Description

Systematize Data Infrastructure: continuously improve Team Productivity, refine agile processes, and create methods to increase efficiency.

More Uses of the Data Infrastructure Toolkit:

Orchestrate Data Infrastructure: partner with business/operations/product and program teams to consult, develop and implement KPIs, automated reporting/Process Solutions and Data Infrastructure improvements to meet Business Needs.
Systematize Data Infrastructure: partner with business/operations/product and program teams to consult, develop and implement KPIs, automated reporting/Process Solutions and Data Infrastructure improvements to meet Business Needs.
Drive Data Infrastructure: partner with business/operations/product and program teams to consult, develop and implement KPIs, automated reporting/Process Solutions and Data Infrastructure improvements to meet Business Needs.
Deliver and execute a plan to modernize the Risk/Quality Project Data Infrastructure and tools to efficiently support project operations, reporting, and analytics.
Provide Security Engineering for Network Security systems and Data Infrastructure.
Partner with business/operations/product and program teams to consult, develop and implement KPIs, automated reporting/Process Solutions and Data Infrastructure improvements to meet Business Needs.
Together with your growing network of Trusted Partners, you build and support Open Source, interoperable Data Infrastructure necessary for organizations, networks, and communities to share data more effectively and securely.
Supervise Data Infrastructure: document, assess, influence and synthesize Business Requirements to develop, enable and advance Data Engineering and Data Infrastructure capabilities.
Be certain that your group complies; monitors Industry Trends in Data Infrastructure, Data Architecture and Data Engineering; Assesses, develops and implements Data Integration tools.
Identify Data Infrastructure: partner with operations/business teams to consult, develop, and implement KPIs and Process Maps, automated reporting/Process Solutions, and Data Infrastructure improvements to meet Business Needs.
Steer Data Infrastructure: partner with your Data Engineering team to build requirements for Data Infrastructure necessary to facilitate efficient analysis and reporting.
Orchestrate Data Infrastructure: partner with operations/business teams to consult, develop, and implement KPIs and Process Maps, automated reporting/Process Solutions, and Data Infrastructure improvements to meet Business Needs.
Bring industry Best Practices to help you improve your existing Data Infrastructure, and continue to scale it with the growth of the business.
Be accountable for partnering with partner Engineering teams to enhance Data Infrastructure, data availability, and broad access to Customer Insights made available through BI tools across your organization.
Engage with product and Engineering teams to improve Data Infrastructure to enable effective use by analysts and the rest of your organization.
Guide Data Infrastructure: partner with your Data Engineering team to build requirements for Data Infrastructure necessary to facilitate efficient analysis and reporting.
Provide expertise across Data Warehouse Architecture and infrastructure maintenance that supports an evolving set of products with Data Infrastructure Engineering teams.
Orchestrate Data Infrastructure: architecture solutions for the design and implementation of Big Data Infrastructure.
Methodize Data Infrastructure: partner with the Technology Teams, data/analytics vendors, and others to evaluate analytics solutions and build/enhance the Data Infrastructure in a phased manner aligned with the needs of your customers and the business.
Provide periodic briefings to peers and leadership on your organization of the Data Architecture.
Ensure you pioneer; build with a robust suite of advanced data and AI tools, and draw on deep industry expertise to help Enterprises on journey to the cloud.
Ensure you produce; lead process and analyze extracted data to potentially isolate information of specific interest.
Make sure that your planning develops Best Practice SOPs for effective management of inventories, planning, master Data Management, planning systems logic and ongoing Supply Planning Team Development.
Analyze functional and non functional requirements to create technical designs, Data Models and Data Migration strategies.
Utilize data Loss Prevention (dlp) products to generate and maintain email, desktop, and Network Monitoring policies.
Develop, implement, and maintain policies, procedures, and associated training plans for Data Center resource administration and appropriate use.
Secure that your organization complies; designs multiple services based on different standards for REST, Web Services, Data Integration techniques, messaging, transformation engines and non standard services (APIs).
Organize Data Infrastructure: Data Mining, modeling and visualization of future outcomes through Research and Development of statistical learning models.
Manage situation calls for Voice and Data business critical applications and work with staff and suppliers to reach Problem Resolution.
Supervise Data Infrastructure: evaluation of marketing needs against current data capabilities; partnering with marketing enablement and front end technology on the development of a roadmap toward a modern, intelligent insights model.
Formulate Data Infrastructure: disaster recover/Business Continuity infrastructure patterns practices and implementation.
Provide UX writing and Content Strategy leadership to the team throughout the Product Development process.

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

STEP 1: Get your bearings

Start with...

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

Examples; 10 of the 999 standard requirements:

What creative shifts do you need to take?
Is it needed?
How do you verify and develop ideas and innovations?
What is the scope of the Data Infrastructure effort?
Are assumptions made in Data Infrastructure stated explicitly?
What is your Data Infrastructure strategy?
What are the tasks and definitions?
How will you know that you have improved?
What are (control) requirements for Data Infrastructure Information?
What are the expected Data Infrastructure results?

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

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

62 step-by-step Data Infrastructure Project Management Form Templates covering over 1500 Data Infrastructure 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 Infrastructure project issues be unconditionally tracked through the Issue Resolution process?
Closing Process Group: Did the Data Infrastructure Project Team have enough people to execute the Data Infrastructure 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 Infrastructure 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 Infrastructure Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:

1.1 Data Infrastructure project Charter
1.2 Stakeholder Register
1.3 Stakeholder Analysis Matrix

2.0 Planning Process Group:

2.1 Data Infrastructure 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 Infrastructure 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 Infrastructure 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 Infrastructure 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 Infrastructure 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 Infrastructure project with this in-depth Data Infrastructure Toolkit.

In using the Toolkit you will be better able to:

Diagnose Data Infrastructure 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 Infrastructure 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 Infrastructure investments work better.

This Data Infrastructure 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.