Domain Driven Data Mining A Complete Guide - 2020 Edition
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About this ebook
How will success or failure be measured? How do you stay inspired? Did you tackle the cause or the symptom? Is there any additional Domain driven data mining definition of success? What are the business goals Domain driven data mining is aiming to achieve?
This one-of-a-kind Domain Driven Data Mining self-assessment will make you the trusted Domain Driven Data Mining domain expert by revealing just what you need to know to be fluent and ready for any Domain Driven Data Mining challenge.
How do I reduce the effort in the Domain Driven Data Mining work to be done to get problems solved? How can I ensure that plans of action include every Domain Driven Data Mining task and that every Domain Driven Data Mining outcome is in place? How will I save time investigating strategic and tactical options and ensuring Domain Driven Data Mining costs are low? How can I deliver tailored Domain Driven Data Mining advice instantly with structured going-forward plans?
There’s no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Domain Driven Data Mining essentials are covered, from every angle: the Domain Driven Data Mining self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Domain Driven Data Mining outcomes are achieved.
Contains extensive criteria grounded in past and current successful projects and activities by experienced Domain Driven Data Mining practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Domain Driven Data Mining are maximized with professional results.
Your purchase includes access details to the Domain Driven Data Mining self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria:
- The latest quick edition of the book in PDF
- The latest complete edition of the book in PDF, which criteria correspond to the criteria in...
- The Self-Assessment Excel Dashboard
- Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation
- In-depth and specific Domain Driven Data Mining Checklists
- Project management checklists and templates to assist with implementation
INCLUDES LIFETIME SELF ASSESSMENT 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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Domain Driven Data Mining A Complete Guide - 2020 Edition - Gerardus Blokdyk
Domain Driven Data Mining
Complete Self-Assessment Guide
The guidance in this Self-Assessment is based on Domain Driven Data Mining best practices and standards in business process architecture, design and quality management. The guidance is also based on the professional judgment of the individual collaborators listed in the Acknowledgments.
Notice of rights
You are licensed to use the Self-Assessment contents in your presentations and materials for internal use and customers without asking us - we are here to help.
All rights reserved for the book itself: this book may not be reproduced or transmitted in any form by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the publisher.
The information in this book is distributed on an As Is
basis without warranty. While every precaution has been taken in the preparation of he book, neither the author nor the publisher shall have any liability to any person or entity with respect to any loss or damage caused or alleged to be caused directly or indirectly by the instructions contained in this book or by the products described in it.
Trademarks
Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and the publisher was aware of a trademark claim, the designations appear as requested by the owner of the trademark. All other product names and services identified throughout this book are used in editorial fashion only and for the benefit of such companies with no intention of infringement of the trademark. No such use, or the use of any trade name, is intended to convey endorsement or other affiliation with this book.
Copyright © by The Art of Service
http://theartofservice.com
service@theartofservice.com
About The Art of Service
The Art of Service, Business Process Architects since 2000, is dedicated to helping stakeholders achieve excellence.
Defining, designing, creating, and implementing a process to solve a stakeholders challenge or meet an objective is the most valuable role… In EVERY group, company, organization and department.
Unless you’re talking a one-time, single-use project, 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?’
With The Art of Service’s Standard Requirements Self-Assessments, we empower people who can do just that — whether their title is marketer, entrepreneur, manager, salesperson, consultant, Business Process Manager, executive assistant, IT Manager, CIO etc... —they are the people who rule the future. They are people who watch the process as it happens, and ask the right questions to make the process work better.
Contact us when you need any support with this Self-Assessment and any help with templates, blue-prints and examples of standard documents you might need:
http://theartofservice.com
service@theartofservice.com
Included Resources - how to access
Included with your purchase of the book is the Domain Driven Data Mining Self-Assessment Spreadsheet Dashboard which contains all questions and Self-Assessment areas and auto-generates insights, graphs, and project RACI planning - all with examples to get you started right away.
How? Simply send an email to
access@theartofservice.com
with this books’ title in the subject to get the Domain Driven Data Mining Self Assessment Tool right away.
You will receive the following contents with New and Updated specific criteria:
•The latest quick edition of the book in PDF
•The latest complete edition of the book in PDF, which criteria correspond to the criteria in...
•The Self-Assessment Excel Dashboard, and...
•Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation
•In-depth specific Checklists covering the topic
•Project management checklists and templates to assist with implementation
INCLUDES LIFETIME SELF ASSESSMENT 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.
Get it now- you will be glad you did - do it now, before you forget.
Send an email to access@theartofservice.com with this books’ title in the subject to get the Domain Driven Data Mining Self Assessment Tool right away.
