Establish that your organization plans, designs, develops, and performs quality assessments on data elements and structures to document and evaluate integrity, completeness, quality, and appropriateness of formats, records, and structures.



More Uses of the Data Warehouse Architecture Toolkit:




• Ensure all employees share the responsibility for maintaining a Workplace Culture of dignity, respect, understanding and appreciation of individual and group differences.
  
  

• Create a Real Time Data capability that enables systems and Customer Support teams to act instantly on consumer and third party generated data.
  
  

• Keep abreast of new Data Storage, delivery, analysis, visualization, reporting techniques and software to develop more powerful Data Infrastructure.
  
  

• Be accountable for taking data from multiple disparate data sources and leading design and implementation of a scalable Enterprise Reporting model.
  
  

• Ensure your business performs regular and ad hoc review, audits, and investigations of data activity and integrity; prepares reports and summaries of findings.
  
  

• Secure that your strategy leads the effort to change, primarily by championing the change to elicit support, evolving the process of Data Warehouse Architecture so that it delivers value.
  
  

• Manage work on extract, transform, and load (ETL) processes/projects, individually or as part of or in conjunction with a database/Data Warehouse team.
  
  

• Be accountable for leading the analysis, architecture, design, and development of large scale Data Management and Business Intelligence solutions.
  
  

• Provide technical expertise and recommendations in analyzing Customer Needs, document requirements, and design technical solutions.
  
  

• Adhere to Data Strategy, policies, controls, and programs to ensure the Enterprise Data is accurate, complete, secure, and reliable.
  
  

• Direct: collaboration with ETL Process Owners to understand, design and implement data movements and integrations across a complex landscape of systems.
  
  

• Manage work with Data Architects to build models that conform to Data Modeling and design standards, tools, Best Practices, and related development for enterprise Data Models.
  
  

• Create and maintain Data Governance discipline across your organization to ensure a consistent view of data across your organization.
  
  

• Warrant that your organization applies Data Warehouse Architecture principles using conceptual logical and physical modeling tools to provide access to data to the enterprise.
  
  

• Determine patterns and approach to evolve your Warehouses in line with your organizations processes, standards, and procedures.
  
  

• Maintain technical knowledge by attending educational workshops; reviewing publications; establishing personal networks; participating in technical societies.
  
  

• Secure that your venture rolls out enterprise wide data Governance Framework, with focus on organization, policies, principles and standards, and Governance Metrics.
  
  

• Assure your corporation develops and maintains Technical Documentation, Metadata definition, and catalog of the Data Structures in brand agnostic conformed layer and Data Mart.
  
  

• Identify: design, development, Unit Testing, System Testing and Change Management for development, enhancements and fixes related to enterprise reports and processes.
  
  

• Confirm your corporation develops the Core Data Warehouse environment to ensure that the Data Warehouse Architecture outputs are used to bring about positive change through effective use of data.
  
  

• Warrant that your planning complies; awareness of data Governance Practices, business and technology issues related to management of enterprise Information Assets and approaches related to Data Protection.
  
  

• Make sure that your enterprise complies; Solutions Support enterprise Information Management, master Data Management, Business Intelligence, Machine Learning, Data Science, and other business interests.
  
  

• Warrant that your operation establishes standards and guidelines for coding, Performance Optimization, documentation, Quality Assurance and Production Support.
  
  

• Determine database structural requirements by working with internal Business Stakeholders, and identifying optimal database specifications.
  
  

• Execute activities pertaining to End To End data set identification, development, and implementation according to the guidance from Data Scientists.
  
  

• Organize: work closely with all Qlik internal teams to ensure successful customer deployments and influence future platform enhancements.
  
  

• Manage work with BI development and the office of Information Technology to support complex Data Models and a robust semantic layer that produces easily understood data sets for functional users.
  
  

• Oversee: work closely with the engineering and Development Teams to identify non Functional Requirements, build out Data Visualizations and Data Access capabilities in support of Business Requirements.
  
  

• Manage work with Application Developers and other stakeholders to determine business need and apply Industry Standards to all database solutions created.
  
  

• Standardize: act as an expert technical resource for Cloud Data modelling, Data Warehouse Architecture and analysis efforts to support business Team Goals.
  
  




 



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



STEP 1: Get your bearings



Start with...




• The latest quick edition of the Data Warehouse Architect 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 Warehouse Architect improvements can be made.



Examples; 10 of the 999 standard requirements:




1. Is a Data Warehouse Architect Team Work effort in place?
   
   

2. Are you using a Design Thinking approach and integrating Innovation, Data Warehouse Architect Experience, and Brand Value?
   
   

3. Who have you, as a company, historically been when you've been at your best?
   
   

4. Why are you doing Data Warehouse Architect and what is the scope?
   
   

5. When information truly is ubiquitous, when reach and connectivity are completely global, when Computing Resources are infinite, and when a whole new set of impossibilities are not only possible, but happening, what will that do to your business?
   
   

6. What can you control?
   
   

7. What is the overall talent health of your organization as a whole at senior levels, and for each organization reporting to a member of the Senior Leadership Team?
   
   

8. How can you incorporate support to ensure safe and effective use of Data Warehouse Architect into the services that you provide?
   
   

9. What counts that you are not counting?
   
   

10. What one word do you want to own in the minds of your customers, employees, and partners?
    
    




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




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




• 62 step-by-step Data Warehouse Architect Project Management Form Templates covering over 1500 Data Warehouse Architect 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 Warehouse Architect project issues be unconditionally tracked through the Issue Resolution process?
   
   

4. Closing Process Group: Did the Data Warehouse Architect Project Team have enough people to execute the Data Warehouse Architect 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 Warehouse Architect 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 Warehouse Architect Project Management Forms and Templates including check box criteria and templates.



1.0 Initiating Process Group:




• 1.1 Data Warehouse Architect project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix




2.0 Planning Process Group:




• 2.1 Data Warehouse Architect 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 Warehouse Architect 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 Warehouse Architect 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 Warehouse Architect 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 Warehouse Architect 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 Warehouse Architect project with this in-depth Data Warehouse Architect Toolkit.



In using the Toolkit you will be better able to:




• Diagnose Data Warehouse Architect 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 Warehouse Architect 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 Warehouse Architect investments work better.



This Data Warehouse Architect 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.