Ontology-based data integration Toolkit: best-practice templates, step-by-step work plans and maturity diagnostics

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


STEP 1: Get your bearings

Start with...

  • The latest quick edition of the Ontology-based data integration 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 Ontology-based data integration improvements can be made.

Examples; 10 of the 668 standard requirements:

  1. How can we become the company that would put us out of business?

  2. Have the problem and goal statements been updated to reflect the additional knowledge gained from the analyze phase?

  3. Has the Ontology-based data integration work been fairly and/or equitably divided and delegated among team members who are qualified and capable to perform the work? Has everyone contributed?

  4. Why is Ontology-based data integration important for you now?

  5. What are the rules and assumptions my industry operates under? What if the opposite were true?

  6. How to deal with Ontology-based data integration Changes?

  7. How does Ontology-based data integration integrate with other stakeholder initiatives?

  8. Who do we think the world wants us to be?

  9. What current systems have to be understood and/or changed?

  10. What training and capacity building actions are needed to implement proposed reforms?


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 Ontology-based data integration book in PDF containing 668 requirements, which criteria correspond to the criteria in...

Your Ontology-based data integration 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 Ontology-based data integration Self-Assessment and Scorecard you will develop a clear picture of which Ontology-based data integration 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 Ontology-based data integration 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 Ontology-based data integration projects with the 62 implementation resources:

  • 62 step-by-step Ontology-based data integration Project Management Form Templates covering over 6000 Ontology-based data integration project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Stakeholder Analysis Matrix: Is there evidence that demonstrates the impact of education on the Ontology-based data integration projects outcomes?

  2. Risk Audit: Do all coaches/instructors/leaders have appropriate and current accreditation?

  3. Change Management Plan: What prerequisite knowledge or training is required?

  4. Quality Management Plan: How do you ensure that your sampling methods and procedures meet your data quality objectives?

  5. Monitoring and Controlling Process Group: What were things that you did very well and want to do the same again on the next Ontology-based data integration project?

  6. Scope Management Plan: Who is responsible for monitoring the Ontology-based data integration project scope to ensure the Ontology-based data integration project remains within the scope baseline?

  7. Responsibility Assignment Matrix: Which Ontology-based data integration project Management Knowledge Area is Least Mature?

  8. Procurement Audit: Are goods generally ordered and received in time to be used in the programs for which they were ordered?

  9. Stakeholder Management Plan: Are the appropriate IT resources adequate to meet planned commitments?

  10. Activity Duration Estimates: Are changes to the scope managed according to defined procedures?

 
Step-by-step and complete Ontology-based data integration Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:

  • 1.1 Ontology-based data integration project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:

  • 2.1 Ontology-based data integration project Management Plan
  • 2.2 Scope Management Plan
  • 2.3 Requirements Management Plan
  • 2.4 Requirements Documentation
  • 2.5 Requirements Traceability Matrix
  • 2.6 Ontology-based data integration 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 Ontology-based data integration 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 Ontology-based data integration 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 Ontology-based data integration 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 Ontology-based data integration project with this in-depth Ontology-based data integration Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Ontology-based data integration 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 Ontology-based data integration 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 Ontology-based data integration investments work better.

This Ontology-based data integration 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.

46 Reviews Hide Reviews Show Reviews

  • 5
    cake.hr

    Posted by cake.hr on 5th Sep 2018

    The Verdict: The Complete Self-Assessment package ticks a lot of checkboxes, especially for businesses testing the waters for decision making and performance enhancement and for companies that can not have a full-time professional on payroll to guide the initial implementation of their drive.

  • 5
    Just looked at the files. Impressive. Well done. I am learning.

    Posted by MARTIN B. on 5th Sep 2018

    MARTIN B. Risks and Compliance, Vulnerability and Security Testing, Threat Detection and Response, Managed Security Services.

  • 5
    Thank you so much for a great tool!

    Posted by Kristy M. on 4th Sep 2018

    Kristy M. Project Manager

  • 5
    Thank you for this achievement.

    Posted by IFMA on 5th Aug 2018

    IFMA International Facility Management Association

  • 5
    Congrats! Very cool!

    Posted by Caryn B. on 3rd Aug 2018

    Caryn B. Vice President Production

  • 5
    Seems quite handy - going to start using it next month as we're investing quite a lot in it. This will define for us what to do in this space and solve a real problem (rather than chasing shiny objects).

    Posted by DAVIN B. on 2nd Aug 2018

    DAVIN B. Systems Manager

  • 5
    I have gone through the array of your works and they are simply awesome! Great job you have been doing.

    Posted by KENNETH O. on 4th Jul 2018

    KENNETH O. MD/CEO, Emerging Media

  • 5
    Thank you! I have found a lot of great information in the text so far. I plan to use your book as one of our references as we build out our SDDC and gladly leave an online review.

    Posted by CRAIG T. on 4th Jul 2018

    CRAIG T. Chief Technology Officer

  • 5
    The Self-Assessment is a great tool to gather feedback and input from others, especially challenges, and things to watch out for. Very helpful!

    Posted by JULIE M. on 4th Jul 2018

    JULIE M. AWS Solution Architect