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Vol 1, Issue 02, May 2019
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The case discusses the importance and challenges of forecasting at Uber. The company used its own Time Series data for forecasting. Time Series is a dataset containing values over a period of time. The time period could be seconds, minutes, hours, days, months, years, etc. Time Series data was analyzed using time series basics to forecast the demand for Uber cabs. Regression analysis was also used to forecast demand. The addition of different variables obtained from varied sources also lends credence to the analysis. The choice of variables for this analysis is important. Combining data from different sources to make the analysis actionable is a key insight.
Forecasting in the Platform Economy: The Uber Way
In 2017, The Greater Manchester Waste Development Authority (the Authority) took a sudden decision to break up its joint venture – VLGM – formed with the Viridor Waste Management and John Laing. The decision raised several question marks over the Authority’s ambitious vision and the tall goals it had laid down and aspired to achieve through the collaboration. The path toward waste reduction and prevention was replete with challenges including situational challenges, behavioral inhibitions, and information barriers. Rising costs and levies also played an adverse role in preventing the Authority from attaining its objectives. Amidst the challenges, the break-up of the VLGM joint venture was expected to affect the progress of the Authority. The Authority had the daunting task of creating a robust system that would ensure reduction of waste and complete avoidance of landfills by 2025.
The Greater Manchester Waste Development Authority – Challenges in Sustainable Waste Management
“Passenger Data Breach at British Airways” walks us through the largest data breach in the history of the aviation industry, one which compromised the financial and personal data of 380,000 passengers in 2018. The data breach was a result of a cyber-attack on the website and mobile application of British Airways (BA), for booking transactions done between August 21 and September 5, 2018. The case highlights the importance of the airline’s software and website being updated (last updated in 2012) at periodic intervals to save it from future hacks and the resultant data breach. It concludes with BA’s attempt to save its brand image (as it’s the largest international carrier of UK), and throws light on measures BA might adopt to tighten its IT governance given the stringent European law.
Passenger Data Breach at British Airways
Max Performance Excellence Framework (MPEF) was the fulcrum for the success of the Max Group at large and it helped them gain a competitive advantage. Riding on a surge in growth due to the liberalization policies of the Indian Government, the Max Group became one of the leading players in various businesses by the turn of the 21st century. Placing service excellence at the very core of its value proposition, the Max Group propelled itself into a customer-centric group through its focus on implementing the MPEF. The case examines how the Max Group found unique ways to engage and keep customers satisfied and loyal through service excellence. The case lists the key aspects of both the business excellence framework and Max Quality System. It also analyses the future challenges that the Group would have to meet while seeking to address the question of how the company would maintain its growth in an emerging market like India in the long term.
Business Excellence Framework as a Competitive Advantage: The Case of Max Group
In 2018, despite knowing about the growing demand requirements for its mid-range apparel products in the North American market, the management of Adidas failed to source the required products from its suppliers spread across the Asian region on time. Adidas outsourced its manufacturing requirements across the globe to different partners. The present case provides an insight into the concept of responsive supply chains, their needs and their features. It also illustrates how Adidas’ production processes were unable to meet demand and the initiatives taken by the company to ensure products reached the customers on time.
Supply Chain Issues at Adidas

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