TECHNOLOGY DESCRIPTION OF PROPOSED SOLUTION.docx
- 1. TECHNOLOGY DESCRIPTION OF PROPOSED SOLUTION Table of Content Technical Description of Proposed Solution Architectural Diagram Context Diagram
- 2. CostsV. TECHNICAL DESCRIPTION OF PROPOSED SOLUTION Trusty Carpets’ ERP/CRM SaaS technology solution will be implemented by Sererra, a vendor that specialize in cloud computing technology. The vendor will install, configure and manage Trusty Carpets’ database virtually. Once the company’s customer data is transferred, it is then stored in cloud-based servers. The implementation of routers will give Trusty Carpets’ computers more versatility in gaining access to the internet and servicing customers. The company’s employers and third-party partners can retrieve and upload customer information, such as general billing information, customer transactions, and inquires, via the Internet by providing a user name and password. This will enable all business entities remote access to the business data with the use of any device with online capabilities. This cloud-based technology will allow access to Trusty Carpets’ ERP/CRM application at anytime and anywhere. Although the Sererra will provide the hardware infrastructure, Trusty Carpets is responsible for acquiring the following equipment: 24- Port switch, printer/scanner/fax/copier, All-in- One desktop, 2 laptops and tablets that will be used by the company’s employees. Verizon, the Internet Service Provider (ISP) chosen by Trusty Carpets, will provide the wireless router
- 3. as well as a high-speed DSL business bundle package that includes phone service. This wireless router offers firewall protection. Verizon phone service offers call holding, call forwarding, call waiting, 3-way calling, automatic callback, voice mail, multiple phone lines, etc. which will allow Trusty Carpets to provide excellent customer service to anyone calling the business. The ISP will also provide 9 IP addresses and webhosting services for Trusty Carpets’ staff. The wireless router will allow the company’s sales staff wireless access while on the premises. The ISP will provide anti-viral software with the business package that Trusty Carpets’ will acquire. Verizon Internet Service will provide Trusty Carpets internet access to connect with Sererra cloud technology through a front-end portal. Trusty Carpets’ SaaS vendor will provide NetSuite ERP and Microsoft Dynamics CRM software products that will provide front and back office integration with the use of only one single database system. The ERP software offers real-time view needed for faster and better decisions; improve workforce productivity with anytime and anywhere access. NetSuite ERP also offers BPO Partnership program that will allow Trusty Carpets’ and its partners a unified cloud-based ERP solution which will permit shared client information. NetSuite ERP will be used to help Trusty Carpets manage it business and
- 4. relationships while providing important benefits that will increase revenue and decrease costs. The chosen CRM software, Microsoft Dynamics, offers the following: improves sales performance through forecasting and commission management; elevates productivity across the organization with an extended view of customers; offers marketing automation; integrated ecommerce capabilities; and the software is user-friendly. Micro Dynamics offers campaign management that will enable design and supervision of tailored campaigns across social media, email, and direct mail. Microsoft Dynamics CRM with MailChimp integration will allow Trusty Carpets to bulk emails, including newsletters and store offers, to be sent out to customers from within the CRM. This technology will also help Trusty Carpets build an email list from social media sites and customers visiting Trusty Carpets’ website. Sererra will be responsible for building and managing Trusty Carpets’ website and marketing campaign using the latest search engine strategies. Information obtained from customers on the website will automatically upload to the company’s virtual database. Serrera will integrate ERP/CRM software packages with the use of NetSuite Open Air Connect. The NetSuite Open Air Connect will also integrate Microsoft Office Business software, which
- 5. will be used for Trusty Carpets’ desktop application. Microsoft Office Business application will enable Trusty Carpets’ employees to communicate with the one another as well as customers and business partners via Outlook email accounts and instant messaging. This software is a full office package that also includes Word, Excel Spreadsheet, PowerPoint, Publisher, OneNote and Lync. This software could be used to create marketing materials, business reports and other business documents. All current customer data and data required to manage Trusty Carpets’ virtual system will be entered by Sererra and will be maintained throughout the life of the contract. Trusty Carpets’ staff will be responsible for inputting new customers and potential customers’ information of individuals that physically visit the store, after receiving proper training on how to use the new technology. The vendor selected will provide physical or virtual employee training at no additional costs. Verizon iPad Air 2 Tablets with CWR Mobile CRM mobile app will be used by Trusty Carpets’ sales force while out in the field. This app is available to individuals using Microsoft Dynamics CRM. The CWR CRM application will give the sales staff real-time access to customer accounts from the tablets. The sales staff will also have the option of placing customer orders, send and receive information within minutes. CWR Mobile
