Data Warehouse Toolkit

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

Start with...


• 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 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 improvements can be made.

Examples; 10 of the 999 standard requirements:


1. Do you have to spend a lot of time getting to know, understanding and mastering all the business processes in order to design the data warehouse later?
   
   

2. How can add extra effort, there are about copying data on write data schema warehouse, if the data is seriously embarking upon the star schema one?
   
   

3. Which are the top products whose number of sold pieces in the months chosen by the user compared to the respective month ago has increased mostly?
   
   

4. How does the information integration system process contribute to supporting source data in your organizations data warehouse?
   
   

5. Do you consider analytic databases and applications to be a legitimate separate category from data warehouses and data marts?
   
   

6. Are there loss control elements that should be factored in either based on historical data or risk inspection outcome?
   
   

7. Do you currently use an integration to replicate ServiceNow data to an external data repository as a data warehouse?
   
   

8. What situation, where data transformation would be necessary in preparing data to be loaded into a data warehouse?
   
   

9. Does your organization offer distinct products and services that can also be interfaced or purchased as packages?
   
   

10. What is separation of concerns , the primary architectural principle that drives modern data warehouse design?
    
    


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 999 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 1500 Data Warehouse project requirements and success criteria:


Examples; 10 of the check box criteria:


1. Activity Duration Estimates: Consider the changes in the job market for information technology workers. How does the job market and current state of the economy affect human resource management?
   
   

2. Quality Audit: What has changed/improved as a result of the review processes?
   
   

3. Project Portfolio management: Annually (or more frequently) prioritize the overall Data Warehouse project portfolio?
   
   

4. Executing Process Group: What Data Warehouse projects and services are in the portfolio of your organization?
   
   

5. Team Member Performance Assessment: What entity leads the process, selects a potential restructuring option and develops the plan?
   
   

6. Requirements Management Plan: In case of software development; Should you have a test for each code module?
   
   

7. Stakeholder Management Plan: Is it possible to track all classes of Data Warehouse project work (e.g. scheduled, un-scheduled, defect repair, etc.)?
   
   

8. Duration Estimating Worksheet: When do the individual activities need to start and finish?
   
   

9. Stakeholder Management Plan: Do all stakeholders know how to access this repository and where to find the Data Warehouse project documentation?
   
   

10. Project Performance Report: To what degree does the teams purpose constitute a broader, deeper aspiration than just accomplishing short-term goals?


 
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


Results

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.