Structured Data Toolkit

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Organize Structured Data: work closely with the founders and Executive Team and have access to help shape your organization Product Roadmap.

More Uses of the Structured Data Toolkit:

  • Be certain that your organization supports the build, maintenance and enhancements of Data Lake development; supports simple to medium complexity API, Unstructured Data parsing and streaming data ingestion.

  • Head Structured Data: clean and process large structured and Unstructured Data sets from multiple data sources to glean insights and identify opportunities for targeting and optimization.

  • Develop framework, algorithms, and curation for Text Analytics and sentiment analysis with Unstructured Data.

  • Merge structured, semi structured and Unstructured Data from several systems to highlight organization trends related to recruiting, developing, engaging and retaining talent.

  • Systematize Structured Data: thorough knowledge relating to logical Data Design, Data Warehouse design, Data Integration or the management of Web Content or other Unstructured Data.

  • Orchestrate Structured Data: relational Database Architecture for Cloud Applications, search design and architecture, Unstructured Data storage architecture.

  • Utilize Natural Language Processing by helping to understand the complexities of Unstructured Data.

  • Manage work with large structured / Unstructured Data sets, various rest/wms Data Services, multiple database programs and collection systems, in a modeling and analytical environment, solving hard intelligence problems and issues.

  • Ensure you meet; build out the necessary Data Structures optimized for eCommerce analytics, leveraging the on premise Data Warehouse and other structured and unStructured Data Warehousing/storage platforms.

  • Ensure you do and extract, cluster or classify high quality features from Unstructured Data and code innovative tools to support rapid experimentation and learning.

  • Head Structured Data: architecture, implement, maintain and troubleshoot Enterprise Grade Data Storage and protection systems for structured and Unstructured Data.

  • Manage Structured Data: by converting contracts, unstructured legal language, into Structured Data, you help clients understand risk and identify opportunities.

  • Manage your loop client who is disrupting a traditional market in a whole new way through delivering Structured Data observations and Predictive Analytics using Deep Learning technology.

  • Make sure that your organization supports the build, maintenance and enhancements of Data Lake development; supports simple to medium complexity API, Unstructured Data parsing and streaming data ingestion.

  • Ensure you liaise; build out the necessary Data Structures optimized for eCommerce analytics, leveraging the on premise Data Warehouse and other structured and unStructured Data Warehousing/storage platforms.

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

  • Analyze large scale structured and Unstructured Data; develop deep dive analyses and MachinE Learning Models to drive Customer Engagement and retention.

  • Take on specific ETL projects to assimilate data from multiple new structured and Unstructured Data sources in batch or real time, as appropriate.

  • Perform analytical tasks in a methodical manner on large amounts of structured and Unstructured Data to extract actionablE Business insights.

  • Solve Complex Data issues around Data Integration, unusable data elements, Unstructured Data sets, and other Data Processing incidents.

  • Become skilled at working with survey data, Text Analytics, and other forms of Unstructured Data.

  • Oversee Structured Data: partner with the Data Science team to standardize classification of Unstructured Data into standard structures for Data Discovery and action by business customers and stakeholders.

  • Collaborate with the team to conduct Structured Data Gathering, research, and analysis while evaluating controls to provide relevant recommendations for enhancing current operations.

  • Take advantage of massive amounts of Structured Data to understand how small businesses interact with your product and service offerings to connect with own clients.

  • Devise Structured Data: relational Database Architecture for Cloud Applications, search design and architecture, Unstructured Data storage architecture.

  • Secure that your enterprise provides advanced Data Insights for complex business problems that can be approached with Analytics Techniques to collect, explore, and extract insights from structured and Unstructured Data.

  • Steer Structured Data: partner with the various IT Teams to apply a structured and deliberate quality methodology and framework, in alignment with quality Best Practices.

  • Be accountable for understanding and application of Cost Management and estimating techniques, with exposure to Risk Management and Change Management activities in a structured project environment.

  • Be accountable for synchronizing large amounts of data between unstructured and structured formats on various data sources.

  • Undertake the Structured Analysis of technical issues, translating this analysis into technical designs that describes a solution.

  • Make sure that your business rolls out enterprise wide Data Governance framework, with focus on organization, policies, principles and standards, and Governance Metrics.

  • Coordinate Structured Data: breakdown raw information and undefined problems into specific, workable components that in turn clearly identifies the issues at hand.


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

STEP 1: Get your bearings

Start with...

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

Examples; 10 of the 999 standard requirements:

  1. How are you verifying it?

  2. Who are the key stakeholders?

  3. Have all basic functions of Structured Data been defined?

  4. Which models, tools and techniques are necessary?

  5. Who should receive measurement reports?

  6. What resources go in to get the desired output?

  7. Who do you report Structured Data results to?

  8. Will new equipment/products be required to facilitate Structured Data delivery, for example is new software needed?

  9. What are your operating costs?

  10. What can you do to improve?

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

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

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

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

1.0 Initiating Process Group:

2.0 Planning Process Group:

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 Structured Data 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 Structured Data project or Phase Close-Out
  • 5.4 Lessons Learned



With this Three Step process you will have all the tools you need for any Structured Data project with this in-depth Structured Data Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Structured Data 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 Structured Data 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 Structured Data investments work better.

This Structured Data 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.