DataOps Toolkit

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


STEP 1: Get your bearings

Start with...

  • The latest quick edition of the DataOps 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 995 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which DataOps improvements can be made.

Examples; 10 of the 995 standard requirements:

  1. What best practices would you recommend to look out for in the analysis and review of big data, analytics techniques, predictive analytics, and advanced models in setting and reviewing rates?

  2. How can organizations make use of advanced technology to turn mass data into useful information, perform predictive analytics and incorporate big data into decision making process?

  3. What advice do you have for businesses that are already using big data and business intelligence as to how to embed that data and analytics into an Internet of Things approach?

  4. Does the qsp identify the need for statistical techniques required for establishing, controlling, and verifying process capabilities and product characteristics?

  5. How have you leveraged data and analytics in your asset management plans to better target capital and maintenance budgets and ultimately improve reliability?

  6. What was it about exploring the effects of big data analytics and the use of the more traditional marketing analytics techniques that interested you?

  7. How will emerging technologies like AI, Machine Learning, IOT, Big data, augmented reality, analytics etc will change the fabric of IT organizations?

  8. What does the term big data actually entail, and how will the insights it yields differ from what managers might generate from traditional analytics?

  9. Are your processes designed to optimally support your business and still be flexible, Agile and dynamic to cater to the changing business landscape?

  10. How do you complete the move without experiencing unacceptable downtime and while maintaining your data protection and disaster recovery profile?


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 DataOps book in PDF containing 995 requirements, which criteria correspond to the criteria in...

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

  • 62 step-by-step DataOps Project Management Form Templates covering over 1500 DataOps project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Activity Duration Estimates: Do scope statements include the DataOps project objectives and expected deliverables?

  2. Change Request: How is the change documented (format, content, storage)?

  3. Scope Management Plan: What are the risks that could significantly affect the scope of the DataOps project?

  4. Roles and Responsibilities: Attainable / achievable: the goal is attainable; can you actually accomplish the goal?

  5. Procurement Audit: Which are the main risks and controls of each phase?

  6. Schedule Management Plan: What is the difference between % Complete and % work?

  7. WBS Dictionary: Changes in the overhead pool and/or organization structures?

  8. Executing Process Group: What is in place for ensuring adequate change control on DataOps projects that involve outside contracts?

  9. Probability and Impact Matrix: What is the culture of the market and your organization?

  10. Initiating Process Group: How well defined and documented were the DataOps project management processes you chose to use?

 
Step-by-step and complete DataOps Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:

  • 1.1 DataOps project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:

  • 2.1 DataOps project Management Plan
  • 2.2 Scope Management Plan
  • 2.3 Requirements Management Plan
  • 2.4 Requirements Documentation
  • 2.5 Requirements Traceability Matrix
  • 2.6 DataOps 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 DataOps 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 DataOps 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 DataOps 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 DataOps project with this in-depth DataOps Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose DataOps 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 DataOps 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 DataOps investments work better.

This DataOps 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.