- 6. platform offers secure authenticated transmission and provide the highest encryption levels available. If a device is lost or stolen, Trusty Carpets can remotely delete all data from the device. This tablet offers Touch ID fingerprint sensor for additional data security. The Verizon Jetpack offers Internet access outside of the office and will be used by the sales staff in the field. The jetpack offers connection up to 20 hours and doubles as a universal charger for external devices. This hardware offers additional security by enabling only selected devices to connect to it. The Apple iPad Air2 also provides McAfee anti-viral and Asurion Mobile protection. This protection enables Trusty Carpets’ sales staff to surf the web, check email and video chat without compromising data security. Sererra offer IDSs, Intrusion Detection Systems, which are implemented and used to observe and document activities to identify impending invasions, malicious actions and strategy violations. For Trusty Carpets’ physical security, FrontPoint Security was chosen. The security monitoring system will provide the company with 24 hour monitoring; entry sensors and motion sensors to protect the business from break-ins; smoke and heat detectors that will alert the proper authorities if a fire occurs on the premises; and flood, temperature and carbon monoxide
- 7. detectors. The plan offers cellular and internet monitoring as well as follow-up notifications. The application of the proposed technology solutions mentioned will enable centralized management of all resources among the business and entities involved. Incorporating this technical solutions will also offer scalability which will support any future expansion goals. Architectural Diagram: Context Diagram:
- 8. Costs: Assignment 4: Data Mining Due Week 9 and worth 75 points The development of complex algorithms that can mine mounds of data that have been collected from people and digital devices have led to the adoption of data mining by most businesses as a means of understanding their customers better than before. Data mining takes place in retailing and sales, banking, education, manufacturing and production, health care, insurance, broadcasting, marketing, customer services, and a number of other areas. The analytical information gathered by data-mining applications has given some businesses a competitive advantage, an ability to make informed decisions, and better
- 9. ways to predict the behavior of customers. Write a four to five (4-5) page paper in which you: 1.Determine the benefits of data mining to the businesses when employing: 1.Predictive analytics to understand the behavior of customers 2.Associations discovery in products sold to customers 3.Web mining to discover business intelligence from Web customers 4.Clustering to find related customer information 2.Assess the reliability of the data mining algorithms. Decide if they can be trusted and predict the errors they are likely to produce. 3.Analyze privacy concerns raised by the collection of personal data for mining purposes. 1.Choose and describe three (3) concerns raised by consumers. 2.Decide if each of these concerns is valid and explain your decision for each. 3.Describe how each concern is being allayed. 4.Provide at least three (3) examples where businesses have used predictive analysis to gain a competitive advantage and evaluate the effectiveness of each business’s strategy. 5.Use at least three (3) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources. Your assignment must follow these formatting requirements:
- 10. •Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions. •Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length. The specific course learning outcomes associated with this assignment are: •Explain how information technology systems influence organizational strategies. •Evaluate the ethical concerns that information technologies raise in a global context. •Outline the challenges and strategies of e-Business and e- Commerce technology. •Use technology and information resources to research issues in information systems and technology. •Write clearly and concisely about topics related to information systems for decision making using proper writing mechanics and technical style conventions rubric for this assignment Points: 75 Assignment 4: Data Mining
- 11. Criteria Unacceptable Below 70% F Fair 70-79% C Proficient 80-89% B Exemplary 90-100% A 1a. Determine the benefits of data mining to the businesses when employing predictive analytics to understand the behavior of customers. Weight: 5% Did not submit or incompletely determined the benefits of data mining to the businesses when employing predictive analytics to understand the behavior of customers. Partially determined the benefits of data mining to the businesses when employing predictive analytics to understand the behavior of customers. Satisfactorily determined the benefits of data mining to the businesses when employing predictive analytics to understand the behavior of customers. Thoroughly determined the benefits of data mining to the businesses when employing predictive analytics to understand the behavior of customers.
