Develop Data Alignment: monitor operational metrics, identify and research trends and anomalies to identify Process Improvement and Cost Savings opportunities across the distribution.
More Uses of the Data Alignment Toolkit:
- Manage work with programming, marketing and Product Teams to unearth insights to promote Data Driven decisions.
- Establish Data Alignment: partner with business stakeholders to adapt the Data Lake to meet the needs of Business Processes, Data Governance directives, and represent data as recognizablE Business entities.
- Make Data Driven decisions Use web engagement data, web KPIs and sales KPIs to measure and report thE Business impact of your optimization efforts.
- Provide technology agnostic technical leadership, drive technology stack selection and ensure the Project Team is setup for success on any number of Open Source, commercial, on premise and/or cloud based Data Engineering technologies.
- Support new supplier onboarding processes; provide new supplier training on relevant topics throughout pre production phase.
- Confirm your organization develops and recommends network contingency and Disaster Recovery plans Designs and ensures the recoverability of lost data through proper and adequate backup and Data Recovery methods.
- Dev op engineering (Solutions Architect) for your emerging cloud data op practice.
- Lead Data Alignment: corporate insights and analysis provides actionable insights based on consistent, trusted data through a robust framework of analysis, infrastructure, and visualizations.
- Synthesize data and research to drive pricing decisions for new product launches and price changes.
- Prepare Performance Reports /KPIs by collecting, analyzing, and summarizing data and trends.
- Increase search rankings and drive traffic with keyword research and Data Driven analytics.
- Establish that your project participates in Data Modeling and database logical and physical design.
- Gather and analyze risk related data to gain insights into exposures and to enable tactical and Strategic Management decisions.
- Develop and maintain web based mapping applications to provide a visual display of data to users.
- Confirm your planning complies; conducts Data Gathering and needs assessment on an ongoing basis to provide Quantitative Analysis that produces actionable insights for thE Business; provide timely updates to reports and scorecards in support of organizational changes.
- Collaborate with the other Data Curation teams, to improve and maintain the core data entities that are going to serve as a base for all business use cases that depend on clean data.
- Ensure you meet; certified Data Management professional.
- Troubleshoot production issues and find opportunities to optimize data application stack performance, availability and scalability.
- Confirm your group establishes test criteria and data to ensure all program modules and outputs for assigned project are tested for completeness and accuracy.
- Regulate hire sets the vision and Strategic Direction of the work for the group; leads team of Product Owners for managing responsibility of delivery in the Client & Producer Data Domains.
- Warrant that your Organization Designs (and defines) the Data Engineering Best Practices to be implemented as a repeatable process for Data ingestion, cleansing, wrangling, and features generation needed for Data Science.
- Establish and deploy key reconciliation controls between financial data sources ERP, Hyperion, businesses warehouses, etc.
- Develop detailed documentation describing program architecture, processes, data and functions.
- Be accountable for reviewing personnel, area, and other monitoring data and take timely actions to address emerging issues.
- Ensure your organization data and performance team supports and builds organization based capacity to use data tools to inform organization planning and Decision Making.
- Secure that your operation assess the level of Customer Satisfaction and provide data to lead the Purchasing and Property Management Department in Continuous Improvement initiatives.
- Manage customer expectations throughout projects and brief management on the progress of data ingestion and transformation.
- Develop your organization Community Of Practice of finance Master Data managers.
- Identify and conceptualize information needs, work flow sequences, and data requirements for Business Applications.
- Be certain that your organization deploys a master Data Governance framework, with a focus on improving Data Quality and the protection of sensitive data through modifications to organization behavior Policies And Standards, principles, Governance Metrics, processes, related tools, and Data Architecture.
- Drive Data Alignment: interface with internal and external suppliers during requirement specifications to secure alignment with business expectations (end to end).
- Confirm you revolutionize; lead all financial and reporting aspects of thE Business; be accountable for measurement based Financial Management to ensure accurate planning, forecasting and reporting.
Save time, empower your teams and effectively upgrade your processes with access to this practical Data Alignment Toolkit and guide. Address common challenges with best-practice templates, step-by-step Work Plans and maturity diagnostics for any Data Alignment 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 Alignment specific requirements:
STEP 1: Get your bearings
Start with...
- The latest quick edition of the Data Alignment 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 Alignment improvements can be made.
Examples; 10 of the 999 standard requirements:
- Who is gathering information?
- Do vendor agreements bring new compliance risk?
- What is your theory of human motivation, and how does your compensation plan fit with that view?
- How do you quantify and qualify impacts?
- What does your signature ensure?
- How do you aggregate measures across priorities?
- What are you challenging?
- Are Risk Management tasks balanced centrally and locally?
- What methods are feasible and acceptable to estimate the impact of reforms?
- For decision problems, how do you develop a decision statement?
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 Alignment book in PDF containing 994 requirements, which criteria correspond to the criteria in...
Your Data Alignment 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 Alignment Self-Assessment and Scorecard you will develop a clear picture of which Data Alignment 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 Alignment 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 Alignment projects with the 62 implementation resources:
- 62 step-by-step Data Alignment Project Management Form Templates covering over 1500 Data Alignment 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 Alignment project issues be unconditionally tracked through the Issue Resolution process?
- Closing Process Group: Did the Data Alignment Project Team have enough people to execute the Data Alignment 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 Alignment 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 Alignment Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Data Alignment project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data Alignment 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 Alignment 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 Alignment 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 Alignment 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 Alignment 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 Alignment project with this in-depth Data Alignment Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Data Alignment 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 Alignment 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 Alignment investments work better.
This Data Alignment 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.