Purpose of this Self-Assessment
This Self-Assessment has been developed to improve understanding of the requirements and elements of Domain Driven Data Mining, based on best practices and standards in business process architecture, design and quality management.
It is designed to allow for a rapid Self-Assessment to determine how closely existing management practices and procedures correspond to the elements of the Self-Assessment.
The criteria of requirements and elements of Domain Driven Data Mining have been rephrased in the format of a Self-Assessment questionnaire, with a seven-criterion scoring system, as explained in this document.
In this format, even with limited background knowledge of Domain Driven Data Mining, a manager can quickly review existing operations to determine how they measure up to the standards. This in turn can serve as the starting point of a ‘gap analysis’ to identify management tools or system elements that might usefully be implemented in the organization to help improve overall performance.
How to use the Self-Assessment
On the following pages are a series of questions to identify to what extent your Domain Driven Data Mining initiative is complete in comparison to the requirements set in standards.
To facilitate answering the questions, there is a space in front of each question to enter a score on a scale of ‘1’ to ‘5’.
1 Strongly Disagree
2 Disagree
3 Neutral
4 Agree
5 Strongly Agree
Read the question and rate it with the following in front of mind:
‘In my belief,
the answer to this question is clearly defined’.
There are two ways in which you can choose to interpret this statement;
1.how aware are you that the answer to the question is clearly defined
2.for more in-depth analysis you can choose to gather evidence and confirm the answer to the question. This obviously will take more time, most Self-Assessment users opt for the first way to interpret the question and dig deeper later on based on the outcome of the overall Self-Assessment.
A score of ‘1’ would mean that the answer is not clear at all, where a ‘5’ would mean the answer is crystal clear and defined. Leave emtpy when the question is not applicable or you don’t want to answer it, you can skip it without affecting your score. Write your score in the space provided.
After you have responded to all the appropriate statements in each section, compute your average score for that section, using the formula provided, and round to the nearest tenth. Then transfer to the corresponding spoke in the Domain Driven Data Mining Scorecard on the second next page of the Self-Assessment.
Your completed Domain Driven Data Mining Scorecard will give you a clear presentation of which Domain Driven Data Mining areas need attention.
Domain Driven Data Mining
Scorecard Example
Example of how the finalized Scorecard can look like:
Domain Driven Data Mining
Scorecard
Your Scores:
BEGINNING OF THE
SELF-ASSESSMENT:
Table of Contents
About The Art of Service8
Included Resources - how to access8
Purpose of this Self-Assessment10
How to use the Self-Assessment11
Domain Driven Data Mining
Scorecard Example13
Domain Driven Data Mining
Scorecard14
BEGINNING OF THE
SELF-ASSESSMENT:15
CRITERION #1: RECOGNIZE16
CRITERION #2: DEFINE:28
CRITERION #3: MEASURE:44
CRITERION #4: ANALYZE:59
CRITERION #5: IMPROVE:76
CRITERION #6: CONTROL:92
CRITERION #7: SUSTAIN:104
Domain Driven Data Mining and Managing Projects, Criteria for Project Managers:129
1.0 Initiating Process Group: Domain Driven Data Mining130
1.1 Project Charter: Domain Driven Data Mining132
1.2 Stakeholder Register: Domain Driven Data Mining134
1.3 Stakeholder Analysis Matrix: Domain Driven Data Mining135
2.0 Planning Process Group: Domain Driven Data Mining137
2.1 Project Management Plan: Domain Driven Data Mining139
2.2 Scope Management Plan: Domain Driven Data Mining141
2.3 Requirements Management Plan: Domain Driven Data Mining143
2.4 Requirements Documentation: Domain Driven Data Mining145
2.5 Requirements Traceability Matrix: Domain Driven Data Mining147
2.6 Project Scope Statement: Domain Driven Data Mining149
2.7 Assumption and Constraint Log: Domain Driven Data Mining151
2.8 Work Breakdown Structure: Domain Driven Data Mining153
2.9 WBS Dictionary: Domain Driven Data Mining155
2.10 Schedule Management Plan: Domain Driven Data Mining157
2.11 Activity List: Domain Driven Data Mining159
2.12 Activity Attributes: Domain Driven Data Mining161
2.13 Milestone List: Domain Driven Data Mining163
2.14 Network Diagram: Domain Driven Data Mining165
2.15 Activity Resource Requirements: Domain Driven Data Mining167
2.16 Resource Breakdown Structure: Domain Driven Data Mining169
2.17 Activity Duration Estimates: Domain Driven Data Mining171
2.18 Duration Estimating Worksheet: Domain Driven Data Mining173
2.19 Project Schedule: Domain Driven Data Mining175
2.20 Cost Management Plan: Domain Driven Data Mining177
2.21 Activity Cost Estimates: Domain Driven Data Mining179