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

Download the Toolkit and in Three Steps you will be guided from idea to implementation results.

 

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The Toolkit contains the following practical and powerful enablers with new and updated Big Data to Knowledge specific requirements:

STEP 1: Get your bearings

Start with…

  • The latest quick edition of the Big Data to Knowledge 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 677 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Big Data to Knowledge improvements can be made.

Examples; 10 of the 677 standard requirements:

  1. How will the Big Data to Knowledge team and the group measure complete success of Big Data to Knowledge?

  2. Among the Big Data to Knowledge product and service cost to be estimated, which is considered hardest to estimate?

  3. How do we decide how much to remunerate an employee?

  4. How Will We Measure Success?

  5. If you could go back in time five years, what decision would you make differently? What is your best guess as to what decision you’re making today you might regret five years from now?

  6. When are meeting minutes sent out? Who is on the distribution list?

  7. Is Big Data to Knowledge Realistic, or are you setting yourself up for failure?

  8. Are we taking our company in the direction of better and revenue or cheaper and cost?

  9. Is the implementation plan designed?

  10. What are the boundaries of the scope? What is in bounds and what is not? What is the start point? What is the stop point?

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 Big Data to Knowledge book in PDF containing 677 requirements, which criteria correspond to the criteria in…

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

  • 62 step-by-step Big Data to Knowledge Project Management Form Templates covering over 6000 Big Data to Knowledge project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Probability and Impact Matrix: Management -what contingency plans do you have if the risk becomes a reality?
  2. Activity Duration Estimates: Given your research into similar classes and the work you think is required for this Big Data to Knowledge project, what assumptions, variables, or costs would you change from the information provided above?
  3. Decision Log: So, what is the line where eDiscovery ends and document review begins?
  4. Quality Management Plan: How do you decide what information needs to be recorded?
  5. Decision Log: Do strategies and tactics aimed at less than full control reduce the costs of management or simply shift the cost burden?
  6. Cost Management Plan: Is the Big Data to Knowledge project Sponsor clearly communicating the Business Case or rationale for why this Big Data to Knowledge project is needed?
  7. Cost Management Plan: Is PERT / Critical Path or equivalent methodology being used?
  8. Team Member Status Report: Does every department have to have a Big Data to Knowledge project Manager on staff?
  9. Stakeholder Management Plan: Are changes in deliverable commitments agreed to by all affected groups & individuals?
  10. Initiating Process Group: Realistic – Are the desired results expressed in a way that the team will be motivated and believe that the required level of involvement will be obtained?

 
Step-by-step and complete Big Data to Knowledge Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:

  • 1.1 Big Data to Knowledge project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix

2.0 Planning Process Group:

  • 2.1 Big Data to Knowledge project Management Plan
  • 2.2 Scope Management Plan
  • 2.3 Requirements Management Plan
  • 2.4 Requirements Documentation
  • 2.5 Requirements Traceability Matrix
  • 2.6 Big Data to Knowledge 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 Big Data to Knowledge 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 Big Data to Knowledge 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 Big Data to Knowledge 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 Big Data to Knowledge project with this in-depth Big Data to Knowledge Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Big Data to Knowledge 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 Big Data to Knowledge 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 Big Data to Knowledge investments work better.

This Big Data to Knowledge All-Inclusive Toolkit enables You to be that person:

 

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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.