- 12. 1b. Determine the benefits of data mining to the businesses when employing associations discovery in products sold to customers. Weight: 5% Did not submit or incompletely determined the benefits of data mining to the businesses when employing associations discovery in products sold to customers. Partially determined the benefits of data mining to the businesses when employing associations discovery in products sold to customers. Satisfactorily determined the benefits of data mining to the businesses when employing associations discovery in products sold to customers. Thoroughly determined the benefits of data mining to the businesses when employing associations discovery in products sold to customers. 1c. Determine the benefits of data mining to the businesses when employing Web mining to discover business intelligence from Web customers. Weight: 5% Did not submit or incompletely determined the benefits of data mining to the businesses when employing Web mining to
- 13. discover business intelligence from Web customers. Partially determined the benefits of data mining to the businesses when employing Web mining to discover business intelligence from Web customers. Satisfactorily determined the benefits of data mining to the businesses when employing Web mining to discover business intelligence from Web customers. Thoroughly determined the benefits of data mining to the businesses when employing Web mining to discover business intelligence from Web customers. 1d. Determine the benefits of data mining to the businesses when employing clustering to find related customer information. Weight: 5% Did not submit or incompletely determined the benefits of data mining to the businesses when employing clustering to find related customer information. Partially determined the benefits of data mining to the businesses when employing clustering to find related customer information. Satisfactorily determined the benefits of data mining to the businesses when employing clustering to find related customer information. Thoroughly determined the benefits of data mining to the businesses when employing clustering to find related customer information.
- 14. 2. Assess the reliability of the data-mining algorithms. Decide if they can be trusted and predict the errors they are likely to produce. Weight: 20% Did not submit or incompletely assessed the reliability of the data-mining algorithms. Did not submit or incompletely decided if they can be trusted and did not submit or incompletely predicted the errors they are likely to produce. Partially assessed the reliability of the data-mining algorithms. Partially decided if they can be trusted and partially predicted the errors they are likely to produce. Satisfactorily assessed the reliability of the data-mining algorithms. Satisfactorily decided if they can be trusted and satisfactorily predicted the errors they are likely to produce. Thoroughly assessed the reliability of the data-mining algorithms. Thoroughly decided if they can be trusted and thoroughly predicted the errors they are likely to produce. 3a. Choose and describe three (3) concerns raised by the collection of personal data for mining purposes. Weight: 5% Did not submit or incompletely chose and described three (3) concerns raised by the collection of personal data for mining purposes. Partially chose and described three (3) concerns raised by the
- 15. collection of personal data for mining purposes. Satisfactorily chose and described three (3) concerns raised by the collection of personal data for mining purposes. Thoroughly chose and described three (3) concerns raised by the collection of personal data for mining purposes. 3b. Decide if each of these concerns is valid and explain your decision for each. Weight: 5% Did not submit or incompletely decided if each of the concerns is valid and did not submit or incompletely explained your decision for each. Partially decided if each of the concerns is valid and partially explained your decision for each. Satisfactorily decided if each of the concerns is valid and satisfactorily explained your decision for each. Thoroughly decided if each of the concerns is valid and thoroughly explained your decision for each. 3c. Describe how each concern is being allayed. Weight: 5% Did not submit or incompletely described how each concern is being allayed. Partially described how each concern is being allayed. Satisfactorily described how each concern is being allayed. Thoroughly described how each concern is being allayed. 4. Provide at least three (3) examples where businesses have
