solution

Bob entered into a
rental agreement with Easy Rentals for a one month lease of a motorcycle by misrepresenting
his age as being 20 when, in reality, he was only 17 years of age. The
agreement required Bob to assume responsibility for any damage to the machine
while it was in his possession. Bob rented the motorcycle to spend the month
biking with his friends.

A week after Bob
acquired the machine he lost control of the motorcycle on a sharp turn in the
road, and the machine was badly damaged in the ensuing accident.

Bob refused to pay for
the rental and damage on the basis that he had not attained the age of
majority, and was not liable in contract.

i.
Discuss the
law concerning contracts with minors, the rights of Easy Rentals and comment on
the likelihood of success if it should take legal proceedings against Bob.
Would it make any difference if Bob had rented the motorcycle for
transportation to work in order to support himself?

ii. What is a legal risk
management plan and how is it developed? How could Easy Rentals have managed
the risk?

 
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“When the Kraft Foods Group and Heinz finalized their merger in July 2015 it was the marriage of two giants. The new Kraft Heinz Company became the fifth-largest consumer-packaged food and beverage organization in the world, with more than 200 global brands, $27.4 billion in revenue, and over 40,000 employees. Eight of the brands each have annual revenue exceeding $1 billion: Heinz, Maxwell House, Kraft, Lunchables, Planters, Velveeta, Philadelphia, and Oscar Mayer. Running these companies required huge amounts of data from all of these brands. This is clearly the world of big data. To remain profitable, enterprises in the fast-moving consumer goods industry require very lean operations. The uncertain global economy has dampened consumer spending, so companies such as Kraft Heinz must constantly identify opportunities for improving operational efficiencies to protect their profit margins. Kraft Heinz decided to deal with this challenge by focusing on optimizing its supply chain—manufacturing optimal quantities of each of its products and delivering them to retailers at the best time and least cost to capitalize on consumer demand. Managing a supply chain as large as that of Kraft Heinz requires timely and accurate data on sales forecasts, manufacturing plans, and logistics, often from multiple sources. To ensure that Kraft Heinz would be able to use all of its enterprise business data effectively, management decided to split the data among two large SAP enterprise resource planning (ERP) systems, one for North America business and the other for all other global business. The combined company also had to rethink its data warehouse. Before the merger, the North America business had maintained nearly 18 terabytes of data in a SAP Business Warehouse and was using SAP Business Warehouse Accelerator to facilitate operational reporting. SAP Business Warehouse is SAP’s data warehouse software for consolidating organizational data and supporting data analytics and reporting. The SAP Business Warehouse (BW) Accelerator is used to speed up database queries. Kraft Heinz management wanted decision makers to obtain more fine-grained views of the data that would reveal new opportunities for improving efficiency, self-service reporting, and real-time analytics. SAP BW Accelerator was not suitable for these tasks. It could optimize query runtime (the period of time when a query program is running) only for a specific subset of data in the warehouse and was limited to reporting on selected views of the data. It could not deal with data load and calculation performance and required replication of Business Warehouse data in a separate accelerator. With mushrooming data on the merged company’s sales, logistics, and manufacturing, the warehouse was too overtaxed to generate timely reports for decision makers. Moreover, Kraft Heinz’s complex data model made building new reports very timeconsuming—as long as six months to complete. Kraft Heinz needed a solution that would deliver more detailed reports more quickly without affecting the performance of underlying operational systems. Kraft Heinz business users had been building some of their own reports using SAP Business Objects Analysis edition for Microsoft Office, which integrates with Microsoft Excel and PowerPoint. This tool allows ad hoc multidimensional analysis of online analytical processing (OLAP). What these users needed was to be able to build self-service reports from a single source of data and find an efficient way to collate data from multiple sources to obtain an enterprise-wide view of what was going on. Kraft Heinz decided to migrate its data warehouse from its legacy database to SAP BW powered by SAP HANA, SAP’s in-memory database platform, which dramatically improves the efficiency at which data can be loaded and processed, calculations can be computed, and queries and reports can be run. The new data warehouse would be able to integrate with existing SAP ERP applications driving day-to-day business operations. The company worked with IBM Global Services consultants to cleanse and streamline its existing databases. It archived and purged unwanted or unused data, with the IT department working closely with business professionals to jointly determine what was essential, what was still being used, and what data thought to be unused had been moved to a different functional area of the company. Cleansing and streamlining data reduced the database size almost 50 percent, to 9 TB. According to Sundar Dittakavi, Kraft Heinz Group Leader of Global Business Intelligence, in addition to providing better insights, the new data warehouse environment has achieved a 98 percent improvement in the production of standard reports. This is due to the 83 percent reduction in load time to execution time to make the data available and reduction in execution time to complete the analysis. Global key performance indicators for the Kraft side of the business are built into SAP HANA. Kraft Heinz can now accommodate exploding volumes of data and database queries easily while maintaining enough processing power to handle unexpected issues. The company is also able to build new reports much faster, and the flexibility of SAP HANA makes it much easier to change the company’s data model. Now Kraft Heinz can produce new reports for business users in weeks instead of months and give decision makers the insights they need to boost efficiency and lower operating costs.”

