Direct Data Digitalization: work closely with the electronics and hardware departments to ensure design of electronics and hardware can support the software requirements.

More Uses of the Data Digitalization Toolkit:


• Manage Data Digitalization: Customer Master Data specialization.
  
  

• Support the ongoing development of the enterprise security strategy that improves the security posture for your employees and data through authentication and PKI.
  
  

• Confirm your organization complies; as the technological landscape evolves, so too must you innovate solutions to meet your most stringent and demanding users at the crux of challenges.
  
  

• Standardize Data Digitalization: reliant help IT Leaders with multiple Data Centers reduce the cost, hassle and headaches of maintaining server, storage and network equipment.
  
  

• Ensure your focus should on helping customers build sustainable Big Data and analytics systems that are easy to manage, maintain and grow.
  
  

• Explore emerging capabilities and Artificial intelligence/Machine Learning for flawless integration and application between Data Scientist, functional specialists and key user cases.
  
  

• Manage Data Scientists, Data Engineers, and Software Engineers to develop and support the internal tools used for pricing, underwriting, marketing, product and Operations Support.
  
  

• Systematize Data Digitalization: document review Project Management Case Management, task assignment/execution, Financial Management and Project Data tracking.
  
  

• Provide Design Support to internal Engineering teams for optimal usage of data stores, data Growth Planning, production workload optimization, messaging, caching and service platform.
  
  

• Develop protocol and program data interfaces across information platforms that are used for analytics and Business/ Process Intelligence as part of a digital ecosystem.
  
  

• Ensure you foster; understand and expand the current manufacturing data eco system, by mapping existing data and data gaps, in order to enable identification of sources of value with analytics revenue growth or performance improvements.
  
  

• Analyze complex Business Processes/requirements and convert to technical application specifications.
  
  

• Develop resources to empower Data Access and Self Service so your expertise can be leveraged where it is most impactful.
  
  

• Enable others in your organization to utilize your work by onboarding new metrics into your Self Serve data system and the experimentation platform.
  
  

• Be accountable for executing Test Activities and Data Collection.
  
  

• Execute technical feasibility assessments and project estimates for moving databases and Data Processing to Azure.
  
  

• Secure that your strategy develops and utilizes key data indicators to monitor processes in order to streamline workflow, design operations, and improve quality, service, and performance.
  
  

• Lead Data Digitalization: monitor regulatory guidelines compliance related guidance and emerging Industry Standards to determine impact on the enterprise Data Architecture.
  
  

• Develop and maintain Data Governance processes to support the execution of Data Governance framework, policies and standards; keep up to date with changing data regulations and policies.
  
  

• Arrange that your group contributes to the identification of Data Design options to meet Business Requirements for large and complex initiatives spanning multiple applications.
  
  

• Warrant that your enterprise complies; remains current on new developments and techniques in Database Management and Data Storage.
  
  

• Ensure you persuade; build a Data Structure and reporting process by working through various business parameters, which establish truth in data.
  
  

• Ensure you expand; understand and expand the current manufacturing data eco system, by mapping existing data and data gaps, in order to enable identification of sources of value with analytics revenue growth or performance improvements.
  
  

• Support to the Office of Chief Technology Officer/Information security in identifying strategies and long term technical direction to provide continuous protection of critical assets, Data And Technology.
  
  

• Ensure your organization analyzes and develops product specifications and statistical data to establish quality, reliability, and expectancy of finished products.
  
  

• Arrange that your group serves as the project lead for determining and/or developing research Design Methodologies, Data Analysis, and Statistical Modeling procedures to meet operational and strategic organizational needs.
  
  

• Develop and analyze statistical data and product / process performance to recommend and implement improvements in targeted areas of your organization.
  
  

• Develop analysis action plans by identifying and defining scope of problem, choosing appropriate metrics and analytic techniques, directing Data Gathering, preparation, and modeling, and validating modeling assumptions.
  
  

• Evaluate Data Digitalization: continuously monitors and evaluates team workload and organizational efficiency with the support of IT systems, data and analysis and team feedback and makes appropriate changes to meet Business Needs.
  
  

• Ensure Data Quality and implement tools and framework for automating the identification of Data Quality issues.
  
  

• Control Data Digitalization: innovation and digitalization innovation and digitalization.
  
  

• Manage work with business users to establish requirements and design, configure, and test solutions to business specifications.
  
  


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

STEP 1: Get your bearings

Start with...


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

Examples; 10 of the 999 standard requirements:


1. Can you do all this work?
   
   

2. How is Data Digitalization project cost planned, managed, monitored?
   
   

3. What is in scope?
   
   

4. For estimation problems, how do you develop an estimation statement?
   
   

5. Does Data Digitalization analysis isolate the fundamental causes of problems?
   
   

6. Who do you report Data Digitalization results to?
   
   

7. What qualifications are needed?
   
   

8. What are your results for key measures or indicators of the accomplishment of your Data Digitalization Strategy and action plans, including building and strengthening core competencies?
   
   

9. Are assumptions made in Data Digitalization stated explicitly?
   
   

10. How do you improve Data Digitalization service perception, and satisfaction?
    
    


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 Digitalization book in PDF containing 994 requirements, which criteria correspond to the criteria in...


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


• 62 step-by-step Data Digitalization Project Management Form Templates covering over 1500 Data Digitalization 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 Data Digitalization project issues be unconditionally tracked through the Issue Resolution process?
   
   

4. Closing Process Group: Did the Data Digitalization Project Team have enough people to execute the Data Digitalization 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 Data Digitalization 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 Data Digitalization Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:


• 1.1 Data Digitalization project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:


• 2.1 Data Digitalization 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 Digitalization 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 Digitalization 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 Digitalization 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 Digitalization 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 Digitalization project with this in-depth Data Digitalization Toolkit.

In using the Toolkit you will be better able to:


• Diagnose Data Digitalization 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 Digitalization 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 Digitalization investments work better.

This Data Digitalization 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.