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The Art of Service Standard Requirements Self Assessments

Data Mining Extensions Toolkit: best-practice templates, step-by-step work plans and maturity diagnostics

$249.00

Data Mining Extensions Toolkit: best-practice templates, step-by-step work plans and maturity diagnostics

$249.00

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Product Description

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


STEP 1: Get your bearings

Start with...

  • The latest quick edition of the Data Mining Extensions 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 680 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 Mining Extensions improvements can be made.

Examples; 10 of the 680 standard requirements:

  1. Who is going to care?

  2. How will we insure seamless interoperability of Data Mining Extensions moving forward?

  3. How do you stay inspired?

  4. How do we measure risk?

  5. Do we think we know, or do we know we know ?

  6. What potential megatrends could make our business model obsolete?

  7. Explorations of the frontiers of Data Mining Extensions will help you build influence, improve Data Mining Extensions, optimize decision making, and sustain change

  8. How do you measure progress and evaluate training effectiveness?

  9. When is/was the Data Mining Extensions start date?

  10. What one word do we want to own in the minds of our customers, employees, and partners?


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 Mining Extensions book in PDF containing 680 requirements, which criteria correspond to the criteria in...

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

  • 62 step-by-step Data Mining Extensions Project Management Form Templates covering over 6000 Data Mining Extensions project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Stakeholder Analysis Matrix: What institutional arrangements are planned to ensure the Data Mining Extensions project achieves its social development outcomes?

  2. Source Selection Criteria: Is the contracting office likely to receive more purchase requests for this item or service during the coming year?

  3. Procurement Audit: Has the expected benefits from realisation of the procurement Data Mining Extensions project been calculated?

  4. Activity Duration Estimates: Explain the make-or-buy process and how to perform the financial calculations involved in the process. What are the main types of contracts if you do decide to outsource?

  5. Procurement Audit: Is the purchase order form clear and complete so that the vendor understands all terms and conditions?

  6. Team Operating Agreement: Are there more than two native languages represented by your team?

  7. Human Resource Management Plan: Is Data Mining Extensions project status reviewed with the steering and executive teams at appropriate intervals?

  8. Cost Management Plan: Is the firm certified as a broker of the products/supplies?

  9. Team Operating Agreement: Do you brief absent members after they view meeting notes or listen to a recording?

  10. Human Resource Management Plan: Is a PMO (Data Mining Extensions project Management Office) in place and provide oversight to the Data Mining Extensions project?

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

1.0 Initiating Process Group:

  • 1.1 Data Mining Extensions project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:

  • 2.1 Data Mining Extensions 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 Mining Extensions 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 Mining Extensions 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 Mining Extensions 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 Mining Extensions 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 Mining Extensions project with this in-depth Data Mining Extensions Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Data Mining Extensions 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 Mining Extensions 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 Mining Extensions investments work better.

This Data Mining Extensions 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.

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