Head Data Centricity: Service Design ensures the support team is operationally ready for new products and services and to help drive continuous membership and member support performance improvements.

More Uses of the Data Centricity Toolkit:


• Confirm your venture establishes and maintains organization wide Policies and Procedures that ensure Data Security and compliance policies and practices align with all applicable Regulatory Requirements.
  
  

• Engage with departments and stakeholders across your organization to communicate the importance of Open Data, analytics, and internal data sharing for better services and Decision Making.
  
  

• Use Data And Analytics to problem solve and contribute to Team Goals by sharing ideas and opinions.
  
  

• Orchestrate Data Centricity: design and lead ERP projects as platform installations, upgrades and migrations, data extracts for financial or audit purposes, integration with other mobile and cloud apps.
  
  

• Make sure that your project utilizes Agile Software Development practices, data and testing standards, Code Review, source code management, Continuous Delivery, and Software Architecture.
  
  

• Devise Data Centricity: monitor and process Inbound And Outbound data files leveraging available tools and reporting.
  
  

• Arrange that your organization complies; conducts testing and system validation to troubleshoot issues related to Data Management and system.
  
  

• Provide analysis and investigation of security related data (via SIEM/SOAR) from a wide range of security products and devices to identify trends and anomalies indicative of malicious activities.
  
  

• Perform mass data imports/exports using the API or various import tools.
  
  

• Ensure your business serves as the primary point of contact for vendors for SaaS and on premise applications for Problem Resolution, upgrades, Performance Tuning and reoccurring Data Processing.
  
  

• Ensure you oversee; build a strategy for scaled support operations by continuous Process Improvement, automation, and Data Analysis to find opportunities that drive customer delight.
  
  

• Ensure you consider; participated in monitoring, testing, and performing recovery operations with stored and archived data and images using network storage devices.
  
  

• Organize Data Centricity: Data Scientist to contribute to your team as you build out your analytic capabilities.
  
  

• Make Data Driven decisions design and conduct supplier Risk Assessments, develop tier/relationship based mitigation strategies and evaluate remediation tracking.
  
  

• Manage work with Data Warehousing concepts, Relational Databases, structures, and ETL Best Practices in finance, operations, enterprise environments.
  
  

• TranslatE Business oriented Information Requirements into technical Data Management solutions by analyzing and implementing enterprise Data Strategies.
  
  

• Pilot Data Centricity: continuously improve systems, ensuring data into and from thE Learning system enables a human centered approach.
  
  

• Ensure your organization develops a mastery of all available data sources to effectively serve as your organizational expertise on from which databases data can be obtained.
  
  

• Ensure you have created and/or maintained a Data Privacy Program in a corporate environment (CCPA, GDPR, other).
  
  

• Perform analysis using Data Science techniques on structured and Unstructured Data sets, and develop algorithms for targeted Business Needs.
  
  

• Lead Project Team meetings in order to provide ideas, methods or changes to processes to improve Customer Satisfaction and overall efficiencies.
  
  

• Ensure your team develops and updates spatial views and data views in hand with Enterprise Data Warehouse Team.
  
  

• Orchestrate Data Centricity: review data for key raw materials on supplier service performance to identify root cause for the misses, and work with sourcing and suppliers to improve performance and implement Corrective Actions to improve Internal Processes.
  
  

• Initiate Data Centricity: work closely with other members of the Digital Advertising Operations Team to communicate digital campaign fulfillment needs.
  
  

• Ensure you officiate; lead, review, and approve designs for existing Data Center upgrades, which improve availability/efficiency.
  
  

• Warrant that your organization serves as a data systems analyst conduit between business partners, Actuarial IT development team and valuation business partners.
  
  

• Assure your venture complies; functions as legal expert in one or more defined subject matter areas of Data Privacy, Data Protection and security, Cybersecurity, and corporate.
  
  

• Warrant that your business evaluates and implements data solutions with various Big Data Technologies.
  
  

• Establish trusted advisor relationship with Customer Management and teams on Data Center Infrastructure areas and future technology trends.
  
  

• Manage work with the Chief Data Officers on implementing the Data Management Roadmap, inclusive developing a Data Quality program, implementing Data Retention, defining new data Policies And Standards, and developing communicating and training programs.
  
  

• Govern Data Centricity: shape current and future products, marketing strategies, and Customer Centricity ideas through your feedback.
  
  

• Orchestrate Data Centricity: implementation and support of Web Application firewall capabilities into corporate development SDLC processes across Public Cloud and on premise environments.
  
  


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

STEP 1: Get your bearings

Start with...


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

Examples; 10 of the 999 standard requirements:


1. Have all basic functions of Data Centricity been defined?
   
   

2. What information qualified as important?
   
   

3. Who will facilitate the team and process?
   
   

4. What are your outputs?
   
   

5. What happens if Cost Savings do not materialize?
   
   

6. How do you deal with Data Centricity changes?
   
   

7. When should you bother with diagrams?
   
   

8. Who is gathering information?
   
   

9. How likely is the current Data Centricity plan to come in on schedule or on budget?
   
   

10. What tools do you use once you have decided on a Data Centricity strategy and more importantly how do you choose?
    
    


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


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


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

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

1.0 Initiating Process Group:


• 1.1 Data Centricity project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:


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

In using the Toolkit you will be better able to:


• Diagnose Data Centricity 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 Centricity 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 Centricity investments work better.

This Data Centricity 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.