Add Targets To Balanced Scorecard Draw As A Diagram And Expl

Add Targets To Balanced Score Carddraw As a Diagram And Exp

Question Add Targets to Balanced score Card Draw as a Diagram and explain 2) Question Scope Diagram 3) Question Use Table for Catalogue requirement Take Two Requirements and do description Use case diagram should directly map to the functional requirement 4) Question Use similar to this for valentino’s case study 5) Question Develop Root Picture and Class Diagram 6) Question 7) Question Produce 4 Proto types Draw Diagrams using Power Point or Paint or any Software 8) Question Using the MVC pattern, produce 2Sequence Diagrams corresponding to 2 of the 4 Prototypes above Use this Diagram as a Templete 9) Question Why we need Enterprise Architecture? Critically explain, with references, the benefits of modelling the Enterprise Architecture for this case studyand why in particular Zachman Framework isuseful for this. 10) Question Fill the Boxes from the above diagrams Draw the Zachman Framework and populate it with the appropriate content (Including all the models and diagrams you have developed in this coursework and map them to the correct boxes of the Zachman Framework from the Valentino Case Study Consider ALL the diagrams you have developed in this case study and populate each box with the correct diagram. Some diagrams maybe be present in several boxes. You don’t need to draw the diagram in the box, just the name of the diagram and where in you report you drew that diagram. Please also add the following diagram names: state chart diagram, component diagram and deployment diagram in the boxes these diagrams will be put in. Data (What) Function (How) Network (Where) People Who) Time (When) Motivation (Why) Objectives / Scope Business Model Model of the Information System Technology Model Detailed Representations (Working systems) Functioning Enterprise Requirements Engineering 26 © Metadata Training PESTLE - Yorkies • Politics roads politically unacceptable, pressure to reduce heavy goods traffic in cities • Economics Buoyant property market ensures many removals Increased home shopping requires more delivery services • Social Heavy goods vehicles unpopular demand - driven, stay at home economy requires rapid delivery • Technological Internet availability and bookings advances in mapping and Web technology could provide better transport information • Legal emissions legislation may effect vehicle fleet, driving hours limited • Environmental (also Ethical) see above for environmental factors, safety factors in vehicles and drivers Requirements Engineering 33 © Metadata Training Porter's Five Forces Model: Competitive Rivalry, eg: • number and size of firms ï‚· industry size and trends ï‚· fixed v variable cost bases ï‚· product/service ranges ï‚· differentiation, strategy Supplier Power, eg: • brand reputation ï‚· geographical coverage ï‚· product/service level quality ï‚· relationships with customers ï‚· bidding processes/capabilities Product and Technology Development, eg: • alternatives price/quality ï‚· market distribution changes ï‚· fashion and trends ï‚· legislative effects Buyer Power, eg: • buyer choice ï‚· buyers size/number ï‚· change cost/frequency ï‚· product/service importance ï‚· volumes, JIT scheduling New Market Entrants eg: • entry ease/barriers ï‚· geographical factors ï‚· incumbents resistance ï‚· new entrant strategy ï‚· routes to market Impacts of IT on each?

CI7350: Agile Project Development 1 School of Computer Science and Mathematics, Kingston University, London, CUPE International [email protected] MEST PROFILE To enable identification of the areas which can be enhanced to improve the implementation of P@P and incremental or big bang approach. At the start to serve as a baseline and then at intervals during and after the implementation of P@P In a single initiative, team, department, division or across the whole organisation or network (when appropriate and ready). Why When Where CI7350: Agile Project Development 1 School of Computer Science and Mathematics, Kingston University, London, CUPE International MEST PROFILE Benefits of improving MEST Profile: Greater market share - through customer focus Improved competitive advantage – by prioritising customer needs Improved customer satisfaction and retention – by ethical implementation Increased productivity – unleashing energy and innovation Operational effectiveness – one team framework implementation Predictable delivery performance – using empirical approaches Reduced cost and rework – fail fast Stronger linkage between strategy and execution – progress plan CI7350: Agile Project Development 1 MEST PROFILE LEVELS School of Computer Science and Mathematics, Kingston University, London, CUPE International [email protected] Organisational commitment with an organisational progress plan in place Level 4 - Managed or Planned at corporate level Level 2 - Reactive or Planned in initiative(s).

