Save time, empower your teams and effectively upgrade your processes with access to this practical Data warehouse Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Data warehouse 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 specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Data warehouse 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 807 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 improvements can be made.
Examples; 10 of the 807 standard requirements:
- Almost every data warehouse project has the same objective: one version of the truth. however, what is data integration worth if there are still many ways most of which are flawed to interpret the data?
- Before developing a data warehouse, it is critical to develop a balanced data warehousing strategy that is appropriate for its needs and its user population. Who is the audience?
- Do you expect data warehouse etl process to have access to individually personally identifiable information (pii), and the etl process will de-identify the data?
- How much importance needs to be given to metadata modeling during data warehouse development and how can you standardize the metadata model in data warehousing?
- How do you identify and develop data sharing technologies, such as aggregate databases, data warehouses, datamarts or dedicated databases?
- What are the main responsibilities within your organization that currently or may require data from the prospective data warehouse?
- Did the planning process consider decentralized interoperable data storage/access vs. a centralized fused data warehouse approach?
- What tier data server has been identified for the storage of decision support data contained in a data warehouse?
- What is the volume/years of the legacy data (gigabytes, terabytes) that will be transferred into the data warehouse?
- What is the technical model for interfacing (e.g. messaging, data warehouse, email, robotics, data download, etc.)?
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 book in PDF containing 807 requirements, which criteria correspond to the criteria in…
Your Data warehouse 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 Self-Assessment and Scorecard you will develop a clear picture of which Data warehouse 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 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 projects with the 62 implementation resources:
- 62 step-by-step Data warehouse Project Management Form Templates covering over 6000 Data warehouse project requirements and success criteria:
Examples; 10 of the check box criteria:
- Project Scope Statement: Are there issues that could affect the existing requirements for the result, service, or product if the scope changes?
- Scope Management Plan: Can the Data warehouse project team do several activities in parallel?
- Project Charter: Does the Data warehouse project need to consider any special capacity or capability issues?
- Source Selection Criteria: Do you want to wait until all offeror s have been evaluated?
- Activity List: What is the least expensive way to complete the Data warehouse project within 40 weeks?
- Lessons Learned: Is your organization willing to expose problems or mistakes for the betterment of the collective whole, and can you do this in a way that does not intimidate employees or workers?
- Quality Management Plan: Have all involved stakeholders and work groups committed to the Data warehouse project?
- Procurement Audit: Are advance payments to employees properly authorized and controlled?
- Scope Management Plan: Are Vendor contract reports, reviews and visits conducted periodically?
- Initiating Process Group: Realistic – Are the desired results expressed in a way that the team will be motivated and believe that the required level of involvement will be obtained?
Step-by-step and complete Data warehouse Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Data warehouse project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data warehouse 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 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 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 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 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 project with this in-depth Data warehouse Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Data warehouse 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 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 investments work better.
This Data warehouse 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.