Data Quality Toolkit

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Assess data quality of structured data using information from unstructured data

 

Can your business easily monitor Data Quality and understand the monetary impact of poor data?

What are the characteristics of an enterprise Data Quality tool that can handle product and customer data?

How will you mitigate Data Quality or integrity problems that can compromise vital business processes?

What kind of return on investment does your organization expect from its Data Quality initiative?

How much do you trust in the Data Quality and results analysis of your organizations Business Intelligence applications?




...Find the answers to these, and more, questions with this Data Quality Toolkit:

  • Deal with the Data Quality of the crowdsourced affective data.
  • Distinguish Data Quality from information quality.
  • Get your Data Quality issues fixed.
  • Ensure that employee attendance data in your system are of high quality.
  • Decide where to make your Data Quality investment.
  • Determine the current level of your Data Quality.
  • Find out that your Data Quality is good.
  • Consider the Data Quality of your system.
  • Build a commitment to Data Quality in your SO teams and operating units.



HOW THIS TOOLKIT WORKS:

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


STEP 1: Get your bearings

Start with...

  • The latest quick edition of the Data Quality 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 995 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 Quality improvements can be made.

Examples; 10 of the 995 standard requirements:

  1. What is the overall level of interest in further developing and incorporating education data into future accountability systems for evaluating progress on social determinants of health?

  2. What commissioning procedures do you follow to ensure that data quality is robust and that meter details are correctly linked to the address of the installed meter?

  3. What action has been taken to guard against potential customer detriment including through accidental unfair bias due to poor data quality or algorithm design?

  4. How is data governance placed in the context of data management, information, data quality, enterprise architecture, IT governance and corporate governance?

  5. What about solutions that have been implemented or are in the process of being developed to ensure that an acceptable level of data quality is maintained?

  6. Are significant errors and material omissions the only categories for describing issues or problems identified during the data quality review process?

  7. Does xbrl provide you with opportunities for improved process efficiencies, improved data quality, faster validation, more efficient reporting?

  8. How can banks ensure data ownership, data integrity, data quality, data privacy and ensure there is trust in your organizations data?

  9. Do you have concerns about the current level of data quality to ensure that correct properties are connected/ disconnected?

  10. Do you provide additional insights on specific data quality issues and qualify the magnitude of the data cleansing effort?


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 Quality book in PDF containing 995 requirements, which criteria correspond to the criteria in...

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

  • 62 step-by-step Data Quality Project Management Form Templates covering over 1500 Data Quality project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Team Member Performance Assessment: What specific plans do you have for developing effective cross-platform assessments in a blended learning environment?

  2. Cost Management Plan: Exclusions is there scope to be performed or provided by others?

  3. Schedule Management Plan: Has the ims content been baselined and is it adequately controlled?

  4. Stakeholder Management Plan: Is a pmo (Data Quality project management office) in place and does it provide oversight to the Data Quality project?

  5. Stakeholder Management Plan: Will Data Quality project success require up to date information at a moments notice?

  6. Activity Duration Estimates: How does a Data Quality project life cycle differ from a product life cycle?

  7. Change Log: How does this relate to the standards developed for specific business processes?

  8. Roles and Responsibilities: Are the quality assurance functions and related roles and responsibilities clearly defined?

  9. Executing Process Group: Based on your Data Quality project communication management plan, what worked well?

  10. Team Member Performance Assessment: How are performance measures and associated incentives developed?

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

1.0 Initiating Process Group:

  • 1.1 Data Quality project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:

  • 2.1 Data Quality 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 Quality 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 Quality 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 Quality 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 Quality 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 Quality project with this in-depth Data Quality Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Data Quality 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 Quality 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 Quality investments work better.

This Data Quality 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.





TRUSTED BY NEARLY 200.000 PROFESSIONALS:


'As a new Chief Technology Officer, I was feeling unprepared and inadequate to be successful in my role. I ordered an IT toolkit Sunday night and was prepared Monday morning to shed light on areas of improvement within my organization. I no longer felt overwhelmed and intimidated, I was excited to share what I had learned.'

