Save time, empower your teams and effectively upgrade your processes with access to this practical Data analysis Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Data analysis 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 analysis specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Data analysis 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 719 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 analysis improvements can be made.
Examples; 10 of the 719 standard requirements:
- How can software be integrated with a data analysis middleware, to help achieve performance benefits for local and remote data analysis?
- In descriptive data analysis, you want to understand your data by asking questions such as, Whats the distribution of my data?
- What are some innovative ways that data mining big data and data analysis could provide new and useful products?
- Do your employees understand basic principles of data analysis, transformation, statistics, and visualization?
- What is the difference between Data Analytics Data Analysis Data Mining and Data Science?
- What tools do you find the most useful for data mining data analysis I e data science?
- Were any designed experiments used to generate additional insight into the data analysis?
- Can your preservation and data analysis consultants speak to lawyers, judges and jurors?
- To what extent does data analysis and review contribute to our organisational learning?
- What are the best consulting firms specializing in big data analysis?
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 analysis book in PDF containing 719 requirements, which criteria correspond to the criteria in...
Your Data analysis 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 analysis Self-Assessment and Scorecard you will develop a clear picture of which Data analysis 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 analysis 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 analysis projects with the 62 implementation resources:
- 62 step-by-step Data analysis Project Management Form Templates covering over 6000 Data analysis project requirements and success criteria:
Examples; 10 of the check box criteria:
- Project Schedule: Is Data analysis project work proceeding in accordance with the original Data analysis project schedule?
- Stakeholder Analysis Matrix: Are there different rules or organizational models for men and women?
- Project Portfolio management: When starting a new PMO, what are the steps that need to be taken to have a final resource portfolio?
- Change Request: Who is responsible for the implementation and monitoring of all measures?
- Team Performance Assessment: Lack of method variance in self-reported affect and perceptions at work: Reality or artifact?
- Project Performance Report: To what degree is there centralized control of information sharing?
- Scope Management Plan: Are there any scope changes proposed for the previously authorized Data analysis project?
- Planning Process Group: How well will the chosen processes produce the expected results?
- Cost Management Plan: Are key risk mitigation strategies added to the Data analysis project schedule?
- WBS Dictionary: Are the rates for allocating costs from each indirect cost pool to contracts updated as necessary to ensure a realistic monthly allocation of indirect costs without significant year-end adjustments?
Step-by-step and complete Data analysis Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Data analysis project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data analysis 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 analysis 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 analysis 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 analysis 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 analysis 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 analysis project with this in-depth Data analysis Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Data analysis 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 analysis 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 analysis investments work better.
This Data analysis 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.