Utilize expertise with business partners to collaborate with key partners to understand requirements, drive knowledge into action and support Data Driven Decision Making.
More Uses of the Data Driven Decision Making Toolkit:
- Develop swot and territory analysis and execute sales strategies against analysis with Data Driven Decision Making.
- Suggest opportunities that grow the business while reducing risk of organization exposure, enabling Data Driven Decision Making.
- Be accountable for influencing/recommending Issue Resolution strategies in Supply Chain areas using Data Driven Decision Making across appropriate Key Stakeholder and Management levels.
- Translate analytical findings into concise and easily consumable outputs to support Data Driven Decision Making.
- Foster a culture of Data Driven Decision Making.
- Direct: further Data Driven Decision Making expertise.
- Utilize Data Visualization Tools to promote the use of Data Driven Decision Making.
- Supervise: Data Driven Decision Making expertise.
- Establish that your design complies; designs, develop and recommends new approaches, methodologies and tools for Data Driven Decision Making and planning.
- Steer: showcase Data Driven Decision Making and advanced Problem Solving skills.
- Guide: organization believer of Data Driven Decision Making.
- Audit: Data Driven Decision Making; root cause Failure Analysis.
- Synthesize large sets of data to draw conclusions and perform Data Driven Decision Making.
- Lead: Data Driven Decision Making and judgment.
- Methodize: Data Driven Decision Making.
- Employ model based design and simulation to enable Quantitative Analysis and Data Driven Decision Making.
- Establish: Data Driven Decision Making in depth.
- Promote Data Driven Decision Making and establish key KPIs to evaluate marketing campaign effectiveness.
- Manage to get there, you obsess over iteratively delivering customer value through rapid prototyping and Data Driven Decision Making.
- Audit: mature the communications Data Strategy to improve your capabilities around Data Driven Decision Making.
- Govern: design, develop and implement small to medium complexity predictive and descriptive Data Mining models to support Data Driven Decision Making.
- Supervise: partner with operational leaders to drive Data Driven Decision Making around headcount planning, workforce scheduling and optimization.
Save time, empower your teams and effectively upgrade your processes with access to this practical Data Driven Decision Making Toolkit and guide. Address common challenges with best-practice templates, step-by-step Work Plans and maturity diagnostics for any Data Driven Decision Making related project.
Download the Toolkit and in Three Steps you will be guided from idea to implementation results.
STEP 1: Get your bearings
- The latest quick edition of the Data Driven Decision Making 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 Driven Decision Making improvements can be made.
Examples; 10 of the 999 standard requirements:
- In retrospect, of the projects that you pulled the plug on, what percent do you wish had been allowed to keep going, and what percent do you wish had ended earlier?
- What can you do to improve?
- What else needs to be measured?
- What are the Data Driven Decision Making security risks?
- How is Continuous Improvement applied to Risk Management?
- How do you use Data Driven Decision Making data and information to support organizational Decision Making and innovation?
- What is the output?
- Risk factors: what are the characteristics of Data Driven Decision Making that make IT risky?
- Are you / should you be revolutionary or evolutionary?
- Who is responsible for Data Driven Decision Making?
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 Driven Decision Making book in PDF containing 994 requirements, which criteria correspond to the criteria in...
- The Self-Assessment Excel Dashboard; with the Data Driven Decision Making Self-Assessment and Scorecard you will develop a clear picture of which Data Driven Decision Making 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 Driven Decision Making 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
- 62 step-by-step Data Driven Decision Making Project Management Form Templates covering over 1500 Data Driven Decision Making 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 Data Driven Decision Making project issues be unconditionally tracked through the Issue Resolution process?
- Closing Process Group: Did the Data Driven Decision Making project team have enough people to execute the Data Driven Decision Making 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 Data Driven Decision Making 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?
1.0 Initiating Process Group:
- 1.1 Data Driven Decision Making project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data Driven Decision Making 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 Driven Decision Making 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 Driven Decision Making 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 Driven Decision Making 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 Driven Decision Making project or Phase Close-Out
- 5.4 Lessons Learned
In using the Toolkit you will be better able to:
- Diagnose Data Driven Decision Making 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 Driven Decision Making 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 Driven Decision Making investments work better.
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.