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The Art of Service Standard Requirements Self Assessments

Semi-structured data Toolkit: best-practice templates, step-by-step work plans and maturity diagnostics

$249.00

Semi-structured data Toolkit: best-practice templates, step-by-step work plans and maturity diagnostics

$249.00

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Product Description

Save time, empower your teams and effectively upgrade your processes with access to this practical Semi-structured data Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Semi-structured 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 Semi-structured data specific requirements:


STEP 1: Get your bearings

Start with...

  • The latest quick edition of the Semi-structured 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 682 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Semi-structured data improvements can be made.

Examples; 10 of the 682 standard requirements:

  1. How will effects be measured?

  2. What evidence is there and what is measured?

  3. How do we ensure that implementations of Semi-structured data products are done in a way that ensures safety?

  4. What is the teams contingency plan for potential problems occurring in implementation?

  5. Are we making progress? and are we making progress as Semi-structured data leaders?

  6. What is our question?

  7. Do we have the right capabilities and capacities?

  8. How will you know that the Semi-structured data project has been successful?

  9. Are different versions of process maps needed to account for the different types of inputs?

  10. Have the types of risks that may impact Semi-structured data been identified and analyzed?


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 Semi-structured data book in PDF containing 682 requirements, which criteria correspond to the criteria in...

Your Semi-structured 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 Semi-structured data Self-Assessment and Scorecard you will develop a clear picture of which Semi-structured 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 Semi-structured 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 Semi-structured data projects with the 62 implementation resources:

  • 62 step-by-step Semi-structured data Project Management Form Templates covering over 6000 Semi-structured data project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Risk Management Plan: Are there new risks that mitigation strategies might introduce?

  2. Earned Value Status: If earned value management (EVM) is so good in determining the true status of a Semi-structured data project and Semi-structured data project its completion, why is it that hardly any one uses it in information systems related Semi-structured data projects?

  3. Executing Process Group: What factors are contributing to progress or delay in the achievement of products and results?

  4. Probability and Impact Assessment: Which of such risk factors can be avoided altogether?

  5. Procurement Management Plan: Is quality monitored from the perspective of the customers needs and expectations?

  6. Initiating Process Group: The process to Manage Stakeholders is part of which process group?

  7. Requirements Management Plan: Do you have an agreed upon process for alerting the Semi-structured data project Manager if a request for change in requirements leads to a product scope change?

  8. Cost Management Plan: Was the Semi-structured data project schedule reviewed by all stakeholders and formally accepted?

  9. Team Performance Assessment: Social categorization and intergroup behaviour: Does minimal intergroup discrimination make social identity more positive?

  10. Activity Cost Estimates: Padding is bad and contingencies are good. Whats the difference?

 
Step-by-step and complete Semi-structured data Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:

  • 1.1 Semi-structured data project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:

  • 2.1 Semi-structured 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 Semi-structured 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 Semi-structured 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 Semi-structured 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 Semi-structured data project or Phase Close-Out
  • 5.4 Lessons Learned

 

Results

With this Three Step process you will have all the tools you need for any Semi-structured data project with this in-depth Semi-structured data Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Semi-structured 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 Semi-structured 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 Semi-structured data investments work better.

This Semi-structured 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.

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