The network understands what progress means for each organisation and the part they play in delivering progress successfully Level 5 – Optimised, continually improved with network learning Goals for progress are set and the department is committed. Level 3 - Proactive or Planned in Department(s) - or divisions of large organisations Level 1 - Ad hoc No commitment to progress, even if committed to changes A goal for progress is set with team commitment. No allocation of resources, despite a plan for change . CI7350: Agile Project Development 1 School of Computer Science and Mathematics, Kingston University, London, CUPE International [email protected] MEST PROFILE RESULT Recommend: Explore tools which can automate some of the areas to increase throughput Monitor the skills of those administering vaccines & provide support to them ELEMENT Mass Vaccination E.g.

Explanation Mindset Level 5 Everyone involved wants to do it urgently Energyset Level 5 Despite lockdown lethargy people are energised and want to do it Skillset Level 3 All those involved are trained for the roles they need to fulfil Toolset Level 3 Tools are available, although more automation would help Total Score Level 4 Good score reflects the mindset & energyset leading the delivery to overcome any obstacles of skills or tools. Requirements Engineering 55 © Metadata Training Yorkies vision statement • For customers and potential customers who want to rent load - carrying vehicles, the Internet booking system is an information system that will enable Internet users to check the vehicle availability, cost, and driver availability for rentals; book and make credit card payments.

This system will hold details of vehicles, drivers, depots, and maintain a history of vehicle movements. The system will manage the invoicing and payments of account customers. The system will increase booking revenue by 20 % and decrease administration costs by 10% in the first year of use. Unlike the current manual booking process our system will enable customers to obtain immediate feedback on availability and book one -way hires. Requirements Engineering 57 © Metadata Training Project Scope - Context Diagram Fleet Maintenance YORKIES Bookings Invoicing Drivers Vehicles New Vehicle Documents Driver Availability Booking Confirmation Booking Request Internet User Drivers / Agencies Vehicle out of service Instructions Invoice Payment Driver Hours Agency Days Payroll Requirements Engineering 62 © Metadata Training Costs and Benefits • Compare expected cost of development and operation with the benefits of having the system in operation • Do estimated income and other benefits exceed estimated costs? • Try to estimate everything in financial terms – Need to ensure that the project is a better investment than the bank – Known as Cost Benefit Analysis (CBA) or Return On Investment (ROI) • In theory, most objective way to compare merits of options • Many organisations require full Cost Benefit Analysis before committing to any project Requirements Engineering 63 © Metadata Training The Project Profit & Loss Statement • Usually developed for a 5 year timeframe • Includes incremental revenue • Project related costs – Development and implementation – On - going support and maintenance • Project related expense savings and other benefits • Net return from project Requirements Engineering 64 © Metadata Training Costs • Development costs – Salaries of all staff involved in the development Developers and users – External supplier costs – Software costs • Setup costs – Hardware and ancillary equipment – Data Conversion – Staff training and retraining – Recruitment – Relocation – Disruption and loss of productivity • Operating costs – Staff – Consumerables – Support – Maintenance Requirements Engineering 65 © Metadata Training Benefits • Direct benefits – Reduction in staff costs through job losses, overtime reduction, increased workload, reduced accommodation costs – Increased sales – Fewer product returns / complaints – Reduced maintenance costs – Increased production capacity / faster throughput • Compliance benefits • Can estimate financial values – But very dependent on assumptions Requirements Engineering 66 © Metadata Training Intangible benefits • How can you quantify? – improved product quality – improved service to customers – improved customer loyalty – better brand awareness – greater job satisfaction for employees – improved management information • If you can’t measure it, you can’t improve it Requirements Engineering 120 © Metadata Training Example: Requirements Catalogue Entry Source Priority Owner Reqt ID FR 1.2 L.O.

