Standardize Data Value: schedule production for assembly and/or production/press lines and monitor daily inventories of raw material, finished goods and Work In Process.
More Uses of the Data Value Toolkit:
- Establish that your organization demonstrates skill developing qualitative and quantitative measurement, summarizing results of Data File and the follow up tasks on the Data Structure to solve related problems and inconsistencies as missing data or illogical Data Values.
- Be accountable for applying Program Management knowledge to set program objectives, and to design, build, and operationalize programs that advance established customer focused Data Values through partnership and collaboration with stakeholders across the enterprise.
- Ensure you champion; build distributed, scalable, and reliable Data Pipelines that ingest and process data at scale and in real time to feed Machine Learning algorithms.
- Supervise Data Value: Data Analytics and Category Management drive customer and online category success through regular analysis of KPIs and comparison to monthly and quarterly targets.
- Coordinate Data Value: leverage relationships with Data Science Teams as appropriate to develop new forecasting methodologies and inputs to identify capacity needs and areas of risk.
- Head Data Value: technical knowledge in field to field Data Mapping, conversion validation, system and security configuration, system Integration Testing, and User Acceptance Testing.
- Identify, research and resolve data discrepancies in order to provide a single source of truth in all Data Reporting.
- Evaluate Data Value: technology analyzing program Cyber, infrastructure, Data Science, IT Project Management.
- Govern Data Value: further development of the server component of your Big Data IoT Platform.
- Manage relationships with digital analytics vendors around all aspects of Data Reporting, Data Visualization, and Data Integration.
- Negotiate customers and vendors Information security schedules and Data Protection agreements.
- Initiate Data Value: through collaboration with team members, develop and implement Data Collection systems and other strategies that optimize statistical efficiency and Data Quality.
- Supervise Data Value: design and implement a modern Data Architecture (warehouse, relational, NoSQL, data streaming, containers, microservices, iPaaS).
- Manage Data Value: work closely with the engineering and Development Teams to identify non functional requirements, build out Data Visualizations and Data Access capabilities in support of Business Requirements.
- Develop Quality Standards to ensure Data Quality and integrity across various Database Systems.
- Be accountable for implementing Data Warehouses, Data Collection systems, Data Analytics and other strategies that optimize Business Intelligence and analytical efficiency and quality.
- Warrant that your enterprise gathers, prepare, and presents pricing data and economic data for use in Contract Negotiations and supports Category Managers with Contract Negotiations and execution.
- Guide Data Value: design and develop end user tools for Data Analysis and visualization.
- Confirm your corporation analyzes information on target individuals and organizations by identifying relevant data sources, and extracting and Validating Data.
- Ensure you establish; lead and perform high quality Data Analyses ensuring transparency, reproducibility, compliance with applicable Procedures And Standards.
- Audit Data Value: Predictive Analytics too with Data Scientists providing dashboard updates 2 times a week and now down to once a week.
- Communicate and collaborate with internal teams regarding campaign delivery data pertinent to client and business goals.
- Ensure the effective collection, organization and distribution of data from a variety of data sources.
- Arrange that your organization identifies data sources and provides Data Flow diagrams and documents the process.
- Steer Data Value: bridge data connectivity between various data systems and Kafka by building highly available and scalable confluent connectors that run on top of Apache Kafka connect framework.
- Consult with external partners and customers to provide advice and guidance on how data tools and technologies can improve operations and strategy.
- Supervise assigned staff, and ensures work is accomplished in accordance with established and emerging policy and practice.
- Arrange that your organization utilizes more complex or creative ways of displaying supporting data and implements the most appropriate/effective resolution for issues involving the functional IT Audit area.
- Perform data and Risk Analyses, identify appropriate controls, assess Business Processes, and evaluate management processes.
- Ensure that the data used for Financial Reporting and to support legal requirements is valid, reliable, traceable, timely, available, secure and consistent.
- Coordinate Data Value: management and lease accounting functions for approximately (number of location) collecting value of property and rental rates in the market.
- Ensure you classify; lead or support periodic in person or remote trainings related to partnership development and management.
Save time, empower your teams and effectively upgrade your processes with access to this practical Data Value Toolkit and guide. Address common challenges with best-practice templates, step-by-step Work Plans and maturity diagnostics for any Data Value 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 Value specific requirements:
STEP 1: Get your bearings
Start with...
- The latest quick edition of the Data Value 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 Value improvements can be made.
Examples; 10 of the 999 standard requirements:
- Will your goals reflect your program budget?
- How do you select, collect, align, and integrate Data Value data and information for tracking daily operations and overall organizational performance, including progress relative to Strategic Objectives and action plans?
- Are Risk Management tasks balanced centrally and locally?
- Who makes the Data Value decisions in your organization?
- What is the scope?
- Consider your own Data Value project, what types of organizational problems do you think might be causing or affecting your problem, based on the work done so far?
- Who do you want your customers to become?
- What is the kind of project structure that would be appropriate for your Data Value project, should it be formal and complex, or can it be less formal and relatively simple?
- Why are you doing Data Value and what is the scope?
- What do you measure to verify effectiveness gains?
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 Value book in PDF containing 994 requirements, which criteria correspond to the criteria in...
Your Data Value 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 Value Self-Assessment and Scorecard you will develop a clear picture of which Data Value 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 Value 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 Value projects with the 62 implementation resources:
- 62 step-by-step Data Value Project Management Form Templates covering over 1500 Data Value project requirements and success criteria:
Examples; 10 of the check box criteria:
- Cost Management Plan: Eac -estimate at completion, what is the total job expected to cost?
- Activity Cost Estimates: In which phase of the Acquisition Process cycle does source qualifications reside?
- Project Scope Statement: Will all Data Value project issues be unconditionally tracked through the Issue Resolution process?
- Closing Process Group: Did the Data Value Project Team have enough people to execute the Data Value Project Plan?
- Source Selection Criteria: What are the guidelines regarding award without considerations?
- Scope Management Plan: Are Corrective Actions taken when actual results are substantially different from detailed Data Value Project Plan (variances)?
- Initiating Process Group: During which stage of Risk planning are risks prioritized based on probability and impact?
- Cost Management Plan: Is your organization certified as a supplier, wholesaler, regular dealer, or manufacturer of corresponding products/supplies?
- Procurement Audit: Was a formal review of tenders received undertaken?
- Activity Cost Estimates: What procedures are put in place regarding bidding and cost comparisons, if any?
Step-by-step and complete Data Value Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Data Value project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data Value 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 Value 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 Value 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 Value 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 Value 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 Value project with this in-depth Data Value Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Data Value 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 Value 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 Value investments work better.
This Data Value 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.