Data Analysis Toolkit

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

Start with...


• 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 998 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 998 standard requirements:


1. What real time image and data analysis techniques are best suited to provide the required machine vision and perception for an effective intersection safety system?
   
   

2. Are branch managers scheduling enough time for specific employees to perform business development activities to align with role expectations and drive sales?
   
   

3. What is data modeling and why is it important for your organization to build an effective data analytics system and getting optimum roi on data investments?
   
   

4. What requests are you receiving from management, the board, or other stakeholders for enhanced reporting and/or new uses of data analytics or automation?
   
   

5. How does big data analytics create relationship innovations and sustain competitive advantages in the context of the microfinance industry?
   
   

6. What role does leadership play in fostering a culture of ethical data usage and ensuring compliance with the established framework?
   
   

7. Do you see challenges for the use of big data analytics in the decision making process due to your organizational structure?
   
   

8. What is the person time required for each review step, and what are the timelines to complete systematic reviews?
   
   

9. What is the time required for each review step and what is the timeline to complete a systematic review?
   
   

10. How do the methods applied to individual steps of the review process impact review time and timelines?
    
    


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 998 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 1500 Data Analysis project requirements and success criteria:


Examples; 10 of the check box criteria:


1. WBS Dictionary: Is undistributed budget limited to contract effort which cannot yet be planned to CWBS elements at or below the level specified for reporting to the Government?
   
   

2. Cost Baseline: Have the resources used by the Data Analysis project been reassigned to other units or Data Analysis projects?
   
   

3. Probability and Impact Matrix: What will be the environmental impact of the Data Analysis project?
   
   

4. Source Selection Criteria: When should debriefings be held and how should they be scheduled?
   
   

5. Project Portfolio management: Why is Data Analysis project portfolio management (PPM) important?
   
   

6. Cost Management Plan: Milestones – what are the key dates in executing the contract plan?
   
   

7. Team Directory: Who are your stakeholders (customers, sponsors, end users, team members)?
   
   

8. Human Resource Management Plan: How to convince to employees that it is a necessary process?
   
   

9. Quality Management Plan: What would be the next steps or what else should you do at this point?
   
   

10. Probability and Impact Matrix: Risk may be made during which step of risk management?


 
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


Results

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.