Topic Need Data Mining Overview Last Decade Advances Processing Power Speed Enabled Us Mov Q43832262
Topic: The Need for Data Mining Overview: Over the last decade,advances in processing power and speed have enabled us to movebeyond manual, tedious, and time consuming data mining practices toquick, easy, and automated collection for data analysis. The morecomplex the data sets, the more potential there is to uncoverrelevant insights. Retailers, banks, manufacturers,telecommunications providers, and insurers are using data mining todiscover relationships among everything from price optimization,promotions, and demographics to how the economy, risk, competition,and social media are affecting their business models, revenues,operations, and customer relationships. SELECT BANKING/FINANCEInclude the following critical elements in your essay: 1)Use Case:Present an industry use case discuss the need for data mining inthis particular industry. Describe how data mining can helporganizations within the selected industry to retrieve valuableinformation from the huge amount of data they collect. Explain howthey make the data usable for analytical purposes, for businessuse, or for strategic planning purposes as a result of data miningprocesses. II. Data Mining Challenges: Describe one challengeassociated with data mining practices and processes within thisindustry. How can organizations overcome this challenge to gain acompetitive advantage over their competitors? III. Data MiningTechniques: Describe one data mining technique that would be usefulfor collecting the data required to support the industry and fostereffective data analysis processes for decision-making (clustering,classification, pattern matching, association, regression,visualization, or meta rule-guided mining, for example). How willthis technique help organizations in this industry overcome thechallenge you mentioned?
Expert Answer
Answer to Topic: The Need for Data Mining Overview: Over the last decade, advances in processing power and speed have enabled us t…
OR