Evaluate Data Economy: network with key influencers and get referrals to spread your brand message and make valuable connections.

More Uses of the Data Economy Toolkit:


• Identify opportunities to enhance standards and incorporate Best Practices in the areas of data wrangling, Data Visualization, Data Integration, and Business Decision Modeling (BDM).
  
  

• Increase visibility and Performance Tracking to thE Business by helping to build, maintain, and improve your data and reporting foundation.
  
  

• Standardize Data Economy: work closely with your operations and other Development Teams to optimize Source Data Acquisition Processes and strategies.
  
  

• Confirm your organization complies; technologies are used to deliver your products to Software Engineers, actuaries, Data Scientists and Reporting And Analytics teams.
  
  

• Be accountable for applying expertise in quantitative and Data Analysis to see beyond the numbers and understanding how it could impact your product offerings.
  
  

• Be accountable for analyzing data or information identifying the underlying principles, reasons, or facts of information by breaking down information or data into separate parts.
  
  

• Oversee Data Economy: own and lead the Data Center ssd Product Marketing efforts on the front end while working closely with technical marketing and Product Development teams on the Back End.
  
  

• Warrant that your planning complies; monitors, review and analyzes the external environment to support the research and analysis done with data extracted form internal sources.
  
  

• Ensure you establish; understand and advise on the privacy requirements applicable to complex personal Data Flows across the Data Lifecycle.
  
  

• Ensure you reorganize; lead development of custom predictive and prescriptive algorithms interfacing with large data sets, based on principles from statistics, Machine Learning, and Operations Research.
  
  

• Audit Data Economy: regularly analyze data and metrics to identify key opportunities to improve individual and overall affiliate KPI performance, increase scale, and enhance efficiency of marketing spend.
  
  

• Approve and promote Data Governance process and standards throughout thE Business.
  
  

• Ensure data accuracy by developing standardized structures and practices for dissemination and communication with appropriate departments.
  
  

• Solidify expertise with big Data Technologies as Hadoop, Apache Spark, Nosql Databases, etc.
  
  

• Analyze and interpret validation Test Data to determine whether systems or processes have met validation criteria or to identify root causes of deviations.
  
  

• Be accountable for understanding modern Data Warehouse capabilities and technologies as real time, Cloud and Big Data.
  
  

• Be accountable for locating and Extracting Data from a variety of sources for use in analysis, models and Project Development.
  
  

• Be certain that your organization complies; plans, organize, controls and directs operations and activities involved in the research, review, analysis, interpretation and reporting of variety data and information used in assessing institutional effectiveness.
  
  

• Be certain that your business complies; audits the accounting and statistical data of various departments, divisions and locations in order to verify accuracy in compliance with plans, Policies and Procedures prescribed by management.
  
  

• Ensure your operation brings expertise in Data Visualization techniques in Developing Business analytics and semantic Data Access requirements.
  
  

• Methodize Data Economy: mine data from primary and secondary sources and leverage Data Visualization for ongoing reporting.
  
  

• Govern Data Economy: consistently deliver actionable insights that drive data based Decision Making on a wide range of initiatives from customer relations, Workforce Management, and Quality Assurance.
  
  

• Standardize Data Economy: partner with Data Analysts and Product Managers on the end to end process of Test Design, implementation and analysis.
  
  

• Formulate Data Economy: conduct site surveys for organization users requiring adds, moves, and changes, to determine the needs for hardware, software and/or Data Communication writing.
  
  

• Ensure your strategy stands up and continuously develops the Data Steward capability ensuring key business areas are properly represented in the Data Stewardship community.
  
  

• Ensure you understand the types of metrics content can impact and how to use that data to improve performance over time.
  
  

• Initiate Data Economy: real time and Batch Processing on large volumes of data with significant complexity.
  
  

• Warrant that your venture supports Decision Support analysts by managing and extending an extensive reporting and analysis Data Mart, and develops Back End data sources for complex reports.
  
  

• Develop program plans that contribute to the development, implementation and sustainment of the Data Protection Roadmap and provide actionable insights for business strategies and performance.
  
  

• Assure your operation improves existing programming techniques and systems as applicable to meet organization program needs; work with end users and management to develop and write Design Specifications and program changes; modifies internal Data Processing Standards and Procedures.
  
  

• Ensure you helm; combined with your Apps ecosystem you are creating a new app economy for merchants and allowing developers to write once and distribute everywhere.
  
  

• Warrant that your organization provides technical oversight and direction to designated boards for integrating new technology or major new mission capabilities into the metadata and Data Standards and structures.
  
  


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

STEP 1: Get your bearings

Start with...


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

Examples; 10 of the 999 standard requirements:


1. If no one would ever find out about your accomplishments, how would you lead differently?
   
   

2. An organizationally feasible system request is one that considers the mission, goals and objectives of the organization, key questions are: is the Data Economy solution request practical and will it solve a problem or take advantage of an opportunity to achieve company goals?
   
   

3. How does your organization define, manage, and improve its Data Economy processes?
   
   

4. Which information does the Data Economy Business Case need to include?
   
   

5. Are the planned controls in place?
   
   

6. What you are going to do to affect the numbers?
   
   

7. What projects are going on in the organization today, and what resources are those projects using from the resource pools?
   
   

8. How do you keep records, of what?
   
   

9. Are accountability and ownership for Data Economy clearly defined?
   
   

10. How often will data be collected for measures?
    
    


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


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


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

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

1.0 Initiating Process Group:


• 1.1 Data Economy project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:


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

In using the Toolkit you will be better able to:


• Diagnose Data Economy 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 Economy 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 Economy investments work better.

This Data Economy 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.