Data Mapping Toolkit

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Manage Data Mapping: monitor training attrition and partner with Human Capital delivery and Talent Acquisition to determine Root Cause analysis and develop proactive measures to reduce training attrition.

More Uses of the Data Mapping Toolkit:

  • Provide Data Wrangling services to make data (structured and unstructured), by transformations, normalization, and Data Mapping, consumable for a variety of downstream purposes as applications, visualizations, and analytics.

  • Ensure you mobilize; build Data Mappings to provide the means of System Integration by considering security, compliance the target and the source System Requirements.

  • Confirm your Strategy ensures quality and accuracy of the data mapped from staging environments to the Data Warehouse and to external interfaces.

  • Provide support to the Billing Service Team by adding providers and payers, resolving Data Mapping issues, and making billing software configuration changes.

  • Be accountable for utilizing various data sources and research methods, the Data Stewardship Analyst provides your organization and structure for Firms, organization Offices, and Contacts to be used in consolidated reporting across multiple platforms and clearing arrangements.

  • Manage work with clients/testers to ensure the product meets the client requirements in phases of Data Validation, User Acceptance testing, etc.

  • Set requirements for documenting client and system specific Data Mapping needs, transformation rules, and any Business Rules related intelligence.

  • Involve in Data Analysis, Data Validation, Data Modeling, Data Profiling, Data Verification, Data Mapping, data loading, Data Warehousing/etl testing and bi reporting testing.

  • Organize Data Mapping: work closely with team Data Analyst and Business Analyst to confirm Data Requirements, Data Flows, and source to target Data Mapping.

  • Identify Data Mapping: partner with product owners, Data Engineers and business Systems Analysts to identify Data Mappings and generate Enterprise Analytics Data Models.

  • Standardize Data Mapping: document Data Mapping requirements and field level design documents by capturing the data transformations and Business Rules and providing the technical specs as foundation for the subsequent ETL work.

  • Provide analytical and design expertise; system configuration; Data Mapping; testing and Client Support of live payroll processing.

  • Generate and manage Data Mapping, records of processing activities, and other internal activities related to privacy, security, and compliance.

  • Methodize Data Mapping: Meta Data management and development of Data Dictionaries and source system Data Mapping documentation.

  • Secure that your planning provides Interface Design (Data Mapping, translation, and transformation specifications) and architectural guidance for new and existing integration projects.

  • Supervise Data Mapping: work closely with team Data Analyst and Business Analyst to confirm Data Requirements, Data Flows, and source to target Data Mapping.

  • Develop functional Requirements Specifications, Data Mappings, function mapping, setting of configuration tables and setting of transaction/control tables.

  • Systematize Data Mapping: Data Modeling and Data Mappings (landing, staging and base objects), Data Validation, match and merge rules, hierarchy, relationship, cleansing logic, and mapping survivorship criteria.

  • Evaluate Data Mapping: technical knowledge in field to field Data Mapping, conversion validation, system and security configuration, System Integration Testing, and User Acceptance testing.

  • Analyze the existing Transactional Data repositories to identify and create Data Mapping and Business Rules for data ETL based on Business Needs.

  • Support Data Quality and Master Data Management activities to ensure data from source systems is accurate, current, consistent and fit for purpose.

  • Control Data Mapping: technical knowledge in field to field Data Mapping, conversion validation, system and security configuration, System Integration Testing, and User Acceptance testing.

  • Establish Data Mapping: document Business Requirements, workflows, Use Cases, Functional Requirements, Test Plans, Test Cases, and Data Mappings for new enhancements or modifications to cmdb functionality.

  • Lead Data Mapping: Data Modeling and Data Mappings (landing, staging and base objects), Data Validation, match and merge rules, hierarchy, relationship, cleansing logic, and mapping survivorship criteria.

  • Be certain that your organization provides Interface Design (Data Mapping, translation, and transformation specifications) and architectural guidance for new and existing integration projects.

  • Support Enterprise Data Governance initiatives in relation to data categorization and MetaData Mapping.

  • Head Data Mapping: technical knowledge in field to field Data Mapping, conversion validation, system and security configuration, System Integration Testing, and User Acceptance testing.

  • Warrant that your organization serves as a data Systems Analyst conduit between Business Partners, Actuarial IT development team and valuation Business Partners.

  • Maintain Version Control across different configurable items (documents component Data Mapping clarification document etc).

  • Evaluate Data Mapping: document Data Mapping requirements and field level design documents by capturing the data transformations and Business Rules and providing the technical specs as foundation for the subsequent ETL work.

  • Utilize a variety of tools (scripting languages) to pull data from different source systems critical for data ingestion, refactoring, and optimization of existing Data Models, to meet functional and performance needs.

  • Analyze mapping data and make decisions based on policy to complete mapping workflows.

  • Support vetting, research, and management of key influencers and advocates across multiple channels.

 

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


STEP 1: Get your bearings

Start with...

  • The latest quick edition of the Data Mapping 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 999 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 Mapping improvements can be made.

Examples; 10 of the 999 standard requirements:

  1. Is pre-qualification of suppliers carried out?

  2. Is Data Mapping realistic, or are you setting yourself up for failure?

  3. How long will it take to change?

  4. What Data Mapping standards are applicable?

  5. What is your decision requirements diagram?

  6. What Data Mapping capabilities do you need?

  7. What does losing customers cost your organization?

  8. Can support from partners be adjusted?

  9. Have the concerns of stakeholders to help identify and define potential barriers been obtained and analyzed?

  10. If your customer were your grandmother, would you tell her to buy what you're selling?


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 Mapping book in PDF containing 994 requirements, which criteria correspond to the criteria in...

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

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

Examples; 10 of the check box criteria:

  1. Cost Management Plan: Eac -estimate at completion, what is the total job expected to cost?

  2. Activity Cost Estimates: In which phase of the Acquisition Process cycle does source qualifications reside?

  3. Project Scope Statement: Will all Data Mapping project issues be unconditionally tracked through the Issue Resolution process?

  4. Closing Process Group: Did the Data Mapping Project Team have enough people to execute the Data Mapping Project Plan?

  5. Source Selection Criteria: What are the guidelines regarding award without considerations?

  6. Scope Management Plan: Are Corrective Actions taken when actual results are substantially different from detailed Data Mapping Project Plan (variances)?

  7. Initiating Process Group: During which stage of Risk planning are risks prioritized based on probability and impact?

  8. Cost Management Plan: Is your organization certified as a supplier, wholesaler, regular dealer, or manufacturer of corresponding products/supplies?

  9. Procurement Audit: Was a formal review of tenders received undertaken?

  10. Activity Cost Estimates: What procedures are put in place regarding bidding and cost comparisons, if any?

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

1.0 Initiating Process Group:


2.0 Planning Process Group:


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 Mapping 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 Mapping 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 Mapping project with this in-depth Data Mapping Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Data Mapping 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 Mapping 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 Mapping investments work better.

This Data Mapping 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.