'Before The Art of Service, I waited eagerly for consulting company reports to come out each month. These reports kept us up to speed but provided little value because they put our competitors on the same playing field. With The Art of Service, we have uncovered unique insights to drive our business forward.'

'I used the questionnaires to interview members of my team. I never knew how many insights we could produce collectively with our internal knowledge.'

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'After utilizing toolkits from The Art of Service, I was able to identify threats within my organization to which I was completely unaware. Using my teams knowledge as a competitive advantage, we now have superior systems that save time and energy.'

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CONTENTS:


Checklists:


Checklists:Data Quality Checklist Report on INFORMATION.pdf

Checklists:Data Quality Checklist Report on BUSINESS.pdf

Checklists:Data Quality Checklist Report on ORGANIZATION.pdf

Checklists:Data Quality Checklist Report on PROCESS.pdf

Checklists:Data Quality Checklist Report on DATA.pdf



STEP 1 Get your bearings:


STEP 1 Get your bearings:Data Quality Self-Assessment Pre-Filled EXAMPLE.xlsx

STEP 1 Get your bearings:Data_Quality_Quick_Exploratory_Self-Assessment_Guide.pdf





STEP 2 Set concrete goals tasks dates and numbers you can track:


STEP 2 Set concrete goals tasks dates and numbers you can track:Data_Quality.pdf

STEP 2 Set concrete goals tasks dates and numbers you can track:Data Quality Self-Assessment.xlsx

..and the Project Management resources in 'STEP 3: Implement, Track, follow up and revise strategy' as described above.

 

 

Who This Toolkit Is For

This Toolkit is specifically designed for professionals who want to get results or those who want to sell more of their products and services such as…

  • Coaching or Consulting
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Bottom line, if you are managing high-end products and services, this toolkit will help you know more, see more and sell more - as well as train your people and co-workers to do so.

If you are a professional who wants to level-up, this Toolkit will help you do exactly that. And if you ever decide to launch products or services, this Toolkit will give you the skills that will not only serve you today as a professional but also in the future as an entrepreneur.

These skills will enrich every part of your life.

Are you ready to get started?

Are you clear on what you are struggling with, want to figure out what the problem is, diagnose it, and get a solution? The solution is something this Toolkit can provide, and we believe it can solve your problem, but you have to decide if you want to become a part of it or not.

Decision Making:

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The Reason:

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You are here because we have a great reputation in the space, and you specifically want this Toolkit to help you, but why now, why is it so important to solve this right now?

The answer to this question is your REAL pain:

  • Why do you think this problem exists?
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Tried:

What have you tried so far to fix this? Is there pain of frustration to solve this all on your own?

This Toolkit gives you your proven advisor, an advisor the vast majority of professionals do not use, because they do not know it exists. If you have tried Toolkits before, so have everyone else of our 200.000 clients. Once they use this Toolkit, they are shocked as to how they quickly get results.

Current and desired situation:

This toolkit will give you the exact quantifiable metrics in your situation; identifying where exactly you are in the journey to solving your problem and what that looks like.

Where do you want to be, what is your desired situation: if you were to use this Toolkit, where would you want to be 12 months from now to feel like the investment was more than worth it?  Make sure you set realistic expectations.

Why:

What is driving you to achieve that goal? How would that affect you or change your life. What would that look like.

The reason WHY you want something always comes down to either love or status - have clarity on your WHY.

Ownership:

What is stopping you from achieving this all on your own without any help? If your answer is one of these three answers, this Toolkit is right for you:

  • I do not know how to do it
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  • I want to get there faster

Commitment:

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The fact is, it is never a good time, it is never a good time to start a new program, and it is never a good time to fix a major problem. And even if you think a later time is a good time, you know something will come up. Life will keep happening. If you truly want to solve this problem, would you agree you have to commit to solving it even when it is not the perfect time?

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Which would you like to do?

Our area of expertise is helping professionals to get the results they want so they can lead and get ahead. And we do that by pouring our experience, advise and knowledge in this Toolkit. Now, this may not be for you, but we let you decide if it sounds like a good fit so far.

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