- 16. used predictive analysis to gain a competitive advantage and evaluate the effectiveness of each business’s strategy. Weight: 30% Did not submit or incompletely provided at least three (3) examples where businesses have used predictive analysis to gain a competitive advantage and did not submit or incompletely evaluated the effectiveness of each business’s strategy. Partially provided at least three (3) examples where businesses have used predictive analysis to gain a competitive advantage and partially evaluated the effectiveness of each business’s strategy. Satisfactorily provided at least three (3) examples where businesses have used predictive analysis to gain a competitive advantage and satisfactorily evaluated the effectiveness of each business’s strategy. Thoroughly provided at least three (3) examples where businesses have used predictive analysis to gain a competitive advantage and thoroughly evaluated the effectiveness of each business’s strategy. 5. 3 references Weight: 5% No references provided Does not meet the required number of references; some or all references poor quality choices. Meets number of required references; all references high quality
- 17. choices. Exceeds number of required references; all references high quality choices. 6. Clarity, writing mechanics, and formatting requirements Project Management and Risk Management Purpose of this Assignment This assignment gives you the opportunity to apply the concepts of the IFSM curriculum to develop a strategy for Project Management and Risk Management for your proposed technology solution. This assignment specifically addresses the following course outcomes to enable you to: · Evaluate, select, and apply appropriate analytical and measurement methods/tools and system development life cycle (SDLC) – methodologies to meet organizational needs. · Research, assess, recommend/select, and implement information technology that aligns with business needs and meets business objectives. · Effectively communicate with stakeholders orally, visually,
- 18. and in writing to determine stakeholders' business requirements, explain how their requirements will be met, and provide ongoing audience-appropriate information. · Responsibly protect organizations' critical information and assets by integrating cybersecurity best practices and risk management throughout global enterprises. · Plan, execute, and evaluate technology solutions to achieve strategic goals by managing high-performing teams and projects. It also addresses the business strategy, project management, risk management, SDLC and teamwork themes. Assignment The assignment is to develop Sections VI and VII of the Business Case, which provide the Project Management Section and Risk Management Section for the specific technical solution being proposed. 1. Project Management. This section of the business case provides a summary of the plan for managing and implementing the proposed project. It should identify the members of the Project Team, not by name, but by job function or skill set required. It should identify the major phases of the System Development Life Cycle (SDLC) with timelines for each phase and include other related activities, as appropriate to the
- 19. proposed solution. A complete “Project Management Plan” would be separately developed and contain much more detail than is required here. This section should be completed in a few short paragraphs, using tables or lists as appropriate. 2. Risk Management. For this section of the business case, the Risk Matrix below will be completed. In addition to the matrix, the most significant risks should be highlighted and pointed out to the decision makers who will be using the Business Case. The document “How To Guide to Risk Management” should be used as a resource. For major projects, a separate “Risk Management Plan” would be developed and contain much more detail than is required here. This section should be completed in a few short paragraphs in addition to the matrix. 3. Risk Matrix. Using the Case Study, the “How To Guide,” and the IT solution you proposed, complete the risk analysis matrix provided below, describing for each Area of Risk: a. how that area applies to your proposed IT solution for the Case Study, b. the probability (High/Medium/Low) of its occurrence, c. impact (High/Medium/Low) on the organization if it does occur, d. a strategy to mitigate the risk, and e. a contingency plan in the event that it occurs. Explanations of each of the Areas of Risk are available in the document “How to Guide to Risk Management,” pages B3-B7.
