Data Warehousing Toolkit

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Enterprise Data Management, Data Warehousing and/or Business Intelligence; Data Modeling, integration and/or synchronization, quality, security, conversion and analysis; Database Administration; and/or Enterprise Data Management policies, procedures, compliance and Risk Management.

More Uses of the Data Warehousing Toolkit:

  • Ensure you coach; lead internal and client teams to drive transformation programs around Business Analytics, Big Data and cloud solutions, Data Warehousing, Visual Stories, Predictive Analytics, and Data Governance.

  • Make sure that your project leads the informatics, Data Analytics and Data Warehousing teams in research, development, and implementation of appropriate data systems that lead to improved business performance and achievement of overall business goals.

  • Be an Azure platform evangelist for Advanced Analytics scenarios like modernizing your legacy Data Warehouse and migrating to the cloud, new modern Data Warehousing deployments and end to end analytics solutions.

  • Make sure that your project leads the Data Analytics and Data Warehousing efforts in research, development, and implementation of appropriate data systems that lead to improved business performance and achievement of overall business goals.

  • Consult with key individuals across multiple projects at the client regarding the usage and application of Business Intelligence and Data Warehousing architectural standards.

  • Make high impact, long term decisions around procurement and deployment of modern cloud data platform solutions (Data Lake, Data Warehousing, Data Governance, Data as a Service, Data Security).

  • Ensure you formulate; served as a provider or market practice in the areas of Portfolio management, trading, investment operations, investment accounting, Risk Management, or Data Warehousing.

  • Manage work with Data Warehousing concepts, Relational Databases, structures, and ETL best practices in finance, operations, enterprise environments.

  • Collaborate with Business Process and Data Governance managers to build Data Strategy, direction and roadmap for Master Data management, Data Quality program, Data Warehousing/lake, Business Intelligence and analytics.

  • Confirm your corporation has mastered the concepts of Data Warehousing Data Architecture, Master Data architecture, design, configuration, operation, security, and Data Integration tools.

  • Evaluate: bent for applied research with expertise in pattern mining, Anomaly Detection, Predictive Modeling, classification and optimization.

  • Ensure you helm; understand and develop solutions for client needs, ranging from ETL, Data Warehousing, Remote access, and analytical applications support.

  • Explore Data Warehousing and Master Data management to lead an effective transparency and open data practice which generates a credible resource for organization, staff, and the public.

  • Ensure you instruct; understand objectives in order to devise meaningful measurement strategies to effectively track effect of changes, optimizations ,and enhancements to media campaigns and brand sites.

  • Ensure you conceptualize; lead with expertise in architecting and implementing Master Data Management, Operational Data Stores and Data Warehousing solutions.

  • Ensure you pioneer; understand and translate the Technical Design from the Data Architecture team into implemented physical data models that meet Data Governance, Enterprise Architecture and business requirements for Data Warehousing and Data Access layer.

  • Ensure you liaise; build out the necessary Data Structures optimized for eCommerce analytics, leveraging the on premise Data Warehouse and other structured and Unstructured Data Warehousing/storage platforms.

  • Audit: implement extensive coordination between business groups and the IT delivery teams working on internal IT projects in areas like Order Management, eCommerce, Point of Sale etc.

  • Determine system specifications, input/output processes and working parameters to meet business requirements and hardware/software compatibility.

  • Manage work with business stakeholders, Project Managers and developers to ensure that analytic and information requirements are clearly defined, documented, and communicated.

  • Develop Software Applications in support of various healthcare related functions using Data Warehousing, Microstrategy, COTS and ETL.

  • Ensure your project provides leadership to the IT Data Management Department in the areas of Data Warehousing, Big Data, Business Intelligence, Data Architecture, and other associated data related initiatives.

  • Manage work with client to drive transformation programs around Business Analytics, Big Data and cloud solutions, Data Warehousing, Visual Stories, Predictive Analytics, and Data Governance.

  • Manage to clearly communicate instructions and sensitive information down the line for Data Analytics and Data Warehousing personnel to effectively execute duties.

  • Initiate: architecture and deliver Data Warehousing solutions that exceed customer expectations in content, usability, accuracy, reliability and performance.

  • Be accountable for using an iterative and practical approach, create operational dashboards that provide bold insights into customer behaviors and KPIs for business outcomes.

  • Involve in Data Analysis, Data Validation, Data Modeling, Data Profiling, data verification, Data Mapping, data loading, Data Warehousing/ETL testing and BI reporting testing.

  • Perform technical skills related to architecture and infrastructure capabilities as integration architecture, Data Architecture, Data Warehousing infrastructure and data delivery infrastructure.

  • Solidify in depth technical expertise regarding data models, Data Analysis and design, Master Data management, MetaData Management, Data Warehousing, Business Intelligence, Data Quality improvement.

  • Collaborate with your customer, partners, and AWS Engineering teams to solve for enterprise problems like Database Migrations, Data Warehousing, Real time analytics, Operational analytics, and Big Data processing on the cloud.


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

STEP 1: Get your bearings

Start with...

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

Examples; 10 of the 999 standard requirements:

  1. How do your work systems and key work processes relate to and capitalize on your core competencies?

  2. Are controls in place and consistently applied?

  3. Do vendor agreements bring new compliance risk?

  4. What systems/processes must you excel at?

  5. Data Warehousing Risk Decisions: whose call is it?

  6. How do you gather requirements?

  7. Will a Data Warehousing production readiness review be required?

  8. Is the suppliers process defined and controlled?

  9. What are the key enablers to make this Data Warehousing move?

  10. Are task requirements clearly defined?

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

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

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

  4. Closing Process Group: Did the Data Warehousing project team have enough people to execute the Data Warehousing 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 Warehousing 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 Warehousing 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 Warehousing 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 Warehousing project or Phase Close-Out
  • 5.4 Lessons Learned



With this Three Step process you will have all the tools you need for any Data Warehousing project with this in-depth Data Warehousing Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Data Warehousing 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 Warehousing 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 Warehousing investments work better.

This Data Warehousing 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.