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
- 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 901 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 901 standard requirements:
- Will it support physical, application, and data security, including such capabilities as authentication, authorization, availability, confidentiality, identity management, integrity, audit, security monitoring, incident response, and security policy management?
- Will it allow users to retrieve their data and their application artifacts and to have strong assurance that the cloud service provider will delete all copies and not retain any materials belonging to the cloud service customer after an agreed period?
- What are the potential areas of conflict that can arise between organisations IT and marketing functions around the deployment and use of business intelligence and data analytics software services and whats the best way to resolve them?
- What is the difference, if any, in customer satisfaction between the use and results of agile-driven software development methods and the use and results of plan-driven software development software development methods?
- How likely is it that a particular approach will reduce the cost of deploying and managing Big Data analytics and maximize the productivity and efficiency of IT operations over the deployments expected useful life?
- Where applicable, does the program use run-time infrastructure defenses (such as address space randomization, stack overflow protection, preventing execution from data memory, and taint checking)?
- Will it protect the assured, proper, and consistent collection, processing, communication, use and disposition of personally identifiable information in the relation to cloud services?
- How likely is it that a particular approach will meet requirements for administration, monitoring, and optimization of the Big Data platform/service over its expected useful life?
- Will it support continued, measurable, and verifiable compliance with all the relevant government, industry, and company mandates relevant to any and all aspects of operations?
- How likely is it that this particular approach will enable us to meet our requirements for 24×7 high availability and reliability in the provisioned Big Data analytics service?
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 901 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 6000 DataOps project requirements and success criteria:
Examples; 10 of the check box criteria:
- Procurement Audit: Does the strategy ensure that the concepts of standardisation and coordination of procurement are used to take advantage of the departments collective buying power?
- Procurement Audit: Were additional works brought about by a cause which had not previously existed?
- Team Performance Assessment: Does more radicalness mean more perceived benefits?
- Stakeholder Management Plan: What is the primary function of the Activity Decomposition Decision Tree?
- Probability and Impact Matrix: The customer requests a change to the DataOps project that would increase the DataOps project risk. Which should you do before ass the others?
- Risk Register: What evidence do you have to justify the likelihood score of the risk (audit, incident report, claim, complaints, inspection, internal review)?
- Contract Close-Out: Has each contract been audited to verify acceptance and delivery?
- Cost Baseline: Has the DataOps projected annual cost to operate and maintain the product(s) or service(s) been approved and funded?
- Activity Duration Estimates: A DataOps project manager is using weighted average duration estimates to perform schedule network analysis. Which type of mathematical analysis is being used?
- 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
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.