Questions :

• Identify the problem in this case study. To what extent was it a technology problem? Were any management and organizational factors involved?

• How was information technology affecting business performance at Kraft Heinz?

• How did new technology provide a solution to the problem? How effective was the solution?

• Identify the management, organizational, and technology factors that had to be addressed in selecting and implementing Kraft-Heinz’s new data warehouse solution.

 
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Topic: Case Study-1 (Apple)

When Barack Obama joined Silicon Valley’s top luminaries for dinner in California last February, each guest was asked to come with a question for the president, but as Steven P. Jobs of Apple spoke, President Obama interrupted with an inquiry of his own: what would it take to make iPhones in the United States? Not long ago, Apple boasted that its products were made in America. Today, few are. Almost all of the 70 million iPhones, 30 million iPads and 59 million other products Apple sold last year were manufactured overseas. Why can’t that work come home? Mr. Obama asked. Mr. Jobs’s reply was unambiguous. “Those jobs aren’t coming back,” he said, according to another dinner guest. In its early days, Apple usually didn’t look beyond its own backyard for manufacturing solutions. A few years after Apple began building the Macintosh in 1983, for instance, Mr. Jobs bragged that it was “a machine that is made in America.” In 1990, while Mr. Jobs was running NeXT, which was eventually bought by Apple, the executive told a reporter that “I’m as proud of the factory as I am of the computer.” As late as 2002, top Apple executives occasionally drove two hours northeast of their headquarters to visit the company’s iMac plant in Elk Grove, Calif. But by 2004, Apple had largely turned to foreign manufacturing. Still some parts of the iPhone are uniquely American. The device’s software, for instance, and its innovative marketing campaigns were largely created in the United States. Apple recently built a $500 million data center in North Carolina. Crucial semiconductors inside the iPhone 4 and 4S are manufactured in an Austin, Tex., factory by Samsung, of South Korea. However, these facilities are not enormous sources of jobs. Apple’s North Carolina center, for instance, has only 100 full-time employees. The Samsung plant has an estimated 2,400 workers. Hence, the president’s question touched upon a central conviction at Apple. It isn’t just that workers are cheaper abroad. Rather, Apple’s executives believe the vast scale of overseas factories as well as the flexibility, diligence and industrial skills of foreign workers have so outpaced their American counterparts that “Made in the U.S.A.” is no longer a viable option for most Apple products. Apple executives say that going overseas, at this point, is their only option. One former executive described how the company relied upon a Chinese factory to revamp iPhone manufacturing just weeks before the device was due on shelves. Apple had redesigned the iPhone’s screen at the last minute, forcing an assembly line overhaul. New screens began arriving at the plant near midnight. A foreman immediately roused 8,000 workers inside the company’s dormitories, according to the executive. Each employee was given a biscuit and a cup of tea, guided to a workstation and within half an hour started a 12-hour shift fitting glass screens into beveled frames. Within 96 hours, the plant was producing over 10,000 iPhones a day. “The speed and flexibility is breathtaking,” the executive said. “There’s no American plant that can match that.” ‘I Want a Glass Screen’ In 2007, a little over a month before the iPhone was scheduled to appear in stores, Mr. Jobs beckoned a handful of lieutenants into an office. For weeks, he had been carrying a prototype of the device in his pocket. Mr. Jobs angrily held up his iPhone, angling it so everyone could see the dozens of tiny scratches marring its plastic screen, according to someone who attended the meeting. He then pulled his keys from his jeans. People will carry this phone in their pocket, he said. People also carry their keys in their pocket. “I won’t sell a product that gets scratched,” he said tensely. The only solution was using unscratchable glass instead. “I want a glass screen, and I want it perfect in six weeks.” For years, cellphone makers had avoided using glass because it required precision in cutting and grinding that was extremely difficult to achieve. Apple had already selected an American company, Corning Inc., to manufacture large panes of strengthened glass. But figuring out how to cut those panes into millions of iPhone screens required finding an empty cutting plant, hundreds of pieces of glass to use in experiments and an army of midlevel engineers. It would cost a fortune simply to prepare. Then a bid for the work arrived from a Chinese factory.When an Apple team visited, the Chinese plant’s owners were already constructing a new wing. “This is in case you give us the contract,” the manager said, according to a former Apple executive. The Chinese government had agreed to underwrite costs for numerous industries, and those subsidies had trickled down to the glass-cutting factory. It had a warehouse filled with glass samples available to Apple, free of charge. The owners made engineers available at almost no cost. They had built on-site dormitories so employees would be available 24 hours a day. The Chinese plant got the job. “The entire supply chain is in China now,” said another former high-ranking Apple executive. “You need a thousand rubber gaskets? That’s the factory next door. You need a million screws? That factory is a block away. You need that screw made a little bit different? It will take three hours.” Another critical advantage for Apple was that China provided engineers at a scale the United States could not match. Apple’s executives had estimated that about 8,700 industrial engineers were needed to oversee and guide the 200,000 assembly-line workers eventually involved in manufacturing iPhones. The company’s analysts had forecast it would take as long as nine months to find that many qualified engineers in the United States.” In China, it took 15 days. All this being said, there are drawbacks to outsourcing to China. Several Apple subcontractors have been targeted for their poor working condition. Some former apple executives say that there is an unresolved tension within the company. But at the end before Mr. Obama and Mr. Jobs said goodbye, the Apple executive pulled an iPhone from his pocket to show off a new application — a driving game — with incredibly detailed graphics. The device reflected the soft glow of the room’s lights. The other executives, whose combined worth exceeded $69 billion, jostled for position to glance over his shoulder. The game, everyone agreed, was wonderful. There wasn’t even a tiny scratch on the screen.

