Supervise Data As Code: review new and existing IT projects, systems designs, and procurement/Outsourcing Plans for compliance with IT standards and architectural plans.
More Uses of the Data As Code Toolkit:
- Evaluate Data As Code: effectively leveragE Business process understanding, Customer Data analysis, and Quality engineering tools to influence and support business partners to drive quality improvements and achieve key business results.
- Perform data and Risk Analyses, identify appropriate controls, assess Business Processes, and evaluate management processes.
- Develop and maintain Data Flow Diagrams for new and critical business and IT processes and services.
- Derive actionable and strategic insights from multiple data sets to inform the optimization of advertisements and website functions.
- Provide Quality Assurance and testing support for large scale Data Lifecycle initiatives.
- Organize Data As Code: direct data and AI as an advise, influencer and consulting, leading Design Thinking, Strategic Roadmap, architectural vision and Thought Leadership.
- Perform analysis of Contact Center data to provide insight into reasons for calls, employee performance, forecast variances, KPI variances, cost per call and other data relative to Contact Center performance.
- Orchestrate Data As Code: data diagnostics extracting, scrubbing and patching very large sets of data together from a variety of internal and external sources.
- Confirm your organization maintains ongoing communication with Data Stewards to ensure critical Data Issues are communicated timely for remediation.
- Steer Data As Code: act as your teams thought leader for defining data telemetry, storage and ETL processes.
- Collaborate with engineering and your Data Center in order to manage expectations, coordinate procurement, and provide guidance to clients regarding implementation and adoption timelines.
- Arrange that your design writes source code using Programming Languages to create a digital map interface or standard report allowing access to business data in a spatial environment.
- Ensure your organization complies; designs and implements Test Data Management practices for real time applications in a multi platform environment.
- Manage to clearly communicate instructions and sensitive information down the line for Data Analytics and Data Warehousing personnel to effectively execute duties.
- Control Data As Code: consistently deliver actionable insights that drive data based Decision Making on a wide range of initiatives from customer relations, Workforce Management, and Quality Assurance.
- Apply expertise in Data Mining and modeling leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive models.
- Collaborate with the team to conduct structured Data Gathering, research, and analysis while evaluating controls to provide relevant recommendations for enhancing current operations.
- Manage a team of product owners, designers and Data Analysts in translating your product vision to the delivery of a series of highly impactful, highly engaging, and highly valuable solutions.
- Be accountable for collaborating with the CDO to identify and agree on data domains.
- Direct Data As Code: act as a liaison and point of contact representing the payment, meter system and data Management Team supporting development of Business Requirements / specifications for system development projects for new /existing systems.
- Manage work with programming, marketing and Product Teams to unearth insights to promote Data Driven decisions.
- Manage work with the Enterprise Architecture to establish modeling standards, Data Quality standards, Data Integration Patterns or transactional and analytical systems.
- Manage work with Plant Personnel and Master Data Management to support coding and extension of new parts to the plant.
- Formulate Data As Code: analytical, Data Driven thinker and methodical/process driven in your sales approach.
- Drive Data As Code: category it, technology, Corporate Security, digital technology, Data Science and engineering, Software Engineering and cloud, corporate.
- Establish that your planning assess the level of Customer Satisfaction and provide data to lead the Purchasing and Property Management Department in Continuous Improvement initiatives.
- Work with the Data Technology Teams (PMO, Business Analysis, Data Architecture, Information Governance, Operational Data, Data Acquisition, Analytics and Infrastructure) to support and innovate on the Enterprise Data Warehouse platform.
- Ensure your organization leads Data Architecture and integration efforts related to managing critical aspects of the development, production, and deployment of capabilities.
- TranslatE Business oriented Information Requirements into technical Data Management solutions by analyzing and implementing enterprise Data Strategies.
- Be accountable for participating as a member of the Trust and Safety Management Team in planning and resourcing portfolio wide objectives.
- Guide Data As Code: own Test Software code maintenance, and review process with external vendors to ensure Code Quality and Data integrity.
- Steer Data As Code: work closely with the Project Managers, Security And Compliance personnel, application developers and other administrators in creating functional, scalable and secure applications from design and development through implementation for business clients.
Save time, empower your teams and effectively upgrade your processes with access to this practical Data As Code Toolkit and guide. Address common challenges with best-practice templates, step-by-step Work Plans and maturity diagnostics for any Data As Code 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 As Code specific requirements:
STEP 1: Get your bearings
Start with...
- The latest quick edition of the Data As Code 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 As Code improvements can be made.
Examples; 10 of the 999 standard requirements:
- Have all of the relationships been defined properly?
- What are the top 3 things at the forefront of your Data As Code agendas for the next 3 years?
- How do you ensure that the Data As Code opportunity is realistic?
- How can you better manage risk?
- What unique Value Proposition (UVP) do you offer?
- What is your competitive advantage?
- What would be a real cause for concern?
- What are hidden Data As Code Quality costs?
- Will Data As Code deliverables need to be tested and, if so, by whom?
- Will your goals reflect your program budget?
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 As Code book in PDF containing 994 requirements, which criteria correspond to the criteria in...
Your Data As Code 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 As Code Self-Assessment and Scorecard you will develop a clear picture of which Data As Code 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 As Code 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 As Code projects with the 62 implementation resources:
- 62 step-by-step Data As Code Project Management Form Templates covering over 1500 Data As Code 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 As Code project issues be unconditionally tracked through the Issue Resolution process?
- Closing Process Group: Did the Data As Code Project Team have enough people to execute the Data As Code 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 As Code 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 As Code Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Data As Code project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data As Code 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 As Code 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 As Code 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 As Code 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 As Code 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 As Code project with this in-depth Data As Code Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Data As Code 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 As Code 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 As Code investments work better.
This Data As Code 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.