Undertake Exploratory Data Analysis projects to help the Financial Health Network uncover new insights, maximize the value of its Data Assets, and apply the data to further Financial Health Networks financial health mission.

More Uses of the Exploratory Data Analysis Toolkit:


• Be accountable for performing Exploratory Data Analysis on new data sets.
  
  

• Develop queries to extract data for incident investigation and perform Exploratory Data Analysis to identify Emerging Threats.
  
  

• Pilot: Exploratory Data Analysis with time series and non time series data.
  
  

• Be accountable for completing Exploratory Data Analysis and visualization.
  
  

• Steer: conduct Exploratory Data Analysis with technical and Business Teams.
  
  

• Perform Exploratory Data Analysis on existing products and datasets.
  
  

• Interpret results using a variety of techniques, ranging from simple Exploratory Data Analysis to Statistical Modeling.
  
  

• Use Exploratory Data Analysis techniques to identify meaningful relationships, patterns, or trends from Complex Data sets and discover opportunities in datasets to support Decision Making.
  
  

• Pilot: conduct advance Exploratory Data Analysis to discover statistically significant patterns and opportunities in your data.
  
  

• Drive: conduct Exploratory Data Analysis from Complex Data sources and build key data sets to Support Organization mission Operational Analysis.
  
  

• Systematize: Exploratory Data Analysis, Data Visualization, statistical Data Analysis and Data Modeling.
  
  

• Formulate: conduct Exploratory Data Analysis and determine appropriate linkages across disparate data sources.
  
  

• Perform Exploratory Data Analysis, analytical modeling, model technique identification, and Data Driven Decision Support.
  
  

• Head: Exploratory Data Analysis to drive significant Business Impact.
  
  

• Methodize: descriptive statistics and Exploratory Data Analysis.
  
  

• Be accountable for performing Exploratory Data Analysis to understand relationships, opportunities to influence outcomes and how to attribute cross channel outcomes.
  
  

• Perform Exploratory Data Analysis and Data Pre Processing to arrive at patterns and trends.
  
  

• Perform Exploratory Data Analysis to identify opportunities for Qualitative Research to explore the whys.
  
  

• Audit: conduct Exploratory Data Analysis from Complex Data sources and build key data sets to Support Organizations mission.
  
  

• Confirm your strategy uses Exploratory Data Analysis techniques to identify meaningful relationships, patterns, or trends from Complex Data.
  
  

• Perform Exploratory Data Analysis and Statistical Analysis and present results to Internal Stakeholders.
  
  


Save time, empower your teams and effectively upgrade your processes with access to this practical Exploratory Data Analysis Toolkit and guide. Address common challenges with best-practice templates, step-by-step Work Plans and maturity diagnostics for any Exploratory 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 Exploratory Data Analysis specific requirements:

STEP 1: Get your bearings

Start with...


• The latest quick edition of the Exploratory 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 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 Exploratory Data Analysis improvements can be made.

Examples; 10 of the 999 standard requirements:


1. What resources or support might you need?
   
   

2. Can you do all this work?
   
   

3. Who will facilitate the team and process?
   
   

4. Do you have a Exploratory Data Analysis success story or case study ready to tell and share?
   
   

5. What do you need to qualify?
   
   

6. What drives O&M cost?
   
   

7. Who controls critical resources?
   
   

8. Who is the main stakeholder, with ultimate responsibility for driving Exploratory Data Analysis forward?
   
   

9. How long to keep data and how to manage retention costs?
   
   

10. How can you improve Exploratory 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 Exploratory Data Analysis book in PDF containing 994 requirements, which criteria correspond to the criteria in...


Your Exploratory 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 Exploratory Data Analysis Self-Assessment and Scorecard you will develop a clear picture of which Exploratory 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 Exploratory 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 Exploratory Data Analysis projects with the 62 implementation resources:


• 62 step-by-step Exploratory Data Analysis Project Management Form Templates covering over 1500 Exploratory Data Analysis project requirements and success criteria:


Examples; 10 of the check box criteria:


1. Cost Management Plan: Eac -estimate at completion, what is the total job expected to cost?
   
   

2. Activity Cost Estimates: In which phase of the Acquisition Process cycle does source qualifications reside?
   
   

3. Project Scope Statement: Will all Exploratory Data Analysis project issues be unconditionally tracked through the Issue Resolution process?
   
   

4. Closing Process Group: Did the Exploratory Data Analysis Project Team have enough people to execute the Exploratory Data Analysis Project Plan?
   
   

5. Source Selection Criteria: What are the guidelines regarding award without considerations?
   
   

6. Scope Management Plan: Are Corrective Actions taken when actual results are substantially different from detailed Exploratory Data Analysis Project Plan (variances)?
   
   

7. Initiating Process Group: During which stage of Risk planning are risks prioritized based on probability and impact?
   
   

8. Cost Management Plan: Is your organization certified as a supplier, wholesaler, regular dealer, or manufacturer of corresponding products/supplies?
   
   

9. Procurement Audit: Was a formal review of tenders received undertaken?
   
   

10. Activity Cost Estimates: What procedures are put in place regarding bidding and cost comparisons, if any?


 
Step-by-step and complete Exploratory Data Analysis Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:


• 1.1 Exploratory Data Analysis project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:


• 2.1 Exploratory 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 Exploratory 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 Exploratory 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 Exploratory 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 Exploratory 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 Exploratory Data Analysis project with this in-depth Exploratory Data Analysis Toolkit.

In using the Toolkit you will be better able to:


• Diagnose Exploratory 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 Exploratory 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 Exploratory Data Analysis investments work better.

This Exploratory 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.