Save time, empower your teams and effectively upgrade your processes with access to this practical Computational statistics Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Computational statistics 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 Computational statistics specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Computational statistics 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 877 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Computational statistics improvements can be made.
Examples; 10 of the 877 standard requirements:
- How will you know when its improved?
- Does the practice systematically track and analyze outcomes related for accountability and quality improvement?
- Has the direction changed at all during the course of Computational statistics? If so, when did it change and why?
- Are there any constraints known that bear on the ability to perform Computational statistics work? How is the team addressing them?
- Is the scope of Computational statistics defined?
- Will it solve real problems?
- Is long term and short term variability accounted for?
- How do we ensure that implementations of Computational statistics products are done in a way that ensures safety?
- In the past few months, what is the smallest change we have made that has had the biggest positive result? What was it about that small change that produced the large return?
- Is there a completed, verified, and validated high-level ‘as is’ (not ‘should be’ or ‘could be’) stakeholder process map?
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 Computational statistics book in PDF containing 877 requirements, which criteria correspond to the criteria in…
Your Computational statistics 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 Computational statistics Self-Assessment and Scorecard you will develop a clear picture of which Computational statistics 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 Computational statistics 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 Computational statistics projects with the 62 implementation resources:
- 62 step-by-step Computational statistics Project Management Form Templates covering over 6000 Computational statistics project requirements and success criteria:
Examples; 10 of the check box criteria:
- Risk Register: Cost/Benefit – How much will the proposed mitigations cost and how does this cost compare with the potential cost of the risk event/situation should it occur?
- Human Resource Management Plan: Is the Computational statistics project schedule available for all Computational statistics project team members to review?
- Stakeholder Analysis Matrix: What coalitions might build around the issues being tackled?
- Risk Management Plan: Are there risks to human health or the environment that need to be controlled or mitigated?
- Project Schedule: How can you minimize or control changes to Computational statistics project schedules?
- Stakeholder Analysis Matrix: Are they likely to influence the success or failure of your Computational statistics project?
- Stakeholder Management Plan: Have the key elements of a coherent Computational statistics project management strategy been established?
- Roles and Responsibilities: Are governance roles and responsibilities documented?
- Duration Estimating Worksheet: Is a Construction detail attached (to aid in explanation)?
- Team Member Performance Assessment: How do you work together to improve teaching and learning?
Step-by-step and complete Computational statistics Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Computational statistics project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Computational statistics project Management Plan
- 2.2 Scope Management Plan
- 2.3 Requirements Management Plan
- 2.4 Requirements Documentation
- 2.5 Requirements Traceability Matrix
- 2.6 Computational statistics 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 Computational statistics 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 Computational statistics 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 Computational statistics project or Phase Close-Out
- 5.4 Lessons Learned
With this Three Step process you will have all the tools you need for any Computational statistics project with this in-depth Computational statistics Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Computational statistics 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 Computational statistics 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 Computational statistics investments work better.
This Computational statistics 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.