Big Data Software Toolkit

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Does the business have a large amount of data? What is the method of handling the data in your information system? The Big Data Software Toolkit addresses common challenges with best-practice templates, step-by-step work plans and maturity diagnostics to best prepared.

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

Using the toolkit effectively will save you and your staff many hours of R&D time in writing the questions and templates to obtain the results needed to analyse the data collected.




STEP 1: Get your bearings

Start with...

  • The latest quick edition of the Big Data Software Self Assessment Toolkit containing 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 Dashboard to get familiar with results generation

Then find your goals...

STEP 2: Set concrete goals, tasks, dates and numbers you can track

Featuring 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 Software improvements can be made.

10 examples of the standard requirements:

  1. Can it deploy a big data platform that meets each departments needs, given that each department is using different software, cares about different metrics, and stores its data in separate silos?

  2. What if an all-flash storage platform could deliver big and fast for tomorrows data, and be simple and efficient enough to be the platform for your cloud-native applications?

  3. Is executive leadership engaged in clarifying and communicating big data security protection requirements and empowering your organization of appropriate security measures?

  4. What has proven to be the biggest gap between your data-driven customer experience strategy and the execution of that strategy across all customer interaction channels?

  5. How is your organization minimizing the risk of the misuse of big data when using large data sets to better assess, price or create products?

  6. Are service providers ready to exploit the power of open networking for the most demanding consumer and business subscriber applications?

  7. How do you use big data analytics to make better-informed decisions that increase your business impact and improve savings performance?

  8. Does it pay to approach data as a strategic asset and focus corporate resources on collecting and analysing potentially valuable data?

  9. What are the initial applications, kinds of data, and solutions/approaches that enterprises are employing for big data initiatives?

  10. How confident are you that open networking solutions can achieve the same level of performance as traditional networking solutions?

Complete the self assessment, on your own or with a team in a workshop setting.

Your Big Data Software self-assessment dashboard which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next:

  • The Self-Assessment Dashboard; with the Big Data Software Self-Assessment and Scorecard you will develop a clear picture of which Big Data Software 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 Software 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 Software projects with the implementation resources:

  • Step-by-step Big Data Software Project Management Form Templates covering the Big Data Software project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Scope Management Plan: Is there a requirements change management processes in place?

  2. Lessons Learned: How much of your time was spent on other than this Big Data Software project?

  3. Responsibility Assignment Matrix: Is the anticipated (firm and potential) business base Big Data Software projected in a rational, consistent manner?

  4. Lessons Learned: Was the necessary hardware, software, accommodation etc available?

  5. Risk Register: Amongst the action plans and recommendations that you have to introduce are there some that could stop or delay the overall program?

  6. Scope Management Plan: Are you meeting with stake holders and team members?

  7. Procurement Audit: What is the process cost of the procurement function?

  8. Schedule Management Plan: Are changes in deliverable commitments agreed to by all affected groups & individuals?

  9. Milestone List: Do you foresee any technical risks or developmental challenges?

  10. Lessons Learned: How well was Big Data Software project status communicated throughout your involvement in the Big Data Software project?

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

1.0 Initiating Process Group:

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

2.0 Planning Process Group:

  • 2.1 Big Data Software 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 Software 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 Software 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 Software 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 Software project or Phase Close-Out
  • 5.4 Lessons Learned



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

In using the Toolkit you will be better able to:

  • Diagnose Big Data Software 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 Software 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 Software investments work better.

This Big Data Software All-Inclusive Toolkit enables You to be that person.