Save time, empower your teams and effectively upgrade your processes with access to this practical Machine-readable data Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Machine-readable data 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 Machine-readable data specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Machine-readable data 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 660 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Machine-readable data improvements can be made.
Examples; 10 of the 660 standard requirements:
- How will we know if we have been successful?
- How does the team improve its work?
- Where is our petri dish?
- What are internal and external Machine-readable data relations?
- Are we relevant? Will we be relevant five years from now? Ten?
- What kind of crime could a potential new hire have committed that would not only not disqualify him/her from being hired by our organization, but would actually indicate that he/she might be a particularly good fit?
- What business benefits will Machine-readable data goals deliver if achieved?
- Are we making progress? and are we making progress as Machine-readable data leaders?
- Who is the Machine-readable data process owner?
- What tools were most useful during the improve phase?
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 Machine-readable data book in PDF containing 660 requirements, which criteria correspond to the criteria in…
Your Machine-readable data 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 Machine-readable data Self-Assessment and Scorecard you will develop a clear picture of which Machine-readable data 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 Machine-readable data 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 Machine-readable data projects with the 62 implementation resources:
- 62 step-by-step Machine-readable data Project Management Form Templates covering over 6000 Machine-readable data project requirements and success criteria:
Examples; 10 of the check box criteria:
- Risk Audit: Is the number of people on the Machine-readable data project team adequate to do the job?
- Risk Register: What risks might negatively or positively affect achieving the Machine-readable data project objectives?
- Quality Management Plan: Have adequate resources been provided by management to ensure Machine-readable data project success?
- Human Resource Management Plan: Is it standard practice to formally commit stakeholders to the Machine-readable data project via agreements?
- WBS Dictionary: The total budget for the contract (including estimates for authorized but unpriced work)?
- Lessons Learned: Is there a clear cause and effect between the activity and the lesson learned?
- Communications Management Plan: Who have you worked with in past, similar initiatives?
- Closing Process Group: What were things that you did well, but could improve, and how?
- Team Member Performance Assessment: What were the challenges that resulted for training and assessment?
- Formal Acceptance: How does your team plan to obtain formal acceptance on your Machine-readable data project?
Step-by-step and complete Machine-readable data Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Machine-readable data project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Machine-readable data project Management Plan
- 2.2 Scope Management Plan
- 2.3 Requirements Management Plan
- 2.4 Requirements Documentation
- 2.5 Requirements Traceability Matrix
- 2.6 Machine-readable data 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 Machine-readable data 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 Machine-readable data 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 Machine-readable data project or Phase Close-Out
- 5.4 Lessons Learned
With this Three Step process you will have all the tools you need for any Machine-readable data project with this in-depth Machine-readable data Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Machine-readable data 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 Machine-readable data 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 Machine-readable data investments work better.
This Machine-readable data 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.