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Business analytics is an emerging area in modern business decision-making, gaining interest and popularity. This book discusses the models based on fact-based data to measure past business performance in order to guide organizations in visualizing and predicting future business performance and outcomes. Bringing terms, tools, and methods of analytics together, a comprehensive overview of analytics is given with an emphasis on predictive analytics. The book provides an introduction to and types of business analytics, the importance of analytics, and business intelligence. It also discusses the most widely used predictive models, including regression analysis, forecasting, data mining, and an introduction to recent applications of predictive analytics - machine learning, neural networks, and artificial intelligence. The current state, job outlook, and certifications in analytics are also examined. This chapter offers an overview of the text as a whole, describing business analytics and how it relates to business intelligence and statistical analysis. Data analytics, its applications, and business analytics models are all reviewed as are artificial intelligence, machine learning, and deep learning. Business analytics can be divided into descriptive analytics, predictive analytics, prescriptive analytics, and advanced analytics models. This book focuses on predictive analytics, the techniques of which use mostly statistical models and algorithms to predict future business trends. The ultimate goal of business analytics is to improve business performance by making data-driven decisions through helping businesses increase revenues and profitability, improve operational efficiency, optimize marketing campaigns and respond quickly changing market trends, improve customer service efforts, address the needs and requirements of customers, gain a competitive edge over the competition, and increase market share.

In 2019, the general manager of the Xiamen branch of Eastern Lotus Bank was facing difficulties overcoming customer-introduced variability, which significantly influenced the efficiency of the bank’s front-office service. She needed to analyze and summarize the different types of customer-introduced variability. Then she had to identify potential strategies that would enable the bank to accommodate this customer-introduced variability while maintaining a high-quality customer service experience. She also needed to decide how to allocate and arrange the limited human resources at the bank efficiently and effectively. To make these decisions, she had to systematically evaluate the efficiency and effectiveness of the front office under both pooled- and separated-resource allocation scenarios. For instance, how long did customers have to wait for services in each different resource allocation scenario? Moreover, how well were the limited human resources (staff) utilized under each scenario?

Instructor Spreadsheet to accompany product 8B19D015.

Spreadsheet to accompany product 9B19D015.

For more than two decades, scientific advances have been driving profound changes in drug discovery and the drug industry itself. This case provides an overview and description of these technical and scientific advances. Written for the nonscientific reader, it may be used as companion reading for other case materials that require basic knowledge of the tools, techniques, and approaches used in the pharmaceutical and biotechnology industries.

Founded in 2016, DeepMap developed high definition (HD) mapping software and localization services for Level 4+ autonomous vehicles. Traditional navigational maps were accurate to a few meters, which was sufficient for drivers, but not for machine-driven vehicles which required centimeter level accuracy. Autonomous vehicles required a new form of map that was highly precise, produced a 3D representation of the surrounding area, enabled vehicles to locate themselves within the map, provided information for how to navigate safely using the correct rules of the road, and was updated continuously as road conditions changed. DeepMap was not selling a static mapping database, but rather licensing its software under a software-as-a-service model. As a startup with limited resources navigating a nascent market, DeepMap faced uncertainty across several dimensions: the timing of overall AV market adoption, which countries would adopt fastest, which AV segments would move most rapidly, which sensor technologies would become standard, and what impact regulation would have. They also faced the challenge of serving customers on a global scale. As DeepMap looked ahead, it had to decide how and where to focus and allocate its funding in order to achieve its short and long-term objectives.

It's never been easier for workers to collaborate--or so it seems. Open offices, messaging, and virtual-meeting software in theory make people more visible and available. But as the physical and technological structures for omnichannel collaboration have spread, evidence suggests they are producing less interaction--or less meaningful interaction--not more. This happens because individuals, not companies, decide when and how to engage with others. They become adept at shutting people out and reading signs that their coworkers wish to be left alone. Many companies don't understand how to achieve the kinds of collaboration they want. The authors provide guidance on reaching such an understanding. Companies can use new technologies, such as sensors that track people's movements and software that collects their digital "bread crumbs," to learn how members of particular groups are actually interacting. They can then experiment to learn how to achieve the types of exchanges they want: trying various office configurations, testing a pilot floor plan before overhauling the entire space, and exploring the impact of small tweaks. This approach will help them equip employees with the spaces and technologies that best support their needs.

In 2015, Dietmar Hopp, owner of Germany's Bundesliga football team TSG Hoffenheim and co-founder of the global enterprise software company SAP, was considering how to ensure long-term sustainability and competitiveness for TSG Hoffenheim. While historically a small team from bottom rungs of the league, TSG Hoffenheim, with revenues of €60 million to €70 million, reached the top division of the Bundesliga in the 2008-2009 season thanks to a deliberate strategy focused on enhanced scouting, strong youth programs, and innovative technology and analytics that improved player development. In 2014 Hopp, who had personally invested €300 million in the club, built a "footbonaut," an automated training environment that collected data on players' skills and strengths. The tool, one of three in the world, helped scouts and coaches better assess and develop each player. Yet some managers felt the technology was a distraction, an investment too expensive for a team that was not yet cash-flow positive. The team finished the 2014-2015 season in eighth place, below the top division, and Hopp wondered whether the focus on technology and analytics was the right strategy to grow the club. He wondered if the "moneyball" approach-when a smaller team competed with wealthier teams by using statistical analysis to buy undervalued assets and sell overvalued assets-could work in football and if investments in technology could lead the team to financial independence.

