Save time, empower your teams and effectively upgrade your processes with access to this practical Big Data Analytics Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Big Data Analytics related project.

Download the Toolkit and in Three Steps you will be guided from idea to implementation results.

 

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The Toolkit contains the following practical and powerful enablers with new and updated Big Data Analytics specific requirements:

STEP 1: Get your bearings

Start with…

  • The latest quick edition of the Big Data Analytics 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 635 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Big Data Analytics improvements can be made.

Examples; 10 of the 635 standard requirements:

  1. 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?

  2. 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?

  3. How likely is it that a particular approach will allow the solution to scale elastically in volume, velocity, and variety as Big Data analytics requirements evolve?

  4. What are the particular research needs of your organisation on big data analytics that you find essential to adequately handle your data assets?

  5. What kinds of techniques and tool types is your organization using for advanced analytics and big data, both today and in three years?

  6. How likely is it that a particular approach will meet requirements for security, compliance, and governance in Big Data analytics?

  7. Where are the biggest untapped opportunities for the application of big data analytics technologies or capabilities for your organization?

  8. Whats the approximate total data volume that your organization manages only for analytics, both today and in three years?

  9. How likely is it that a particular approach will meet requirements for security, compliance, and governance in Big Data analytics?

  10. Aside from technical solutions, is there a way to reconcile Big Data analytics with traditional information privacy principles?

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 Big Data Analytics book in PDF containing 635 requirements, which criteria correspond to the criteria in…

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

  • 62 step-by-step Big Data Analytics Project Management Form Templates covering over 6000 Big Data Analytics project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Project Performance Report: To what degree can team members meet frequently enough to accomplish the team’s ends?
  2. Activity Duration Estimates: Are Big Data Analytics project management tools and techniques consistently applied throughout all Big Data Analytics projects?
  3. Quality Metrics: Was the overall quality better or worse than previous products?
  4. Requirements Documentation: If applicable; are there issues linked with the fact that this is an offshore Big Data Analytics project?
  5. Probability and Impact Matrix: Do the people have the right combinations of skills?
  6. Procurement Audit: Where required, did candidates give evidence of complying with quality assurance standards?
  7. Probability and Impact Matrix: Which of the risk factors can be avoided altogether?
  8. Lessons Learned: How timely were Progress Reports provided to the Big Data Analytics project Manager by Team Members?
  9. Project Portfolio management: How does the organization ensure that Big Data Analytics project and program benefits and risks are being managed to optimize the overall value creation from the portfolio?
  10. Risk Audit: Do your financial policies and procedures ensure that each step in financial handling (receipt, recording, banking, reporting) is not completed by one person?

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

1.0 Initiating Process Group:

  • 1.1 Big Data Analytics project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix

2.0 Planning Process Group:

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

In using the Toolkit you will be better able to:

  • Diagnose Big Data Analytics 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 Big Data Analytics 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 Big Data Analytics investments work better.

This Big Data Analytics All-Inclusive Toolkit enables You to be that person:

 

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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.

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