Problem
1) Data Integration: Poor quality data is inaccurate data. It can take several forms such as missing contact fields, outdated information, data entered in the wrong field, duplicate entries, misspellings, typos, and spelling variations, etc.
a) Much is said about data quality in data analytics. From what you know now and your own personal experience, what might be some of the causes of poor data quality?
2) Segmenting Customers: Customer segmentation is the process of dividing customers into groups based on common characteristics so companies can market to each group effectively and appropriately.
a) What may be the benefit to the organization for segmentation of customers. Can you suggest potential drawbacks from the customer perspective of customer segmentation?
3) Big Data Technologies: Big Data Challenges include the best way of handling the numerous amount of data that involves the process of storing, analyzing the huge set of information on various data stores. There are various major challenges that come into the way while dealing with it which need to be taken care of with Agility.
a) Think of the challenges of implementing big data for most organizations. Can you think of specific applications of big data analysis and what is the value proposition for implementation?
4) Ethical Concerns: A digital footprint refers to the trail of data you leave when using the internet and can be used to track a person's online activities and devices.
a) Who do you think owns your data footprint? Please provide 2 arguments that support your opinion.