Save time, empower your teams and effectively upgrade your processes with access to this practical Computational genomics Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Computational genomics 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 genomics specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Computational genomics 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 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 genomics improvements can be made.
Examples; 10 of the standard requirements:
- Are customers identified and high impact areas defined?
- Is Computational genomics Required?
- In a project to restructure Computational genomics outcomes, which stakeholders would you involve?
- Is knowledge gained on process shared and institutionalized?
- Is reporting being used or needed?
- How do we link Measurement and Risk?
- How would one define Computational genomics leadership?
- What error proofing will be done to address some of the discrepancies observed in the ‘as is’ process?
- Design Thinking: Integrating Innovation, Computational genomics, and Brand Value
- Who, on the executive team or the board, has spoken to a customer recently?
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 genomics book in PDF containing requirements, which criteria correspond to the criteria in…
Your Computational genomics 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 genomics Self-Assessment and Scorecard you will develop a clear picture of which Computational genomics 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 genomics 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 genomics projects with the 62 implementation resources:
- 62 step-by-step Computational genomics Project Management Form Templates covering over 6000 Computational genomics project requirements and success criteria:
Examples; 10 of the check box criteria:
- Lessons Learned: How well was Computational genomics project status communicated throughout your involvement in the Computational genomics project?
- Lessons Learned: Was sufficient time allocated to review Computational genomics project deliverables?
- Source Selection Criteria: What are the guiding principles for developing an evaluation report?
- Scope Management Plan: Does the detailed work plan match the complexity of tasks with the capabilities of personnel?
- Executing Process Group: Will additional funds be needed for hardware or software?
- Risk Audit: Are these safety and risk management policies posted for all to see?
- Risk Audit: Does your organization have a process for meeting its ongoing taxation obligations?
- Procurement Audit: Are all initial purchase contracts made by the purchasing organization?
- Probability and Impact Matrix: Is the Computational genomics project cutting across the entire organization?
- Project Performance Report: To what degree will the approach capitalize on and enhance the skills of all team members in a manner that takes into consideration other demands on members of the team?
Step-by-step and complete Computational genomics Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Computational genomics project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Computational genomics 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 genomics 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 genomics 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 genomics 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 genomics 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 genomics project with this in-depth Computational genomics Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Computational genomics 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 genomics 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 genomics investments work better.
This Computational genomics 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.