Save time, empower your teams and effectively upgrade your processes with access to this practical Data Architecture Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Data 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 Architecture specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Data 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 993 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 Architecture improvements can be made.
Examples; 10 of the 993 standard requirements:
- Does the conceptual solution architecture support the target performance, business, and data architectures developed in prior steps, along with recommendations for transitioning from the As-Is state to the To-Be state?
- Can you describe the data architecture and relationship between key variables. for example, are data stored in a spreadsheet with one row for each person/entity, a relational database, or some other format?
- Does your department or organizational unit manage or support computing resources (data bases, hardware, web pages, etc.) that are used by people that access those resources from outside your department?
- Have you defined Charging, Privacy, Authentication, Integrity, Interoperability and Management of data at different levels and between various vendors within the edge computing architecture?
- Employees are bringing mobile devices to work and accessing sensitive data, with or without permission from IT Security. and are such devices secure enough for your enterprise?
- Assuming multiple physical locations of large quantities of data, what is the design pattern for a secure, low-latency, possibly real-time, operational and analytic solution?
- Does the organization need to recover data from computers seized as evidence and to present it to law enforcement for investigative use and to prosecutors for use at trial?
- How does the emergence of data-as-a-service providers changed the landscape with respect to the value of internal data vs. external data in terms of intellectual property?
- As you look at building and taking advantage of a robust edge computing ecosystem, defined by a much more diverse and distributed architecture, what are the implications?
- Is the current network architecture and decisons appropriate for wireless networks, sensor networks, real-time networks, enterprise networks, datacenter networks, 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 Architecture book in PDF containing 993 requirements, which criteria correspond to the criteria in...
Your Data 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 Architecture Self-Assessment and Scorecard you will develop a clear picture of which Data 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 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 Architecture projects with the 62 implementation resources:
- 62 step-by-step Data Architecture Project Management Form Templates covering over 1500 Data Architecture project requirements and success criteria:
Examples; 10 of the check box criteria:
- Responsibility Assignment Matrix: Is it safe to say you can handle more work or that some tasks you are supposed to do arent worth doing?
- Risk Register: What is the appropriate level of risk management for this Data Architecture project?
- Planning Process Group: Is the Data Architecture project making progress in helping to achieve the set results?
- Schedule Management Plan: Are the results of quality assurance reviews provided to affected groups & individuals?
- Procurement Audit: Is a cash flow chart prepared and used in determining the timing and term of investments?
- Team Performance Assessment: To what degree do team members feel that the purpose of the team is important, if not exciting?
- Procurement Audit: Are there any complaints of the suppliers and/or end-users?
- Change Management Plan: Has the target training audience been identified and nominated?
- Probability and Impact Assessment: Is the number of people on the Data Architecture project team adequate to do the job?
- Responsibility Assignment Matrix: Is the anticipated (firm and potential) business base Data Architecture projected in a rational, consistent manner?
Step-by-step and complete Data Architecture Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Data Architecture project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data 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 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 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 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 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 Architecture project with this in-depth Data Architecture Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Data 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 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 Architecture investments work better.
This Data 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.