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1. How Information Systems Acquisition, Development and Maintenance can help Uber Company Using the two Proposal Solutions Mentioned Above.
Information Systems Acquisition, Development, and Maintenance (IS ADM) can help Uber implement the two proposal solutions by providing the necessary tools and resources to acquire, develop, and maintain the hardware and software needed to improve the user-friendliness of the driver and rider app, as well as the driver dashboard.
Acquisition: IS ADM can assist Uber in identifying and procuring the necessary hardware and software to add new features and updates to the driver and rider app, such as GPS navigation, real-time traffic updates, and ride-sharing recommendations.
Development: IS ADM can assist Uber in developing the new features and updates for the driver and rider app, as well as the driver dashboard, by providing software development resources and expertise. This includes programming languages, development frameworks, and testing tools.
Maintenance: IS ADM can assist Uber in maintaining the hardware and software for the driver and rider app, as well as the driver dashboard, by providing ongoing support and troubleshooting services. This includes software updates, bug fixes, and security patches, as well as monitoring and reporting on system performance and usage.
Overall, IS ADM can help Uber improve the user-friendliness of the driver and rider app, as well as the driver dashboard, by providing the necessary tools and resources to acquire, develop, and maintain the hardware and software needed to achieve these goals.
2.What kind of Hardware and Software can Help Uber in order to enhance the overall quality of Dashboard?
There are a variety of hardware and software that can help Uber enhance the overall quality of their dashboard. Some examples include:
Data visualization software: This type of software can help Uber present the data on the dashboard in an easy-to-understand format, such as charts, graphs, and maps. Examples include Tableau, Power BI, and Looker.
Business Intelligence (BI) tools: These tools can help Uber collect, store, and analyze data from different sources, such as GPS, financial systems, and customer feedback, to provide a more comprehensive view of the driver’s performance and earnings. Examples include Microsoft Power BI, SAP BusinessObjects, and IBM Cognos.
Cloud-based systems: Using cloud-based systems can help Uber store and access large amounts of data and allows the company to scale their resources as needed. Examples include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
Mobile device management software: This software can help Uber manage and secure the mobile devices used by drivers, such as smartphones and tablets. Examples include MobileIron, AirWatch, and IBM MaaS360.
Advanced Analytics Platforms: Uber can use advanced analytics platforms like Hadoop, Spark and Data Science Platforms like Python, R, SAS, etc to process and analyze large amounts of data to extract insights, which can be visualized on the dashboard.
It is important to note that Uber’s specific hardware and software requirements will depend on their specific needs, and they may choose to use different solutions for different parts of their dashboard.
3. What are the potential benefits of implementing the Proposed Solution for Uber Using Information Systems Acquisition, Development and Maintenance.
There are several potential benefits of implementing the proposed solution for Uber using Information Systems Acquisition, Development and Maintenance (IS ADM):
Improved User Experience: By making the driver and rider app more user-friendly, Uber can improve the overall experience for both drivers and riders, which can lead to increased satisfaction and loyalty.
Increased Efficiency and Productivity: Enhancing the driver dashboard to provide additional information about rides, earnings, and incentives can help drivers make more informed decisions and increase their efficiency and productivity.
3- Better Data Management: By integrating data from different sources such as GPS, financial systems, and customer feedback, the enhanced driver dashboard can provide a more comprehensive view of the driver’s performance and earnings, which can help Uber make better data-driven decisions.
4- Increased Revenue: By improving the user experience, increasing efficiency and productivity, and making better data-driven decisions, Uber can increase its revenue by attracting more riders and retaining more drivers.
5- Better Decisions: Advanced Analytics Platforms like Hadoop, Spark and Data Science Platforms like Python, R, SAS, etc. can help Uber process and analyze large amounts of data to extract insights and make better decisions.
6- Cost Savings: By using cloud-based systems to store and access large amounts of data, Uber can save on costs related to maintaining and upgrading physical infrastructure.
7- Improved Security: Using mobile device management software can help Uber manage and secure the mobile devices used by drivers, which can help protect sensitive information and improve overall security.
4. Include any future recommendation for Uber using Information Systems Acquisition, Development and Maintenance.
Here are a few future recommendations for Uber using Information Systems Acquisition, Development and Maintenance (IS ADM):
1- Personalization: Incorporating personalization techniques such as machine learning and artificial intelligence in the driver and rider app can help provide a more personalized experience for each user. This can include providing personalized ride recommendations, route suggestions, and even in-app communication tailored to each individual user.
2- Predictive Analytics: Implementing predictive analytics can help Uber predict and prevent potential issues before they happen, such as identifying high-risk drivers, predicting demand for rides, and identifying areas where accidents or traffic congestion are likely to occur. This can help Uber optimize their operations and improve overall efficiency.
3- Automation: Implementing automation can help Uber streamline various processes and reduce the need for manual intervention. For example, using automation for driver verification and background checks can help speed up the onboarding process and improve accuracy.
4- Automated Dispatching: Automated dispatching can help Uber match drivers with riders more efficiently and accurately, by using machine learning and AI algorithms to predict demand, driver availability and optimal routes.
5- Advanced Geo-location: Incorporating advanced geolocation technologies can help Uber provide more accurate real-time location data for drivers and riders, which can improve the overall experience for both parties.
6- Integration with other platforms: Integrating Uber services with other platforms like Google Maps, Waze, and other navigation apps can improve the user experience and make it more convenient for riders and drivers.
7- Advanced Security Measures: Implementing advanced security measures like multi-factor authentication, encryption and Blockchain technology can help Uber protect sensitive data and ensure the security of the platform.
