2. Big businesses aren't the only ones who can make data-driven decisions using big data analytics these days. Small businesses too. Provide a success story of a firm with in the application of the big data and analytics. can reap the benefits,
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- Sunny Delight's small size startled you when it bought so many analytics tools. How has Sunny Delight's ownership history affected the amount and kind of business intelligence (BI) products used?- What are the trade-offs of migrating to an enterprise-level analytics solution for end users who are used to using their own customized data-generation solutions?Sunny Delight's small size startled you when it bought so many analytics tools. How has Sunny Delight's ownership history affected the amount and kind of business intelligence (BI) products used? - What are the trade-offs of migrating to an enterprise-level analytics solution for end users who are used to using their own bespoke data-generation solutions?Define big data and discuss the three V's (Volume, Velocity, Variety) associated with it. How do these factors impact data analytics?
- You were shocked to see that Sunny Delight is a pretty small company given the number of unique analytics tools it has acquired. What potential effects may the many ownership changes at Sunny Delight have had on the kind and amount of business intelligence (BI) solutions used?- What are some of the trade-offs involved with a switch to an enterprise-level analytics solution for individual end users who are used to dealing with their own customized solutions for producing data?Please take into account: Do you think that modern marketing tools like Big Data and Predictive Analytics would have been effective ten to fifteen years ago? And why is it the case?- Do you find it strange that a tiny business like Sunny Delight could wind up with so many distinct analytics tools? How has the fact that Sunny Delight has changed ownership many times influenced the quantity and diversity of BI tools used? - What are some of the trade-offs of moving to an enterprise-level analytics solution for individual end users who may have become used to dealing with their own specialized data-generation solutions?
- Analyze the ethical and legal considerations in Big Data analytics, particularly regarding data privacy, bias, and compliance with regulations like GDPR and HIPAA.What is educational data mining? What is the difference between learning analytics, academic analytics and educational data mining?Discuss some of the trade-offs and challenges of a move to an enterprise level analytics solution for companies and their individual end users who might have grown accustomed to working with their own customized solutions for generating data.