Save time, empower your teams and effectively upgrade your processes with access to this practical Data classification (data management) Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Data classification (data management) 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 classification (data management) specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Data classification (data management) 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 675 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 classification (data management) improvements can be made.
Examples; 10 of the 675 standard requirements:
- Is the scope of Data classification (data management) defined?
- If substitutes have been appointed, have they been briefed on the Data classification (data management) goals and received regular communications as to the progress to date?
- If you had to rebuild your organization without any traditional competitive advantages (i.e., no killer a technology, promising research, innovative product/service delivery model, etc.), how would your people have to approach their work and collaborate together in order to create the necessary conditions for success?
- Are we changing as fast as the world around us?
- Identify an operational issue in your organization. for example, could a particular task be done more quickly or more efficiently?
- How frequently do you track Data classification (data management) measures?
- How do we manage Data classification (data management) Knowledge Management (KM)?
- What potential megatrends could make our business model obsolete?
- Are we taking our company in the direction of better and revenue or cheaper and cost?
- Do the problem and goal statements meet the SMART criteria (specific, measurable, attainable, relevant, and time-bound)?
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 classification (data management) book in PDF containing 675 requirements, which criteria correspond to the criteria in...
Your Data classification (data management) 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 classification (data management) Self-Assessment and Scorecard you will develop a clear picture of which Data classification (data management) 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 classification (data management) 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 classification (data management) projects with the 62 implementation resources:
- 62 step-by-step Data classification (data management) Project Management Form Templates covering over 6000 Data classification (data management) project requirements and success criteria:
Examples; 10 of the check box criteria:
- Procurement Audit: Is there a general policy on approval of purchases?
- Assumption and Constraint Log: Contradictory information between different documents?
- Team Member Performance Assessment: Where can team members go for more detailed information on performance measurement and assessment?
- Project Performance Report: To what degree is the team cognizant of small wins to be celebrated along the way?
- Decision Log: How does an increasing emphasis on cost containment influence the strategies and tactics used?
- WBS Dictionary: All CWBS elements specified for external reporting?
- Milestone List: It is to be a narrative text providing the crucial aspects of your Data classification (data management) project proposal answering what, who, how, when and where?
- Project Charter: Customer Benefits: What customer requirements does this Data classification (data management) project address?
- Schedule Management Plan: Is it standard practice to formally commit stakeholders to the Data classification (data management) project via agreements?
- Probability and Impact Matrix: Sensitivity Analysis -Which risks will have the most impact on the Data classification (data management) project?
Step-by-step and complete Data classification (data management) Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Data classification (data management) project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data classification (data management) 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 classification (data management) 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 classification (data management) 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 classification (data management) 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 classification (data management) 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 classification (data management) project with this in-depth Data classification (data management) Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Data classification (data management) 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 classification (data management) 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 classification (data management) investments work better.
This Data classification (data management) 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.