- 20. Definitions for probability of occurrence and impact may be found on page 7, an example of a mitigation strategy is given on page 9, and an explanation of a contingency plan is on page 8 of the same document. The table below may be copied, pasted and completed. Do not limit your responses to the space shown in table, but provide complete answers for “Description,” “Strategy for Mitigation,” and “Contingency Plan.” Area of Risk Description Probability of Occurrence Impact of Occurrence Strategy for Mitigation Contingency Plan Strategic Business
- 21. Feasibility Risk of Creating a Monopoly Capability to Manage Investment Organization and Change Management
- 22. Dependencies and Interoperability Security Surety (Asset Protection) Privacy
- 23. Project Resources Schedule Initial Cost Life Cycle Cost
- 24. Technical Obsolescence Technology Environment Reliability of Systems Data and Information
- 25. Overall Risk of Investment Failure Assignment Submission The group member responsible for submitting this assignment will post it in the Assignment Folder and the appropriate Week 6 discussion area by the due date. The cover sheet for the Word document should include the names of all team members who contributed to the assignment. (Refer to the Group Project Instructions for explanation of contributors.) GRADING RUBRIC: Criteria 90-100% Far Above Standards 80-89%
- 26. Above Standards 70-79% Meets Standards 60-69% Below Standards < 60% Well Below Standards Possible Points Project Management 33-37 Points The project management section is thorough, clearly described, logical and appropriate to the Case Study and to the previously submitted sections of the Business Case. All phases of the SDLC, timelines and other related activities are included. Demonstrates sophisticated analysis and critical thinking and sophisticated writing. 30-32 Points The project management section is complete, clearly described, logical and appropriate to the Case Study and to the previously submitted sections of the Business Case. All phases of the
- 27. SDLC, timelines and other related activities are included. Demonstrates analysis and critical thinking and effective writing. 26-29 Points The project management section is logical and appropriate to the Case Study and to the previously submitted sections of the Business Case. All phases of the SDLC, timelines and other related activities are included. 22-25 Points The project management section may not be complete, may not be clearly described, may not be logical and/or may not be appropriate to the Case Study and/or the previously submitted sections of the Business Case. All phases of the SDLC, timelines and other related activities may not be included. 0-21 Points No project manage-ment section is included, or minimal effort is demon-strated. 37 Risk Management 13-15 Points The Risk Management Section is thorough, clear, logical and appropriate to the Case Study and to the previously submitted sections of the Business Case. The most significant risks are
- 28. appropriately highlighted. Demonstrates sophisticated analysis and critical thinking and sophisticated writing. 12 Points The Risk Management Section is clear, logical and appropriate to the Case Study and to the previously submitted sections of the Business Case. The most significant risks are appropriately highlighted. Demonstrates analysis and critical thinking and effective writing. 10-11 Points The Risk Management Section is appropriate to the Case Study and to the previously submitted sections of the Business Case. The most significant risks are appropriately highlighted. 9 Points The Risk Management Section may be lacking in completeness and/or clarity and/or logic; it may not be appropriate to the Case Study and to the previously submitted sections of the Business Case. The most significant risks may not be appropriately highlighted. 0-8 Points No risk manage-ment section is included, or minimal effort is demon-strated. 15 Risk Matrix
- 29. 34-38 Points The Description, Probability, Impact, Mitigation Strategy and Contingency Plan for each area of risk is appropriate, logical and applies to the Case Study and the proposed solution. Demonstrates sophisticated analysis and critical thinking and sophisticated writing. 30-33 Points The Description, Probability, Impact, Mitigation Strategy and Contingency Plan for each area of risk is logical and applies to the Case Study and the proposed solution. Demonstrates analysis and critical thinking and effective writing. 27-29 Points The Description, Probability, Impact, Mitigation Strategy and Contingency Plan for each area of risk is logical and applies to the Case Study and the proposed solution. 23-26 Points The Description, Probability, Impact, Mitigation Strategy and Contingency Plan for each area of risk may not be logical and/or apply to the Case Study and/or the proposed solution. Some areas may not be addressed. 0-22 Points Risk matrix is not included, or minimal effort is demon-strated.
- 30. 38 Format 9-10 Points Submission reflects effective organization and sophisticated writing; follows instructions provided; uses correct structure, grammar, and spelling; presented in a professional format using Word; any references used are appropriately incorporated and cited using APA style. 8 Points Submission is well organized; follows instructions provided; uses correct structure, grammar, and spelling; presented in a professional format using Word; any references used are appropriately incorporated and cited using APA style. 7 Points Submission is organized; follows instructions provided; contains few errors in structure, grammar, and/or spelling; presented in Word format; any references used are appropriately incorporated and cited using APA style. 6 Points Submission may not be well organized; and/or does not follow instructions provided; and/or contains grammar and/or spelling errors; and/or is not in Word format; and/or does not follow APA style for any references and citations.
- 31. 0-5 Points Document is extremely poorly written and does not convey the informa-tion. 10 TOTAL Points Possilbe 100