service design_IT
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George Brown College Canada *
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Course
T411
Subject
Information Systems
Date
Dec 6, 2023
Type
docx
Pages
8
Uploaded by KidCrownMole53
SERVICE
DESIGN
PACKAGE
IT BEST PRACTICES
CREATED BY:
Hardi Rajeshbhai Maradia - 101464185
Harshitha Katta – 101448046
Shivangi Bipinkumar Patel – 101429061
Somayeh Hosseini - 101452514
Objective
From an IT perspective, the following tasks need to be done for the project:
Develop a detailed design plan
: Based on the high-level feature and functionality agreed upon with marketing, a detailed design plan needs to be developed. The plan should cover all aspects of the product design, including user interface design, database design, network infrastructure design, and security design.
Develop a project schedule:
A project schedule needs to be developed that outlines all the tasks, dependencies, and milestones involved in the design phase. The schedule should be realistic and take into account any potential roadblocks that may arise.
Identify and allocate resources:
Based on the design plan and project schedule, the required resources for the project should be identified and allocated. This may include personnel, hardware, software, and other resources necessary for the successful completion of the project.
Conduct feasibility study
: A feasibility study should be conducted to determine if the design plan and project schedule are realistic, given the available resources and constraints. The feasibility study should also identify any potential risks and provide a plan for mitigating those risks.
Create a prototype:
A prototype of the product should be created to validate the design plan and
test the product's functionality. The prototype should be thoroughly tested and any issues identified should be addressed before moving on to the development phase.
Develop detailed documentation:
Detailed documentation should be created for the design plan,
project schedule, feasibility study, and prototype. The documentation should be comprehensive and provide a clear roadmap for the development team.
Conduct design reviews:
Regular design reviews should be conducted throughout the design phase to ensure that the design plan and project schedule are on track and that the project is meeting all its objectives.
Assumptions made:
The project has a clear business case and location to operate.
The high-level features and functionalities of the product have been agreed upon with marketing.
The target launch date is six months from now.
Sufficient resources are available to complete the project.
Service Design
1.
What is the scope?
The scope of a dynamic pricing app can vary depending on the specific use case and industry. Generally, a dynamic pricing app is designed to help businesses adjust their pricing in real-time based on changing market conditions, customer demand, and other relevant factors. Some examples of industries that commonly use dynamic pricing apps include:
E-commerce
: Dynamic pricing apps can help e-commerce businesses adjust their prices
based on factors such as inventory levels, competitor pricing, and customer behavior.
Hospitality
: Hotels, airlines, and other hospitality businesses can use dynamic pricing apps
to adjust their prices based on factors such as seasonality, occupancy rates, and demand.
Ridesharing
: Companies in the ride-sharing industry can use dynamic pricing apps to adjust
their prices based on factors such as traffic conditions, time of day, and customer demand.
Entertainment
: Dynamic pricing apps can be used by entertainment businesses such as
sports teams and concert venues to adjust their prices based on factors such as ticket sales,
weather conditions, and the popularity of the event.
In general, the scope of a dynamic pricing app will involve analyzing various data sources in real-
time and using that information to adjust pricing. The app may also include features such as predictive analytics, machine learning, and data visualization to help businesses make more informed pricing decisions. Ultimately, the goal of a dynamic pricing app is to help businesses optimize their pricing strategy and increase revenue while remaining competitive in the market.
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2.
What are the business objectives that we are meeting? A dynamic pricing project can help businesses achieve several business objectives, including:
Maximize revenue
: Dynamic pricing allows businesses to adjust prices in real-time based on market conditions, customer demand, and other relevant factors. By setting prices that are more closely aligned with what customers are willing to pay, businesses can increase their revenue and profitability.
Improve competitiveness
: By using a dynamic pricing strategy, businesses can remain
competitive in the market by adjusting their prices to match or beat their competitors. This
can help attract more customers and increase market share.
Optimize inventory management
: Dynamic pricing can also help businesses optimize their
inventory management by adjusting prices to match inventory levels. This can help reduce
overstocking or understocking of products, which can lead to waste or missed sales
opportunities.
Increase customer loyalty
: By offering personalized pricing based on customer behavior and
preferences, businesses can improve customer loyalty and retention. This can lead to
increased repeat business and positive word-of-mouth marketing.
Enhance customer experience
: Dynamic pricing can also improve the customer experience
by offering prices that are more closely aligned with what customers are willing to pay. This
can help customers feel like they are getting a fair deal and lead to more positive
interactions with the business.
In summary, a dynamic pricing project can help businesses meet several important business objectives, including maximizing revenue, improving competitiveness, optimizing inventory management, increasing customer loyalty, and enhancing the customer experience
3.
How is it going to meet these key criteria?
Scalability
: Our app will be scalable to handle increasing levels of traffic, data, and computation as the business grows. This can be achieved by designing the app using a scalable architecture such as microservices, using cloud-based infrastructure that can scale up or down as needed, and implementing load balancing and caching techniques to optimize performance.
Availability
: App will be highly available to ensure that it can be always accessed by customers. This can be achieved by using redundant systems and data centers to eliminate single points of failure, implementing failover and disaster recovery mechanisms to quickly restore service in case of an outage, and using monitoring and alerting tools to proactively detect and address issues.
Reliability / Fault Tolerance:
It will be reliable and fault-tolerant to ensure that it can operate
correctly in the face of failures and errors. This can be achieved by implementing
redundancy and failover mechanisms, using techniques such as automated error recovery and retry mechanisms to handle errors gracefully, and using testing and validation techniques to ensure that the app is functioning correctly.
