Save time, empower your teams and effectively upgrade your processes with access to this practical Data collection Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Data collection 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 collection specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Data collection 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 668 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 collection improvements can be made.
Examples; 10 of the 668 standard requirements:
- Were changes made during the file extract period to how the data are processed, such as changes to mode of data collection, changes to instructions for completing the application form, changes to the edit, changes to classification codes, or changes to the query system used to retrieve the data?
- Traditional data protection principles include fair and lawful data processing; data collection for specified, explicit, and legitimate purposes; accurate and kept up-to-date data; data retention for no longer than necessary. Are additional principles and requirements necessary for IoT applications?
- Does the design of the program/projects overall data collection and reporting system ensure that, if implemented as planned, it will collect and report quality data?
- It raises issues of stewardship of highly valued data; for example, what data should be saved, how does one save it, and how does one maintain an important data collection?
- How is source data collected (paper questionnaire, computer assisted person interview, computer assisted telephone interview, web data collection form)?
- What should I consider in selecting the most resource-effective data collection design that will satisfy all of my performance or acceptance criteria?
- What ideas do you have to address privacy concerns related to surveillance equipment, data collection, data management protocols, and operational protocols?
- Is it understood that the risk management effectiveness critically depends on data collection, analysis and dissemination of relevant data?
- Does your technology use a well-rounded approach to mobile user data collection that addresses both cookie-based and cookieless environments?
- Are we collecting data once and using it many times, or duplicating data collection efforts and submerging data in silos?
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 collection book in PDF containing 668 requirements, which criteria correspond to the criteria in...
Your Data collection 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 collection Self-Assessment and Scorecard you will develop a clear picture of which Data collection 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 collection 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 collection projects with the 62 implementation resources:
- 62 step-by-step Data collection Project Management Form Templates covering over 6000 Data collection project requirements and success criteria:
Examples; 10 of the check box criteria:
- Activity Duration Estimates: Is the Data collection project performing better or worse than planned?
- Requirements Management Plan: When and how will a requirements baseline be established in this Data collection project?
- Change Management Plan: Is there support for this application(s) and are the details available for distribution?
- Procurement Audit: How do you confirm whether the contracted firm supplied the goods or executed the work as per the quality, quantity and price indicated in the contract agreement/ supply order?
- Risk Audit: Is an annual audit required and conducted of your financial records?
- WBS Dictionary: Identify potential or actual budget-based and time-based schedule variances?
- Roles and Responsibilities: Are Data collection project team roles and responsibilities identified and documented?
- Responsibility Assignment Matrix: Does the contractor use objective results, design reviews, and tests to trace schedule?
- Risk Management Plan: Risk Categories: What are the main categories of risks that should be addressed on this Data collection project?
- Stakeholder Management Plan: Are the people assigned to the Data collection project sufficiently qualified?
Step-by-step and complete Data collection Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Data collection project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data collection 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 collection 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 collection 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 collection 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 collection project or Phase Close-Out
- 5.4 Lessons Learned
With this Three Step process you will have all the tools you need for any Data collection project with this in-depth Data collection Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Data collection 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 collection 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 collection investments work better.
This Data collection 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.