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The Art of Service Standard Requirements Self Assessments

Data-driven programming Toolkit: best-practice templates, step-by-step work plans and maturity diagnostics

$249.00

Data-driven programming 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 Data-driven programming Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Data-driven programming 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 Data-driven programming specific requirements:


STEP 1: Get your bearings

Start with...

  • The latest quick edition of the Data-driven programming 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 685 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data-driven programming improvements can be made.

Examples; 10 of the 685 standard requirements:

  1. Are there Data-driven programming problems defined?

  2. Have you identified your Data-driven programming key performance indicators?

  3. Were lessons learned captured and communicated?

  4. Is new knowledge gained imbedded in the response plan?

  5. Do you, as a leader, bounce back quickly from setbacks?

  6. What new services of functionality will be implemented next with Data-driven programming ?

  7. How significant is the improvement in the eyes of the end user?

  8. Consider your own Data-driven programming project. what types of organizational problems do you think might be causing or affecting your problem, based on the work done so far?

  9. Have specific policy objectives been defined?

  10. Have the concerns of stakeholders to help identify and define potential barriers been obtained 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 Data-driven programming book in PDF containing 685 requirements, which criteria correspond to the criteria in...

Your Data-driven programming 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 Data-driven programming Self-Assessment and Scorecard you will develop a clear picture of which Data-driven programming 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 Data-driven programming 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 Data-driven programming projects with the 62 implementation resources:

  • 62 step-by-step Data-driven programming Project Management Form Templates covering over 6000 Data-driven programming project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Responsibility Assignment Matrix: Do work packages consist of discrete tasks which are adequately described?

  2. Lessons Learned: Why does the organization need a lessons learned (LL) capability?

  3. Quality Audit: Do the acceptance procedures and specifications include the criteria for acceptance/rejection, define the process to be used, and specify the measuring and test equipment that is to be used?

  4. Team Performance Assessment: To what degree does the teams purpose contain themes that are particularly meaningful and memorable?

  5. Procurement Audit: When such references were made, was a precise description of the performance not otherwise possible and were those references accompanied by the words or equivalent?

  6. Responsibility Assignment Matrix: Does a missing responsibility indicate that the current Data-driven programming project is not yet fully understood?

  7. Lessons Learned: How much flexibility is there in the funding (e.g., what authorities does the program manager have to change to the specifics of the funding within the overall funding ceiling)?

  8. Planning Process Group: Product Breakdown Structure (PBS): what is the Data-driven programming project result or product, and how should it look like, what are its parts?

  9. Probability and Impact Assessment: What should be the requirement of organizational restructuring as each subData-driven programming project goes through a different lifecycle phase?

  10. Probability and Impact Matrix: Does the Data-driven programming project team have experience with the technology to be implemented?

 
Step-by-step and complete Data-driven programming Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:

  • 1.1 Data-driven programming project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:

  • 2.1 Data-driven programming project Management Plan
  • 2.2 Scope Management Plan
  • 2.3 Requirements Management Plan
  • 2.4 Requirements Documentation
  • 2.5 Requirements Traceability Matrix
  • 2.6 Data-driven programming 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 Data-driven programming 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 Data-driven programming 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 Data-driven programming 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 Data-driven programming project with this in-depth Data-driven programming Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Data-driven programming 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 Data-driven programming 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 Data-driven programming investments work better.

This Data-driven programming 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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