Save time, empower your teams and effectively upgrade your processes with access to this practical Microsoft Azure SQL Data Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Microsoft Azure SQL Data 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 Microsoft Azure SQL Data specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Microsoft Azure SQL Data 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 990 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Microsoft Azure SQL Data improvements can be made.
Examples; 10 of the 990 standard requirements:
- Does your organization use information technology and various types of software with the aim of completing orders from customers / users (choose one of the most complete answers)?
- Which are the most important potential benefits to articulate in order to attract business sponsorship of BI, analytics, and data warehousing projects in your organization?
- Does the system determine the appropriate price for a particular customer order using the pricing models and formulas defined in the Pricing Method Definition activity?
- Does your organization need to be able to reduce the effort spent managing server platforms by leveraging Platform as a Service ( as Azure SQL databases and Azure AD)?
- How difficult is it to adjust or update your organizations BI, analytics, and data warehousing systems when changes are made to data elements or management processes?
- What are the top business and technology tasks that would benefit if your organization implemented the forms of data warehouse modernization you are contemplating?
- What is the business value to extending your current application suites with new data sources (like social media) with analytics to discover interesting patterns?
- Is your organization amenable to allowing the NDA to be in the selected partners organizations name, rather than individual employees of the selected partner?
- What are the other data sources that need to be integrated from a reporting perspective (either into the warehouse or directly as a source for reporting)?
- How does an escalation in the business sides role affect the perception of accountability for the success of BI, analytics, and data warehousing projects?
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 Microsoft Azure SQL Data book in PDF containing 990 requirements, which criteria correspond to the criteria in...
Your Microsoft Azure SQL Data 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 Microsoft Azure SQL Data Self-Assessment and Scorecard you will develop a clear picture of which Microsoft Azure SQL Data 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 Microsoft Azure SQL Data 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 Microsoft Azure SQL Data projects with the 62 implementation resources:
- 62 step-by-step Microsoft Azure SQL Data Project Management Form Templates covering over 1500 Microsoft Azure SQL Data project requirements and success criteria:
Examples; 10 of the check box criteria:
- Project Scope Statement: Are there backup strategies for key members of the Microsoft Azure SQL Data project?
- Procurement Audit: Is there no evidence of unauthorized release of information or seemingly unnecessary contacts with bidders personnel during the evaluation and negotiation processes?
- Cost Management Plan: Are quality inspections and review activities listed in the Microsoft Azure SQL Data project schedule(s)?
- Team Performance Assessment: How do you keep key people outside the group informed about its accomplishments?
- Project or Phase Close-Out: Who are the Microsoft Azure SQL Data project stakeholders and what are roles and involvement?
- Probability and Impact Matrix: Is the Microsoft Azure SQL Data project cutting across the entire organization?
- Lessons Learned: Was the purpose of the Microsoft Azure SQL Data project, the end products and success criteria clearly defined and agreed at the start?
- Quality Audit: How does your organization know that its staffing profile is optimally aligned with the capability requirements implicit (or explicit) in its Strategic Plan?
- Planning Process Group: What factors are contributing to progress or delay in the achievement of products and results?
- Source Selection Criteria: What should a Draft Request for Proposal (DRFP) include?
Step-by-step and complete Microsoft Azure SQL Data Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Microsoft Azure SQL Data project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Microsoft Azure SQL Data project Management Plan
- 2.2 Scope Management Plan
- 2.3 Requirements Management Plan
- 2.4 Requirements Documentation
- 2.5 Requirements Traceability Matrix
- 2.6 Microsoft Azure SQL Data 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 Microsoft Azure SQL Data 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 Microsoft Azure SQL Data 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 Microsoft Azure SQL Data project or Phase Close-Out
- 5.4 Lessons Learned
With this Three Step process you will have all the tools you need for any Microsoft Azure SQL Data project with this in-depth Microsoft Azure SQL Data Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Microsoft Azure SQL Data 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 Microsoft Azure SQL Data 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 Microsoft Azure SQL Data investments work better.
This Microsoft Azure SQL Data 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.