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business
business analytics data
Data Analytics For Business 1st Edition Fenio Annansingh, Joseph Bon Sesay - Solutions
List and explain at least three types of maintenance discussed in this chapter.
Explain what Predictive Maintenance is.
Quality management or control is critical in the manufacturing process; how do Big Data and data analytics add value to this process?
How do chemical manufacturing companies use Big Data in their pro- duction process?
How is Big Data used in production planning in the manufacturing industry?
What is manufacturing analytics?
What is your understanding of the manufacturing process?
What are the challenges of using Big Data in the healthcare industry?
What is Hadoop Big Data analytic tool, and how is it used in the medical industry?
List and explain five sources of healthcare data.
What is the patient journey? How is it beneficial to the financial success of the healthcare industry?
Please explain how data analytics is helping to improve the operational efficiency and profitability of healthcare providers.
In what ways are Big Data and data analytics tools enhancing personal- ised medicine?
How are data analytics and Big Data used in mental health care?
What is the value of data analytics in elder care?
How can you use data analytics to enhance public healthcare?
List and discuss three sectors in the healthcare industry.
What is the importance of Big Data and data analytics to public healthcare?
Explain the four P's in the healthcare industry.
Discuss how the tax department of a company is using data analytics for tax filing and compliance. Explain tax planning analytics.
Explain what is compliance analytics?
How has data analytics expanded the capabilities of auditors when they audit the financial statements of a company?
What is Sentiment and text mining analytics? How is it helping users of financial statements?
Explain how accounts payable analytics is improving the cash projection of a company.
Identify how data analytics is making the accounts payable department very efficient.
Explain how data analytics has made accounts receivable management efficient.
List and explain the five-step process of how a business recognises reve- nue that involves a contract with a customer. Explain how data analytics has made the process efficient.
How has data analytics changed the way revenue is recognised?
List and explain the four basic financial statement analytics.
What are some of the tools used to collect data from athletes' day-to-day sporting activities?
How has data analytics helps in the injury prevention of athletes?
What is the commercial value of fan engagement in sports?
How does live game fan engagement analytics enhance team sponsorship?
What do you understand by fan engagement analytics?
List and explain five soccer-playing styles.
List and explain six basketball analytics used to measure player performance.
List and explain two data analytics tools used in sports.
How is spatial analytics used in sports?
List and explain at least three use of data analytics in sport.
What is the value of data analytics in sport?
What is sports analytics?
Explain how data analytics is used to prevent and detect fraud.
How does data analytics aid in selecting an investment portfolio?
What is an investment portfolio?
What is a loan portfolio? What is the value of data analytics in loan port- folio management?
What are the three components of credit analytics? Please explain each of them.
How is data analytics helping banks manage their opening hours?
Explain how data analytics is used to prevent an armed bank robbery.
Explain how retail banks use FICO scores.
What is retail banking? Give examples of retail banking services.
What does the financial services industry provide to individuals and companies?
Explain how Big Data analytics is used in e-commerce retailing.
Discuss how the growth in e-commerce has led to an increase in Big Data in the retail industry.
Explain how Big Data analytics help companies with inventory control.
Selecting the right supplier is crucial for companies. Discuss in detail how data analytics can assist companies with this decision.
How does order picking analytics enhance the operation of a retail business?
What is order picking analytics?
What is the benefit of location analytics in the retail industry?
What kind of data is required to building an accurate and flexible loca- tion analytics model?
What is store location analytics?
Customer analytics require different types of data to make predicting customer behaviour more accurate. Name five types of those data.
Explain at least three benefits of customer analytics in the retail industry.
Explain what is customer analytics.
What is the value of Big Data and data analytics in the retail industry?
Discuss the techniques used to detect cyber-attacks.
Explain how companies are using Big Data analytics to secure networks against cyber-attacks.
How are companies using big data analytics to manage the risks of cyber-attacks?
Describe a Spam that you are aware of and explain how and why these unsolicited emails are considered dangerous.
Identify the different types of Trojans and discuss why they are problem- atic to businesses.
Explain in detail why malware is increasing in companies.
Identify some of the software defects and discuss how these vulnerabili- ties can lead to cyber incidents.
Discuss how cybersecurity analytics is used to protect companies from malicious attacks.
Give two examples of early adopters of AI and explain how they used AI.
What is Al, and how is it helpful in cybersecurity?
How does machine learning enhance cybersecurity?
What is cybersecurity analytics?
What is cybersecurity?
What are the three primary cloud computing platforms? Please give a brief description of each of them.
How does CRM software help in customer retention?
Explain how businesses can use Customer Relation Analytics to their advantage?
Discuss how CRM analytics is used by businesses to measure operations.
How can cognitive computing help companies predict customer behav- iour and enhance their experience?
Describe the growth in the popularity of Blockchain technology. What are some of the reasons for its popularity amongst businesses?
Describe how cloud computing is used to improve IT operations.
Describe how IaaS helps an organisation achieve a competitive advan- tage. Also, discuss how it can be used to achieve strategic objectives.
Explain why businesses need CRM systems. Which types of companies would most benefit from their implementations?
What is a CRM? Explain to a manager the benefits and potential pitfalls of using CRM analytics.
What is the value of a data warehouse to a business?
List and explain the components of a data warehouse.
What is a data warehouse?
What are the components of business intelligence?
What is business intelligence? Give two examples of its uses in business.
What are the advantages of business analytics?
List and explain why business analytics is used in most businesses.
What is the difference between descriptive, predictive, and prescriptive analytics?
Describe how companies use real-time business intelligence to provide insights into business transactions.
Identify the areas/industries where Business Analytics is used. Then, ex- plain in detail how marketers employ it.
Discuss the driving forces of embedded analytics.
Discuss how embedded analytics is used to broaden business reach and support managerial decision-making.
Data analytics is critical to the success of self-service analytics. So how can companies overcome the challenges of siloed data to create seam- less data communication and empower employees using self-service analytics?
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