Questions: What are the benefits to apple of outsourcing the assembly of the iPhone to foreign countries, and particularly china? Explain with example

 
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Many corporations are improving the capa­bilities of traditional Business Intelligence (BI) systems to permit superior moni­toring, measurement, and management of business perfor­mance.

Internet-based systems generate huge amounts of data, which allow us to better understand how people interact on markets or in social media. Many new types of information systems draw on the availability of data about user behavior or sensor data about the environment. Such information systems adapt to the users and provide better ways to coordinate. Let’s pick a few examples to make the point. Recommender systems are probably among the most well-known types of analytics-based information systems. They collect data about user preferences to then provide tailor-made recommendations for books, movies, or other products. By now, there is a large body of literature about mathematical methods such as matrix factorization or collaborative filtering, which allow for effective recommendations. At the same time, there is a growing behavioral literature analyzing the impact of these systems on human decision making. Thus, the topic addresses both, design and user behavior, a combination that was always at the core of information systems research.

Interactive marketing is another field which heavily draws on analytics. Real-time bidding (RTB) is a means by which display advertising is bought and sold on a per-impression basis via auction. With real-time bidding, advertising buyers bid on an impression and, if the bid is won, the buyer’s ad is instantly displayed on the publisher’s site. This is the fastest growing segment in the digital advertising market and it combines predictive models to better estimate the preferences and tastes of users and the bidding in a highly automated fashion. The topic addresses a wealth of problems ranging from distributed systems to auction theory, machine learning, and, last but not least, data privacy! Also, the Internet-of-Things has led to many new applications which require data analysis, distributed systems, and optimization to go hand in hand in ever growing applications. We have all seen case studies on smart mobility solutions, intelligent ports and transportation systems, or smart home solutions where sensors communicate and coordinate with humans in real-time, often with a substantial increase in economic efficiency. Consider for example condition-based maintenance making use of the analysis of sensors data: maintenance is performed when analytical techniques suggest that the system is going to fail or that performance is deteriorating.

  • Present main idea(s) and best practices, on how to improve the capa­bilities of traditional Business Intelligence (BI) systems to permit superior moni­toring, measurement, and management of business perfor­mance.
  • What is a reflection or critique of the themes presented in improving traditional business intelligence?
  • What are ways to apply BI/Data science and Data analytics when asked by your employer to present a data analytics solution, how will you present the case?

 
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