Save time, empower your teams and effectively upgrade your processes with access to this practical Data Warehouse Architecture Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Data Warehouse Architecture 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 Architecture specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Data Warehouse Architecture 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 997 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 Architecture improvements can be made.
Examples; 10 of the 997 standard requirements:
- How do you enhance current data warehouse and improvements to the reporting system that will improve how information is made accessible to employees?
- How important is having consistent, integrated security and governance across all of your analytics and machine learning functions?
- What are the main criteria in deciding if your organization has reached a growth/maturity point where it needs a warehouse system?
- When working with your data models, which do you use to get detailed information about tables, number of rows, and partitioning?
- Why go through the process of constructing a data warehouse when analysis can be done by simply sending queries to the database?
- Does the cloud-based data warehouse vendor provide performance benchmarks that accurately reflect how your application will run?
- What approaches to data acquisition and integration will facilitate data warehousing deployment and ongoing maintenance?
- What technological breakthroughs will enable the emergence of the next generation of business intelligence applications?
- Are the internal data warehouse and open access data exchange / platform built on same technology stack or different?
- Will it be more productive for you to have an inhouse server system, handling your own maintenance and customization?
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 Architecture book in PDF containing 997 requirements, which criteria correspond to the criteria in...
Your Data Warehouse Architecture 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 Architecture Self-Assessment and Scorecard you will develop a clear picture of which Data Warehouse Architecture 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 Architecture 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 Architecture projects with the 62 implementation resources:
- 62 step-by-step Data Warehouse Architecture Project Management Form Templates covering over 1500 Data Warehouse Architecture project requirements and success criteria:
Examples; 10 of the check box criteria:
- Planning Process Group: In which Data Warehouse Architecture project management process group is the detailed Data Warehouse Architecture project budget created?
- Scope Management Plan: Are risk oriented checklists used during risk identification?
- Procurement Audit: Where an electronic auction was used to bid, were all required specifications given equally to tenderers?
- WBS Dictionary: Identify and isolate causes of favorable and unfavorable cost and schedule variances?
- Procurement Audit: Is free and fair (international) competition promoted by organizational policies and legislation, in line with legal, trade organizations and other policies?
- Variance Analysis: How do you identify and isolate causes of favorable and unfavorable cost and schedule variances?
- Assumption and Constraint Log: Contradictory information between document sections?
- Assumption and Constraint Log: Is there documentation of system capability requirements, data requirements, environment requirements, security requirements, and computer and hardware requirements?
- Scope Management Plan: Has adequate time for orientation & training of Data Warehouse Architecture project staff been provided for in relation to technical nature of the application and the experience levels of Data Warehouse Architecture project personnel?
- Human Resource Management Plan: Were Data Warehouse Architecture project team members involved in detailed estimating and scheduling?
Step-by-step and complete Data Warehouse Architecture Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Data Warehouse Architecture project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data Warehouse Architecture 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 Architecture 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 Architecture 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 Architecture 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 Architecture 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 Warehouse Architecture project with this in-depth Data Warehouse Architecture Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Data Warehouse Architecture 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 Architecture 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 Architecture investments work better.
This Data Warehouse Architecture 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.