Lead systems Requirements Analysis, requirements documentation, Business Process Modeling/design, User Acceptance Testing, Quality Assurance, business Data Management, Logical Data Modeling, lead Systems Integration, Test Automation, Defect Tracking.
More Uses of the Logical Data Model Toolkit:
- Ensure physical and Logical Data Models are designed with an extensible philosophy to support future, unknown Use Cases with minimal rework.
- Control: conduct business Process Analysis, reengineering and physical/Logical Data Modelling.
- Ensure you steer; build conceptual and Logical Data Models for stakeholders and management.
- Organize data at the macro level using conceptual / Logical Data Models as a standard for the golden source and for consuming applications to inherit.
- Develop and/or modify Logical Data Models enabling and enforcing concordance and mapping between system, subsystem, interface, mission thread, process, and other data sets.
- Establish that your strategy analyzes Complex Data elements and systems, Data Flow, dependencies, and relationships in order to contribute to conceptual physical and Logical Data Models.
- Transform Logical Data Models into physical database designs while optimizing the performance and maintainability of the physical database.
- Analyze source systems to understand the data and create Logical Data Model.
- Assure your organization performs logical and Physical Data Modeling, designs relational database models, and creates physical Data Models from Logical Data Models.
- Ensure you research; build the enterprise conceptual and Logical Data Models for analytics, operational and Data Mart structures in accordance to industry Best Practices models.
- Support conceptual and Logical Data Modeling efforts for Strategic Initiatives.
- Establish: conceptual and Logical Data Modeling in relational and non relational structures.
- Confirm your strategy ensures integration of project Logical Data Model into enterprise conceptual Data Model.
- Oversee: design and build conceptual and Logical Data Models from Business Requirements.
- Ensure you propel; build conceptual and Logical Data Models, assess data schemas, Metadata, and schema migrations.
- Develop a conceptual Data Model, Logical Data Model, and Physical Data Model and support Application Development teams with database queries, troubleshooting, and optimization.
- Make sure that your team maintains integrated Logical Data Models to understand data and its interdependencies regardless of its usage pattern.
- Be accountable for using Logical Data Models, help build Data Marts for analysis to determine trends and significant data relationships across different functional areas.
- Ensure your corporation develops and recommends Architecture Framework based on the Logical Data Model for operational stores, Data Marts, and Content Management stores.
- Govern: Logical Data Models, Validation Rules, screen design, report design, Interface Design, Batch Processing design, etc.
- Establish that your organization communicates and maintains Master Data, Metadata, Data Management Repositories, Logical Data Models, Data Standards.
- Analyze Business Requirements, design Logical Data Models and systems functions and present to stakeholders.
Save time, empower your teams and effectively upgrade your processes with access to this practical Logical Data Model Toolkit and guide. Address common challenges with best-practice templates, step-by-step Work Plans and maturity diagnostics for any Logical Data Model 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 Logical Data Model specific requirements:
STEP 1: Get your bearings
Start with...
- The latest quick edition of the Logical Data Model 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 Logical Data Model improvements can be made.
Examples; 10 of the 999 standard requirements:
- Have design-to-cost goals been established?
- Are you able to realize any cost savings?
- What is measured? Why?
- Will there be any necessary staff changes (redundancies or new hires)?
- Have all of the relationships been defined properly?
- How do you take a forward-looking perspective in identifying Logical Data Model research related to market response and models?
- Can you do all this work?
- Have all basic functions of Logical Data Model been defined?
- How do senior leaders actions reflect a commitment to the organizations Logical Data Model values?
- How do you control the overall costs of your work processes?
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 Logical Data Model book in PDF containing 994 requirements, which criteria correspond to the criteria in...
Your Logical Data Model 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 Logical Data Model Self-Assessment and Scorecard you will develop a clear picture of which Logical Data Model 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 Logical Data Model 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 Logical Data Model projects with the 62 implementation resources:
- 62 step-by-step Logical Data Model Project Management Form Templates covering over 1500 Logical Data Model project requirements and success criteria:
Examples; 10 of the check box criteria:
- Cost Management Plan: Eac -estimate at completion, what is the total job expected to cost?
- Activity Cost Estimates: In which phase of the Acquisition Process cycle does source qualifications reside?
- Project Scope Statement: Will all Logical Data Model project issues be unconditionally tracked through the Issue Resolution process?
- Closing Process Group: Did the Logical Data Model Project Team have enough people to execute the Logical Data Model Project Plan?
- Source Selection Criteria: What are the guidelines regarding award without considerations?
- Scope Management Plan: Are Corrective Actions taken when actual results are substantially different from detailed Logical Data Model Project Plan (variances)?
- Initiating Process Group: During which stage of Risk planning are risks prioritized based on probability and impact?
- Cost Management Plan: Is your organization certified as a supplier, wholesaler, regular dealer, or manufacturer of corresponding products/supplies?
- Procurement Audit: Was a formal review of tenders received undertaken?
- Activity Cost Estimates: What procedures are put in place regarding bidding and cost comparisons, if any?
Step-by-step and complete Logical Data Model Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Logical Data Model project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Logical Data Model Project Management Plan
- 2.2 Scope Management Plan
- 2.3 Requirements Management Plan
- 2.4 Requirements Documentation
- 2.5 Requirements Traceability Matrix
- 2.6 Logical Data Model 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 Logical Data Model 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 Logical Data Model 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 Logical Data Model 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 Logical Data Model project with this in-depth Logical Data Model Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Logical Data Model 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 Logical Data Model 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 Logical Data Model investments work better.
This Logical Data Model 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.