Booking Must Booking Mgr . Enquire Vehicle Availability The internet user shall be able to check availability of a particular vehicle category at a particular local office for a specific range of dates. . Functional requirement Business Activity Booking of Vehicles Benefits Comments/suggested solutions Related documents Related requirements Resolution Will enable any office to take a booking - estimate 10% of potential bookings lost because unable to confirm to customer. On -line access to central database Use Case: Make Booking Class Model Booking - Vehicle Category - Local Office FR 1. 1 Make Booking Included in Release 1 Requirements Engineering 121 © Metadata Training Requirements Catalogue – part 2: non - functional component Non -functional requirement(s) Description Target value Acceptable range Comments Service hours 08...00 Mon - Sat Mon - Sat Response time 5 seconds seconds Customer on telephone Ease of use 30 mins formal training May use temporary staff Requirements Engineering 161 © Metadata Training Use Case Diagram ATM Manager Teller Customer actor communicate use case system boundary • Diagram shows use case classes and actors – Helps gain overall picture of systems functionality/user requirements – Show system boundary • Most useful is what is underneath the diagram • Use structured text to describe interactions between system and its actors Noddy ’ s Bank arrange loan close account perform transaction open account Requirements Engineering 165 © Metadata Training Yorkies Use Case Diagram Requirements Engineering 209 © Metadata Training Hospital Class Model grossly simplified Requirements Engineering 210 © Metadata Training Yorkies Class Model • Classes – Attributes – Operations (not shown here) • Associations – Link classes together – Cardinality shown here • Drawn with StarUML – a Computer Aided Software Engineering (CASE) tool Requirements Engineering 243 © Metadata Training Problem situation considered problematic Problem situation expressed: rich picture Root definitions of relevant purposeful activity systems Conceptual activity models of systems named in root definitions Comparison of models and real world Changes: systemically desirable, culturally feasible Action to improve the problem situation Real World Systems Thinking about Real World The Steps of Soft Systems Analysis Requirements Engineering 244 © Metadata Training Yorkies Rich Picture Requirements Engineering 245 © Metadata Training Rich Pictures Diagrammatic non - judgemental cartoon - like representation of the real - world situation as we see it.

Contain anything we like to include, providing it is predominantly diagrammatic. For example: Hard information - Factual data and processes. Soft information - Subjective interpretation of situation aspects. Conflict, emotions, gossip, comments etc. Gives an Holistic Impression!

No conventions Requirements Engineering 247 © Metadata Training Add conflicts between personnel and function Problem Owner Managers Users Systems Analysts Systems People Tasks Climate Relationships Rich Picture as output Feedback as discussion aid with problem owner Organization's help as input Problem themes are extracted, problems identified and the problem owner informed of the situation Inform the owner of the problem situation, rather than developing solutions Rich Picture Development Requirements Engineering 249 © Metadata Training Valentino’s Case Study • One of the first computer dating agencies in the UK • New members submit detailed questionnaire and receive 6 matched “dates†by post or email • Website with members area but no online matching • Worried about their market share and continuing profitability – Feeling a bit left behind • You are a team of business analysts – appointed to help them with their IS strategy – to help identify new opportunities 35 • Represent the interactions among the objects of the system – Focus on the timeline of the interactions Requirements Engineering 19 © Metadata Training The Balanced Business Scorecard according to Kaplan & Norton Defined as: “a set of measures that gives top managers a fast but comprehensive view of the business†Measures = Key Performance Indicators Includes: • Financial Measures • Operational Measures ― Customer Satisfaction ― Internal Processes ― Innovation, Learning and Improvement Activities Compare these with Competencies?

