visualization use database technologies?Database technologies areways the information is stored in form of raw data. Data which is sorted buthave no use currently as there is no concept to test it for. This is where datavisualization comes in to picture, they take this raw data or information andpresent them in such a fashion that they could turn into trends or patternswhich could be used to make business decisions 3. How could a business use data visualizationto identify new trends?Companies can also use datavisualization to gain new insight into consumer behavior by observing andunderstanding what people do with the data, what they find useful and what didthey dismiss as worthless.
executives can make the valuable distinction betweenwhat consumers say versus what they do. Even now this can be a tricky call tomake from behind the two-way mirror of a traditional qualitative researchsetting. So if businesses use these techniques to understand the customer thenthey could identify new trends. 4.
What is the correlation between data mining anddata visualization?Data mining is a practice ofexamining large databases in order to generate new information while data visualizationis a practice of evaluating large database information in order to generate newtrends and patterns. But both of these concepts don’t used every piece of data,rather they choose data relevant to the testing and come up with more accurateresults. 5. Is data visualization a form of businessintelligence? Why or why not?Yes, data visualization is aform of business intelligence as it takes the data at its raw form and presentsit in such a fashion that a story could be derived from it. When an informationis presented in form of a story rather than columns of numbers, it would be perceivedas more understandable and the intention it receives would be greater then justnumbered columns.
6. What security issues are associated with datavisualization?There would be many securityissues associated with data visualization as with as other digital environmentbut the most obvious are viruses, misuse or excessive use of unwantedinformation, omission of relevant information, stealing of information and lastbut not the least hacking. 7. What might happen to a data visualizationproject if it failed to cleanse or scrub its data?Data scrubbing, also calleddata cleansing, is the process of amending or removing data in a database thatis incorrect, incomplete, improperly formatted, or duplicated. An organizationin a data-intensive field like banking, insurance, retailing,telecommunications, or transportation might use a data scrubbing tool tosystematically examine data for flaws by using rules, algorithms, and look-uptables. So if a data visualization project if it failed to cleanse or scrub itsdata then the results based on such data would be inaccurate and the businessmight be guided in a wrong direction.