Student spreadsheet to case UV6041

This note focuses on the development of the drone industry in recent years and provides insights on the drone technology, regulations, applications, market size, top players, and ecosystem. This note was written in conjunction with the case study "Parrot: Navigating the Nascent Drone Industry" (HBS No. 619-085).

The case opens in 2019 as Aytul Ercil, co-founder and CEO of Vispera, computer vision technology provider for retail, is contemplating the company's agenda trying to decide how to prioritize the impeding options. The case chronicles the founding of Vispera, the iterations of its technology and its business model, and lays the ground for the competitive outlook. The case provides a detailed overview of how Vispera's technology and its automated visual analysis help retail and fast-moving consumer goods companies around the world to minimize stock-outs, increase sales, reduce personnel costs, and improve operational efficiency. In 2016, the debut of Amazon Go urges the retail players to up their game vis-à-vis technology. Demand for automation and computer vision in the retail surges. In a land-grab market, Vispera strives to grow globally, differentiate itself, keep its technology cutting edge, and raise capital. In 2019, taking a step back from all of the daily to-dos, Ercil needs to consider the big picture for making Vispera a leading global player. She needs to consider the following: Should the team focus on developing shelf availability and out-of-stock prediction capabilities or focus on dynamic pricing, customization, and real-time campaign management? Should Vispera pivot to provide insights beyond the shelf as was already being done by players entering the space? How should the team think about data ownership: Could Vispera leverage the data to drive cross industry insights or market level perspective?

Founded in 2015 by serial entrepreneur, Colin Huang, Pinduoduo Inc. (PDD) had become China's fastest-growing e-commerce platform in history. PDD pioneered a new approach to online shopping that allowed shoppers to share products, invite friends to form shopping teams, and purchase together at discounted prices. The company's rapid development helped it debut on the Nasdaq in July 2018, only three years after its inception. The fast growth was partly boosted by PDD's heavy investment in marketing and branding, such as through coupons and promotions. How should the company make its competitive advantages more sustainable? Could its business model be replicated outside China?

In September 2014, the national logistics manager at Lajpal Tea Pvt. Limited (Lajpal Tea), a leading tea brand in Pakistan, received notice that one of his key logistics service providers would soon terminate his service contract for transportation services. This contractor had been associated with Lajpal Tea since the company originated; however, due to payment delays and non-responsive behaviour from the logistics team, he decided to terminate his services and provided three months’ notice as per the terms and conditions of his contract. The transport company’s business was strong: the owner had many local contacts, geopolitical influence, and a good understanding of the local market. However, his trucks were old fashioned and were not equipped with the latest technology, such as global positioning system tracking. Lajpal Tea, a leading organization with plans for expansion, had to decide what to do now. Should the logistics manager negotiate with the existing contractor or find an alternate transporter from among the other available options?

In September 2014, the national logistics manager at Lajpal Tea Pvt. Limited (Lajpal Tea), a leading tea brand in Pakistan, received notice that one of his key logistics service providers would soon terminate his service contract for transportation services. This contractor had been associated with Lajpal Tea since the company originated; however, due to payment delays and non-responsive behaviour from the logistics team, he decided to terminate his services and provided three months' notice as per the terms and conditions of his contract. The transport company's business was strong: the owner had many local contacts, geopolitical influence, and a good understanding of the local market. However, his trucks were old fashioned and were not equipped with the latest technology, such as global positioning system tracking. Lajpal Tea, a leading organization with plans for expansion, had to decide what to do now. Should the logistics manager negotiate with the existing contractor or find an alternate transporter from among the other available options?

This case focuses on Nimbus Therapeutics, a biotechnology startup based in Cambridge, Massachusetts, as its leadership team tries to determine the company's long-term strategy. The startup's founders structured Nimbus as a limited liability company, which has given it more flexibility when it comes to funding and development partnerships. Does the operating structure still makes sense as Nimbus looks ahead to the future?

In its 2019 Partner Symposium, 2U, an online program management provider (OPM), showcased its new vision: "Career. Curriculum. Continuum. A construct for lifelong learning in the 21st century". 2U, founded in 2008, and went public in 2014, was looking to expand beyond their current degree offerings to include a wider range of programs, such as short courses, bootcamps, and professional certificates. Led by co-founder and CEO Chip Paucek, 2U believed that they were the strongest partner in the OPM market that could enable universities' digital transformation, allowing them to offer a variety of courses to a changing student profile. The universities, on the other hand, recognized that times were changing and that the appeal of a residential experience might be dwindling. Pressures of offering a more flexible learning format were mounting. Some schools were engaging in partnerships such as with 2U to get themselves online while others saw digital and online as the next evolution of instruction and that it was their responsibility to learn how to master it and own it. The case considers Paucek's challenge of leading a for-profit OPM. Was 2U growing in a way that risked alienating their most important stakeholders, the brand named universities themselves? Were the university leaders going to change their approach and start investing in the digital transformation themselves to avoid giving 2U a cut of their revenues?

Vaccines for children has been a long-standing focus for the Bill & Melinda Gates Foundation, and their critical role in public health made their production an important economic and political issue. This case describes the Foundation's investment in a breakthrough vaccine manufacturing platform for the Sabin inactivated polio virus. While the new technology promised a much lower cost per dose, it also raised questions about the consequences of lowering entry barriers to vaccine production, as maintaining high quality and production standards, a strong regulatory environment were critical to protecting the integrity of the vaccine supply. The new technology also threatened to encourage more developed country vaccine manufacturers to exit the market, not an outcome the Foundation was hoping for, as they possessed the capabilities and resources to invest in future developments. It raises the question of whether vaccines are a public good, and who should be responsible for their production.