Save time, empower your teams and effectively upgrade your processes with access to this practical Computer Vision in Smart Cities Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Computer Vision in Smart Cities related project.
Download the Toolkit and in Three Steps you will be guided from idea to implementation results.
The Toolkit contains the following practical and powerful enablers with new and updated Computer Vision in Smart Cities specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Computer Vision in Smart Cities Self Assessment book in PDF containing 49 requirements to perform a quickscan, get an overview and share with stakeholders.
Organized in a data driven improvement cycle RDMAICS (Recognize, Define, Measure, Analyze, Improve, Control and Sustain), check the…
- Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation
Then find your goals…
STEP 2: Set concrete goals, tasks, dates and numbers you can track
Featuring 869 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Computer Vision in Smart Cities improvements can be made.
Examples; 10 of the 869 standard requirements:
- What is an unallowable cost?
- Did any value-added analysis or ‘lean thinking’ take place to identify some of the gaps shown on the ‘as is’ process map?
- How much contingency will be available in the budget?
- Are roles and responsibilities formally defined?
- What are the basics of Computer Vision in Smart Cities fraud?
- How will you know that the Computer Vision in Smart Cities project has been successful?
- Are there any constraints known that bear on the ability to perform Computer Vision in Smart Cities work? How is the team addressing them?
- Think about the functions involved in your Computer Vision in Smart Cities project. what processes flow from these functions?
- Would you rather sell to knowledgeable and informed customers or to uninformed customers?
- Has the improved process and its steps been standardized?
Complete the self assessment, on your own or with a team in a workshop setting. Use the workbook together with the self assessment requirements spreadsheet:
- The workbook is the latest in-depth complete edition of the Computer Vision in Smart Cities book in PDF containing 869 requirements, which criteria correspond to the criteria in…
Your Computer Vision in Smart Cities self-assessment dashboard which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next:
- The Self-Assessment Excel Dashboard; with the Computer Vision in Smart Cities Self-Assessment and Scorecard you will develop a clear picture of which Computer Vision in Smart Cities areas need attention, which requirements you should focus on and who will be responsible for them:
- Shows your organization instant insight in areas for improvement: Auto generates reports, radar chart for maturity assessment, insights per process and participant and bespoke, ready to use, RACI Matrix
- Gives you a professional Dashboard to guide and perform a thorough Computer Vision in Smart Cities Self-Assessment
- Is secure: Ensures offline data protection of your Self-Assessment results
- Dynamically prioritized projects-ready RACI Matrix shows your organization exactly what to do next:
STEP 3: Implement, Track, follow up and revise strategy
The outcomes of STEP 2, the self assessment, are the inputs for STEP 3; Start and manage Computer Vision in Smart Cities projects with the 62 implementation resources:
- 62 step-by-step Computer Vision in Smart Cities Project Management Form Templates covering over 6000 Computer Vision in Smart Cities project requirements and success criteria:
Examples; 10 of the check box criteria:
- Lessons Learned: How effective were Best Practices & Lessons Learned from prior Computer Vision in Smart Cities projects utilized in this Computer Vision in Smart Cities project?
- Team Member Performance Assessment: What is used as a basis for instructional decisions?
- Procurement Audit: Are incentives to deliver on time and in quantity properly specified?
- Lessons Learned: What skills did you need that were missing on this Computer Vision in Smart Cities project?
- Human Resource Management Plan: Have the procedures for identifying budget variances been followed?
- Project or Phase Close-Out: What can you do better next time, and what specific actions can you take to improve?
- Risk Audit: Are all managers or operators of the facility or equipment competent or qualified?
- Responsibility Assignment Matrix: Contemplated overhead expenditure for each period based on the best information currently available?
- Initiating Process Group: The Computer Vision in Smart Cities project Managers have maximum authority in which type of organization?
- Probability and Impact Assessment: Why has this particular mode of contracting been chosen?
Step-by-step and complete Computer Vision in Smart Cities Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Computer Vision in Smart Cities project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Computer Vision in Smart Cities project Management Plan
- 2.2 Scope Management Plan
- 2.3 Requirements Management Plan
- 2.4 Requirements Documentation
- 2.5 Requirements Traceability Matrix
- 2.6 Computer Vision in Smart Cities project Scope Statement
- 2.7 Assumption and Constraint Log
- 2.8 Work Breakdown Structure
- 2.9 WBS Dictionary
- 2.10 Schedule Management Plan
- 2.11 Activity List
- 2.12 Activity Attributes
- 2.13 Milestone List
- 2.14 Network Diagram
- 2.15 Activity Resource Requirements
- 2.16 Resource Breakdown Structure
- 2.17 Activity Duration Estimates
- 2.18 Duration Estimating Worksheet
- 2.19 Computer Vision in Smart Cities project Schedule
- 2.20 Cost Management Plan
- 2.21 Activity Cost Estimates
- 2.22 Cost Estimating Worksheet
- 2.23 Cost Baseline
- 2.24 Quality Management Plan
- 2.25 Quality Metrics
- 2.26 Process Improvement Plan
- 2.27 Responsibility Assignment Matrix
- 2.28 Roles and Responsibilities
- 2.29 Human Resource Management Plan
- 2.30 Communications Management Plan
- 2.31 Risk Management Plan
- 2.32 Risk Register
- 2.33 Probability and Impact Assessment
- 2.34 Probability and Impact Matrix
- 2.35 Risk Data Sheet
- 2.36 Procurement Management Plan
- 2.37 Source Selection Criteria
- 2.38 Stakeholder Management Plan
- 2.39 Change Management Plan
3.0 Executing Process Group:
- 3.1 Team Member Status Report
- 3.2 Change Request
- 3.3 Change Log
- 3.4 Decision Log
- 3.5 Quality Audit
- 3.6 Team Directory
- 3.7 Team Operating Agreement
- 3.8 Team Performance Assessment
- 3.9 Team Member Performance Assessment
- 3.10 Issue Log
4.0 Monitoring and Controlling Process Group:
- 4.1 Computer Vision in Smart Cities project Performance Report
- 4.2 Variance Analysis
- 4.3 Earned Value Status
- 4.4 Risk Audit
- 4.5 Contractor Status Report
- 4.6 Formal Acceptance
5.0 Closing Process Group:
- 5.1 Procurement Audit
- 5.2 Contract Close-Out
- 5.3 Computer Vision in Smart Cities project or Phase Close-Out
- 5.4 Lessons Learned
With this Three Step process you will have all the tools you need for any Computer Vision in Smart Cities project with this in-depth Computer Vision in Smart Cities Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Computer Vision in Smart Cities projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices
- Implement evidence-based best practice strategies aligned with overall goals
- Integrate recent advances in Computer Vision in Smart Cities and put process design strategies into practice according to best practice guidelines
Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role; In EVERY company, organization and department.
Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, ‘What are we really trying to accomplish here? And is there a different way to look at it?’
This Toolkit empowers people to do just that – whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc… – they are the people who rule the future. They are the person who asks the right questions to make Computer Vision in Smart Cities investments work better.
This Computer Vision in Smart Cities All-Inclusive Toolkit enables You to be that person:
Includes lifetime updates
Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.