Maintainability
: It will be easy to maintain and update to ensure that it can keep up with changing business requirements and technology trends. This can be achieved by using modular, loosely coupled architectures that make it easy to add or remove functionality, using automated testing and deployment tools to streamline the release process, and using logging and monitoring tools to help diagnose issues and track changes.
Serviceability
: It will be easy to service and troubleshoot to ensure that issues can be quickly
resolved. This can be achieved by implementing logging and monitoring tools that provide visibility into the app's performance and behavior, using self-diagnostic and self-healing mechanisms to identify and address issues automatically, and providing documentation and support resources to help users and administrators troubleshoot issues.
Manageability
: It will be easy to manage and administer to ensure that it can be effectively maintained and operated. This can be achieved by using automation tools to simplify routine tasks such as backup and recovery, patching and updating, and resource allocation, providing a user-friendly administrative interface that makes it easy to monitor and manage the app, and providing training and support resources to help users and administrators operate the app effectively.
4.
High Level Plan
How are we going to build it/ implement it?
Implementing a dynamic pricing app project involves several technical steps. Here's an overview of the implementation process:
Choose a programming language and framework: Select a programming language and framework that can support your dynamic pricing algorithms and database integration. Some popular options include Python, Ruby on Rails, and Django.
Develop a database schema: Design a database schema that will store your pricing data and related information. Consider using a relational database management system (RDBMS) like MySQL, PostgreSQL, or SQLite.
Implement data collection and storage: Implement a system for collecting and storing the data that you'll use for your pricing algorithms. This may involve APIs for third-party data, web scraping, or other data sources.
Build pricing algorithms: Develop algorithms that will analyze your pricing data and determine
optimal prices based on your pricing strategy. You may need to use machine learning, regression analysis, or other techniques to develop accurate algorithms.
Create a user interface: Develop a user interface for your dynamic pricing app that allows users to view and interact with your pricing data. This may involve designing a web or mobile application.
Test and deploy: Test your dynamic pricing app and make sure it's functioning as intended. Deploy it to a server or cloud environment that can handle the necessary traffic and data storage requirements.
Monitor and optimize: Monitor your dynamic pricing app's performance over time and optimize it to improve accuracy and user experience. This may involve tweaking your algorithms, improving data collection, or making changes to the user interface.
Overall, implementing a dynamic pricing app project requires a combination of technical expertise, data analysis skills, and user interface design. It's important to carefully plan and test each step of the implementation process to ensure that your app is functioning optimally.
What are the major tasks?
Creating a dynamic pricing app involves several major tasks that need to be completed. Here are the most important tasks in dynamic pricing app creation:
Define your pricing strategy
: Determine which variables will affect your pricing model, such as supply and demand, time of day, or customer behavior. Decide on how frequently you want to update your prices and how you will collect and analyze data.
Collect and store data
: Gather data from various sources such as customer behavior, market trends, and competitor pricing. Store this data in a database that can be easily accessed and updated.
Develop pricing algorithms
: Create algorithms that can analyze the data you collected and adjust prices accordingly. This may involve using machine learning or other advanced techniques to develop accurate algorithms.
Build a user interface
: Develop a user interface for your dynamic pricing app that allows users to view and interact with your pricing data. This may involve designing a web or mobile application.
Test and refine
: Test your app with a small group of users and refine your algorithms based on feedback. Monitor your app's performance over time and make adjustments as
needed.
Deploy and maintain
: Once your app is ready, deploy it to a server or cloud environment that can handle the necessary traffic and data storage requirements. Monitor your app's performance over time and make updates and improvements as needed.
Overall, creating a dynamic pricing app requires a combination of technical expertise, strategic thinking, and ongoing maintenance and optimization. It's important to carefully plan each task and ensure that your app is providing accurate pricing information and a positive user experience.
How long would they take?
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The time it takes to create a dynamic pricing app can vary depending on several factors such as the complexity of the pricing algorithms, the amount of data to be collected and analyzed, and the size of the development team.
A simple dynamic pricing app may take several weeks to develop, while a more complex app could take several months to a year or more. However, it's important to note that creating a dynamic pricing app is an iterative process, and it may take time to refine the algorithms and user interface to achieve optimal results.
What is the order that is required to be followed?
here's a general order of tasks that could be followed:
1.
Define your pricing strategy and objectives: This involves determining which variables will affect your pricing model, such as supply and demand, time of day, or customer behavior. Decide on how frequently you want to update your prices and how you will collect and analyze data.
2.
Collect and store data: Gather data from various sources such as customer behavior, market trends, and competitor pricing. Store this data in a database that can be easily accessed and updated.
3.
Develop pricing algorithms: Create algorithms that can analyze the data you collected and adjust prices accordingly. This may involve using machine learning or other advanced techniques to develop accurate algorithms.
4.
Design and develop a user interface: Develop a user interface for your dynamic pricing app
that allows users to view and interact with your pricing data. This may involve designing a web or mobile application.
5.
Test and refine: Test your app with a small group of users and refine your algorithms based on feedback. Monitor your app's performance over time and adjust 3eas needed.
6.
Deploy and maintain: Once your app is ready, deploy it to a server or cloud environment
that can handle the necessary traffic and data storage requirements. Monitor your app's performance over time and make updates and improvements as needed.
It's important to note that creating a dynamic pricing app is an iterative process, and we may need to go back and refine certain steps as we learn more about our pricing strategy and user
needs. By following a well-defined process, we can ensure that your app is providing accurate pricing information and a positive user experience.
How are we going to test it?
1.
Integration testing:
This involves testing how different components of the app work together to ensure that they integrate seamlessly.
2.
User acceptance testing
: This involves testing the app with a small group of users to ensure that it is meeting their needs and providing a positive user experience.
Provide a Topology diagram.