Question: 2 The attached pdf file introduces a real-world business problem as it presents the case of AUDI AG and its attempts to implement big data

2 The attached pdf file introduces a real-world
2 The attached pdf file introduces a real-world
2 The attached pdf file introduces a real-world
2 The attached pdf file introduces a real-world
2 The attached pdf file introduces a real-world
2 The attached pdf file introduces a real-world
2 The attached pdf file introduces a real-world
2 The attached pdf file introduces a real-world business problem as it presents the case of AUDI AG and its attempts to implement big data analytics in its organization. For your first individual case analysis, you need to critically analyze this case study, summarize the key idea, discuss the IT challenges and present your recommendations. This analysis should be done individually not in groups, so each student should do the analysis by themselves. This report will be organized as follows: 1. Introduction - Short summary of the business problem. This section will also include a background of the organization. Challenges - Provide for a brief description of the challenges that the organization is facing and how they are planning to address them. This section will provide the audience with a picture of how the organization is planning to address some of the challenges. Change Management - Discuss how change is being managed by the organization Recommendations - Discuss what you would have done differently and why Conclusions - Discuss the lessons learned and the key messages that you would like the audience to take away The report should not be more than 1000 words. The due date for this analysis is Sunday November 14 @ 11:00 PM Best wishes Dr. Shimaa ElSherif 3 4 5. 212 words Big data analytics the case of AUDI AG.pdf Understanding the value and organizational implications of big data analytics: the case of AUDI AG Christian Dremel' - Jochen Wulf. Annegret Maier?- Walter Brenner! Published online: 13 April 2018 Association for Information Technology Trost 2018 Abstract "Understanding the value and organizational Organizational benefits Predictive analytics. Descriptive implications of big data analytics: the case of AUDI AG" analytics - Analytics services - Teaching case presents the case of AUDI AG and its attempts to implement big data analytics in its organization. The case highlights the situation of an original equipment manu- Introduction facturer (OEM) in the automotive industry and the potentials and challenges the emerging technology big On a rainy day in autumn 2014 Hortensie woke up with data analytics may entail for such organizations. The case only one thought on her mind. Today, was her big day. tries to help students to grasp the technical characteris She had to present the use cases and value potential of big tics, the value, and organizational implications of big data analytics in front of the chief of sales and marketing data analytics as well as the distinct types of analytics (CMO), which she had elaborated with her team over the services. The case is presented through the eyes of last work intensive months. Nicolas Moreau-the new Hortensie, an aspiring manager at AUDI, who gained CMO at AUDI-Bot only was known for his positive strong interest in the phenomenon of big data analytics attitude toward innovativeness but also for his ability to and received the task to position it within AUDI TO find any weakness of potential ideas. He was one of the ramp up the topic big data analytics, AUDI is engaging person she did not want to disappoint. with industry and design experts as well as an extemal She remembered how everything had started: Soon after consultancy IT Consult. she had become manager at AUDI's sales and marketing department, Nicolas joined the company, Coming from one Keywords Big data analytics. Organizational adoption of the haute coles of Paris, he had gained experiences as Organizational change Organizational transformation CMO at Renault and at PSA Peugeot Citroen. He had the mission to put AUDI ahead in regard to profit, earnings. and, first and foremost, innovativeness. When one of the first tasks of Nicolas was the elaboration of the value and the organizational implications of the emerging technology Christian Dremel big data analytics for AUDI's sales and marketing christian dremelning.ch department, Hortensie had willingly accepted the position Jochen Wall as lead of the task force jochen wollenisg.ch Walter Brenner walter brenner nisg.ch This illustrative case is developed on the basis of a longitudinal dy with AUDI AG (see Dremel et al. 2017). However, due to Institute of Information Management, University of St. of confidentiality, descriptions of the organization's inner Gallen, Mueller Friedberg-Strike 9000 SL Gallen processes, organizational hierarchies, names and roles are anon mind Any views and statements expressed within this teaching Switzerland case do not necessarily reflect the views or policies of any individual Audi AG, 85045 Ingolstadt, Germany of the organization represented by this case 1 In the Carwege date antes The sub CO There ho The Mwah AM hi Printi Ant Design tie Seni Vi Report Serie D w of his you ALL be WOOD I ALIEN OM By AUX Michal Det w You May they Solo Serye AUDI and in canon well as dhe eve of wal ALDE... Du Nicotech department A CMOS y Aayaata Card hates Time te houden. 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The www ALETA - So del that the w with Description The analytikervice Microarpeting is engineered a combination of descriptive analytics nie and Moof data. Its goals the description of the demographie distribution of customers for a specific car model (A tron) to share the meeting approach by better addressing the target group. The service specifically developed to gain knowledge of the customer base and their need for certain products. The Microtargeting dashboard allowed for in-depth analysis of potential at both area and customer level. Initially, this si created because of a dression on executive board level to improve the targeting of potential A3 e-tron customers in Spain Challenge Depending on each market new market specific data had to be gathered and were not always available in the right quality and richness Consequently, having but the analytical model the biggest and continous challenge when developing and delivering the Microarpeting ervice was the aquisition of market specific data. Therefore, the effort for delivering the service to customer did not decrease but stayed instead on the same level. Moreover, the variety of data Rotes in the different countries of AUDI Importers resulted in country-speciile solutions, which is ainst the paradiom of analytica-service by the Achieving the sale of Wig data analytics through bec Wever before matamaniowy wiwag te onderdeeldives, AUDE, Mreme, expect the Danish utiley at natu the people www. concept away and we them the Caicos coction of de chake AUDI coded when de pistepla Bestehenden devel sonra pod with dep of the way implemen wity of design modo perohen TAS dog we devel wie Mierdings domowever, A Hallway CR T. hustration Demand Analyse G when wa Description From its early roots, the analytis vice Demand Analysis was designed sprite analytics vice. Its goal was to anticipate order entries for instance. This helped to the pending of media budgets as well as a common based on data-dr analysis intend of experime and feeling. The viewed sophisticated analysis methode machine ling and neural networks) Challenge Developing an analytical model to predict the future order entry posed two major challenges Pint data that codd be used from AUDI systems we pot always complete Second, the that devated previous onder entries were not always known and were has not correctly interested by the analytical model wy w may Which - tes We AUDI www he 1 TL AUDI Hamid Nie dyed the hy www.com Help M elewa Wa Allow What the Juide for de how AUDI www Apment and teaching www. The these nedodh wystaw Didyshow AUDI wow goed The way and of the diventat membe you as well as to de cong cao OEM plementary o wiele lapel de pays. Com wale AUDR Toled teak me, Tablete a duwe depending on whiteThe per day , attle , talan then the detare dhe ALD- Ng dana be a sore the value ALDE the data is to pay the only one that can weet of Cowboat the schede

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