Harvard Business Review – January - February • Represent the states of objects and the state transitions 37 • Describe the sequence of activities 38 • Represent the modules of the system and their relationships 39 • Represent the software components and their relationships 40 • Describe how the software is deployed on the hardware Alternative allocation of responsibilities for use case Add a new advert to a campaign 3.1.2: getCampaignDetails() 5.1.1.1: Advert() 4.1.2: getAdvertDetails() 5.1.1: addNewAdvert() :AddAdvertUI :AddAdvert :Client :Campaign :Advert 3.1: showClientCampaigns() 3: selectClient() 4: selectCampaign() 4.1: showCampaignAdverts() 4.1.1: listAdverts() 5: createNewAdvert() 5.1: addNewAdvert() newAd:Advert 2: startInterface() 3.1.1: listCampaigns() 1:getClient() Campaign Manager Drawing a Sequence Diagram ï® Identify possible Participants (classes from the class diagram, actors from use case diagram) ï® Add interface classes between actors and system classes. ï® Draw the interactions between the actor and the interface class (Use Case Scenario) ï® For each interaction, determine how the system classes need to work Sequence Diagram in Practice ï® Consider which purpose the sequence diagram serves ï® Where to compromise between Powerful UML notation – Need for simplicity • Can be used for Software Blue Prints • Ready to be translated to Code • Full UML notation used • Keep diagrams readable • Can be more abstract • A4 page • If diagram too complicate, split it using the ref frame Sequence diagrams in Unified Process ï® System Sequence Diagrams to visualise use cases scenarios (requirements analysis, elaboration phase) ï® Sequence Diagrams to design solutions for use case scenarios (design in elaboration or construction phase) ï® Produced in parallel with Design model class diagrams 14 Requirements Engineering 27 © Metadata Training SWOT analysis • Strengths • Weaknesses • Opportunities • Threats • Strength and Weaknesses normally emerge from the internal analysis • Opportunities and Threats from external analysis • Can be applied at all levels – provides useful summary of the position of the industry, organisation, department, system or project 33 • Represent the objects of the system and their relationships Assignment 2 Linear Regression Predicting Car MPG The goal of this assignment is to help you understand the concepts of regression through having hands-on experience with training and applying regression models. You are given a dataset of car attributes and their gas consumption in MPG (Mile Per Gallon). Your task is to build a regression model that can predict a car’s MPG given its attributes. Car MPG dataset: The dataset consists of 393 car models, their attributes and their MPG. The columns in the data set are as follows: 1. Car Model Name 2. MPG - Miles Per Gallon. This is the value that we want to predict 3. Number of cylinders 4. Engine Displacement 5. Engine Horse Power 6. Car Weight 7. Acceleration (time needed to reach a speed of 60 miles/hour) 8. Model Year 9. Origin Tasks: ï‚· Create a Jupyter Notebook that shows how you do the following in python: 1. Load the data from the csv file using Pandas 2. Preview/print the top 10 rows of the data 3. Create the Features matrix (columns 3-9 above – i.e. exclude the model_name and the mpg columns) 4. Create the Labels vector (the mpg column) 5. Plot the relationship between each of the features and the label mpg on a scatter chart. This will be a total of 7 charts. 6. Normalize the features using the StandardScaler class of the sklearn.preprocessing package 7. Split the data into training and test data using the cross_validation class of sklearn 8. Train a regression model on the training subset using the SGDRegressor class of the sklearn.linear_models package. Set the number of iterations of the learner to be 500 iterations. Perform the training as follows:  Train a model using one feature at a time. For example, train a model using the cylinders feature only, then train a model using the displacement feature only, and so on.  Then, train a model using all the features altogether. 9. For each of the models trained in step 8, apply the model to the test subset and then compute the r2_score, the mean_squared_error, and the mean_absolute_error scores for the predictions of each model trained above. 10. Train a model using all features for 500 iterations while setting the regularization type (penalty) to ‘l1’ instead of the default ‘l2’. Apply the model to the test data and compute the evaluation metrics as in step 9. 11. Train a model using all features for 500 iterations with ‘l2’ regularization and an initial learning rate (eta0) set to 10.0. Compute the evaluation metrics as in step 9. What to submit 1. Submit the Jupyter Notebook that shows all your work exactly as described above. Your notebook should include section headers and descriptive text that explains what you are doing at each step (follow the style of the notebooks we develop at class.) Submit your jyputer notebook both in .ipynb format and also HTML format. To produce the HTML format: File > Download AS > HTML (.html). 2. Submit a document in PDF format that shows the results of the experiments you ran in steps 8 to 11 above. The results should be shown in one table similar to the following: Features Used Non-default params R2 score Mean Squared Error Mean Absolute Error Cylinders Iter = 500 Displacement Iter = 500 Horsepower Iter = 500 Weight Iter = 500 Acceleration Iter = 500 Year Iter = 500 Origin Iter = 500 All Features Iter = 500 All Features Iter = 500, penalty = l1 All Features Iter = 500, eta0 = 10