Data for Good Toolkit

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


STEP 1: Get your bearings

Start with...

  • The latest quick edition of the Data for Good 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 998 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 for Good improvements can be made.

Examples; 10 of the 998 standard requirements:

  1. How do you design evaluations that are useful for organizations and still provide information that can be compared to other interventions?

  2. What is the biggest challenge for your organization, currently, when it comes to collecting and/or using data for your work?

  3. How do you feel about the group performance, can it be improved, are interactions effective and is the project well managed?

  4. How do you ensure that information collected by multiple stakeholders in the sector can be usefully aggregated?

  5. What are the legal tools that researchers can use to gain access and reuse rights in the context of research?

  6. What benefits or policies should employers consider to increase the chance that dependent employees recover?

  7. How can information from separate organizations be made available in one place in order to allow analysis?

  8. Will your organization have info systems in place to manage rapidly changing prices, costs, and markets?

  9. Have you identified the ecosystem of actors vital to your solution and important areas for cooperation?

  10. Does your organization identify any other mandatory cyber security standards that apply to its systems?


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 for Good book in PDF containing 998 requirements, which criteria correspond to the criteria in...

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

  • 62 step-by-step Data for Good Project Management Form Templates covering over 1500 Data for Good project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Stakeholder Analysis Matrix: Who will promote/support the Data for Good project, provided that they are involved?

  2. Project Management Plan: Has the selected plan been formulated using cost effectiveness and incremental analysis techniques?

  3. Risk Audit: Have reasonable steps been taken to reduce the risks to acceptable levels?

  4. Project Management Plan: How can you best help your organization to develop consistent practices in Data for Good project management planning stages?

  5. Procurement Audit: Were all interested operators allowed the opportunity to participate?

  6. Activity Duration Estimates: Is a standard form used to obtain bids and proposals from prospective sellers?

  7. Procurement Audit: Was the estimation of contract value in accordance with the criteria fixed in the Directive?

  8. Stakeholder Analysis Matrix: Who is directly responsible for decisions on issues important to the Data for Good project?

  9. Procurement Audit: Do procedures require cash advances to be returned by transferred or terminated employees before they can receive final paychecks?

  10. Stakeholder Management Plan: Are the people assigned to the Data for Good project sufficiently qualified?

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

1.0 Initiating Process Group:

  • 1.1 Data for Good project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:

  • 2.1 Data for Good 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 for Good 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 for Good 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 for Good 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 for Good 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 for Good project with this in-depth Data for Good Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Data for Good 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 for Good 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 for Good investments work better.

This Data for Good 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.