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Business Intelligence using Big Data Uber Case Study
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Added on 2020-04-01
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This report is on "data visualizing and analytics". This report presents Uber is a smartphone-based company with its headquarters in San Francisco. Uber is based on the big data principle of crowdsourcing. Uber systems store and monitors all the information about the users on each journey they take and such data are used to determining demand, resource allocation, and set fares. We will discuss here the use of big data and improve user experience to drive more profit to drive more profitable customer engagements. This report describes the proper allocation of services using big data analytics, enhances security using driver selfies powered by Microsoft Cognitive Services.
Business Intelligence using Big Data Uber Case Study
Added on 2020-04-01
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Running Head: BUSINESS INTELLIGENCE USING BIG DATA – UBER CASE STUDYBusiness intelligence using big dataUber case studyStudent’s name:Institution Affiliation:
BUSINESS INTELLIGENCE USING BIG DATATable of ContentsIntroduction to Uber...................................................................................................................................3Use of Big data............................................................................................................................................3Business strategy.........................................................................................................................................3Improve user experience to drive more profit to drive more profitable customer engagements...........3Business Initiative........................................................................................................................................4Improve match results.............................................................................................................................4Increase customers..................................................................................................................................4Proper allocation of services using big data analytics..............................................................................4Enhance security using driver Selfies powered by Microsoft Cognitive Services.....................................4Outcomes and Critical Success Factors (CSF)...............................................................................................5Optimize ratings and feedback system....................................................................................................5Pricing value of the journey.....................................................................................................................5Generate profile for passenger and driver using rating system...............................................................5Allocate resources by analyzing public transport networks....................................................................6Use business intelligence to develop algorithms for monitoring traffic data and journey time in real time.........................................................................................................................................................6Evaluate the match regarding proximity and fare...................................................................................6Implement cashless system for payment integration..............................................................................6Analyze and Implement market strategies like referrals, reviews, partnership, a loyalty.......................6Data sources................................................................................................................................................7Driver data...............................................................................................................................................7Rider data................................................................................................................................................7Payment data..........................................................................................................................................7Traffic data...............................................................................................................................................7GPS data..................................................................................................................................................7Marketing data........................................................................................................................................8Mobile data.............................................................................................................................................8Uber Technology Stack................................................................................................................................8HTTP Server Technologies.......................................................................................................................8Client libraries..........................................................................................................................................8Programming language............................................................................................................................8Server Libraries........................................................................................................................................9Databases................................................................................................................................................9
BUSINESS INTELLIGENCE USING BIG DATAData stores..............................................................................................................................................9Server Software.......................................................................................................................................9Operating System....................................................................................................................................9Tasks..........................................................................................................................................................11Role of socio media in decision-making.....................................................................................................11Data Visualizing and Analytics...................................................................................................................11MDM to support DS&BI.............................................................................................................................12Support of NoSQL for Big Data Analytics...................................................................................................12How Uber has used NoSQL Databases in Big Data.....................................................................................13Big Data Value creation process................................................................................................................13Conclusion.................................................................................................................................................14References.................................................................................................................................................15
BUSINESS INTELLIGENCE USING BIG DATAIntroduction to UberUber is a smartphone-based company with its headquarters in San Francisco. The company is currently operating in six hundred and thirty-three cities all over the world. Uber develops, markets and operates the Uber transport and food delivery apps. Uber uses drivers whoeither have their cars, but also drivers have the option of renting out cars to the driver under their umbrella. Uber uses a web portal uber.com and mobile applications –Android and iOS in its systems.Uber is based on big data principle of crowdsourcing. Uber systems stores and monitors all the information about the users on each journey they take and such data are used to determining demand, resource allocation, and set fares. After several trips, Uber will know where you live, where you work, where you are traveling (Abrosimova K, 2014).Use of Big dataStoring bulks of data does not help a business in any way. Business value for data is created when the data is analyzed, made available to users, and the analysis used to make better and informed decisions. Big data has improved the analytics as now there is, even more, data to analyze. Uber uses big data in the following ways:Business strategyImprove user experience to drive more profit to drive more profitable customer engagementsUber knows where returning customer lives, works or goes to hang out on the weekend and the frequency in which the request Uber services. To improve the match result between a rider and Uber drivers, Uber uses the ratings and feedback system. Uber customers are given a chance to rate the drivers. Drivers also have an opportunity to evaluate their riders. This is done on a scale of 1 to 5 with 1 being the lowest score and five the highest score. If a driver rates the customer as little as 3, the Uber availability may be compromised for that rider (Forsythe, A, Haenikel, D, Zha, M, 2017). On the other hand, a driver with meager ratings may be punished by
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