Deal with very large data volumes and different varieties of data
What big Data Technologies are used in your organization?
Is your exchange taking advantage of cloud based technologies and the business potential of on demand distribution of market data?
How to leverage the most advanced Data Technologies to have a direct impact on your operations?
What technologies are required to route data through your networks?
Are you struggling to build a team to implement/manage your Data Technologies?
...Find the answers to these, and more, questions with this Data Technologies Toolkit:
- Bring cloud computing models and technologies into your data center.
- Plan on communicating the value of big data to your organization.
- Select the right technology components and build a skilled team to develop, operate, govern and support Big Data Technologies without going through painful mistakes.
- Leverage data to drive decision making in all areas of your organization.
- Analyze the massive amounts of data that become part of your big data infrastructure.
- Measure the return on investment for Big Data Technologies.
- Manage the uncertainty created by using Big Data Technologies.
- Adapt to regulatory requirements based on Big Data Technologies.
- Effectively deal with complex data exchanges across platforms that utilize different messaging technologies.
HOW THIS TOOLKIT WORKS:
Save time, empower your teams and effectively upgrade your processes with access to this practical Data Technologies Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Data Technologies 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 Technologies specific requirements:
STEP 1: Get your bearings
Start with...
- The latest quick edition of the Data Technologies 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 Technologies improvements can be made.
Examples; 10 of the 999 standard requirements:
- What should analysts ask providers to determine whether new technologies are moving your organization forward and creating a competitive advantage, or simply adding another cost?
- Has your organization considered investing in a true cloud based, integrated platform as a solution to the problem areas you identified with your existing technology?
- What problems may develop as innovative technologies enhance the ability and ease of widespread personal data sharing for a secondary purpose and commercial uses?
- What problems may develop as innovative technologies enhance the ability and ease of widespread personal data sharing for secondary purpose and commercial uses?
- How much do cost and performance breakthroughs in key climate technologies drive additional emissions reductions under various climate policy contexts?
- How might advanced technologies be applied across data systems to generate meaningful insights, attribute root causes, and help inform policymaking?
- Will you have sufficient skilled people to deal with the data generated by the advanced technologies so that better decisions and plans can be made?
- Should theft management be considered a regulated duty for which suppliers should have access to a certain level of smart metering data?
- What technologies and procedures do you need to implement as your organization to guarantee data accuracy and availability at all times?
- How well does your existing technology help manage key functions in terms of visibility, oversight, and involvement in decision making?
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 Technologies book in PDF containing 999 requirements, which criteria correspond to the criteria in...
Your Data Technologies 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 Technologies Self-Assessment and Scorecard you will develop a clear picture of which Data Technologies 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 Technologies 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 Technologies projects with the 62 implementation resources:
- 62 step-by-step Data Technologies Project Management Form Templates covering over 1500 Data Technologies project requirements and success criteria:
Examples; 10 of the check box criteria:
- Assumption and Constraint Log: Have Data Technologies project management standards and procedures been established and documented?
- Team Member Performance Assessment: To what degree do the goals specify concrete team work products?
- WBS Dictionary: Is authorization of budgets in excess of the contract budget base controlled formally and done with the full knowledge and recognition of the procuring activity?
- Procurement Audit: Is the issuance of purchase orders scheduled so that orders are not issued daily?
- Communications Management Plan: Can you think of other people who might have concerns or interests?
- Scope Management Plan: Is there a formal set of procedures supporting Stakeholder Management?
- Scope Management Plan: Given the scope of the Data Technologies project, which criterion should be optimized?
- Stakeholder Management Plan: What guidelines or procedures currently exist that must be adhered to (eg departmental accounting procedures)?
- Activity Duration Estimates: What are the main types of goods and services being outsourced?
- Executing Process Group: Does the Data Technologies project team have enough people to execute the Data Technologies project plan?
Step-by-step and complete Data Technologies Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Data Technologies project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data Technologies 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 Technologies 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 Technologies 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 Technologies 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 Technologies 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 Technologies project with this in-depth Data Technologies Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Data Technologies 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 Technologies 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 Technologies investments work better.
This Data Technologies 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.
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CONTENTS:
Checklists:
Checklists:Data Technologies Checklist Report on ORGANIZATION.pdf
Checklists:Data Technologies Checklist Report on BUSINESS.pdf
Checklists:Data Technologies Checklist Report on TECHNOLOGIES.pdf
Checklists:Data Technologies Checklist Report on TECHNOLOGY.pdf
Checklists:Data Technologies Checklist Report on DATA.pdf
STEP 1 Get your bearings:
STEP 1 Get your bearings:Data Technologies Self-Assessment Pre-Filled EXAMPLE.xlsx
STEP 1 Get your bearings:Data_Technologies_Quick_Exploratory_Self-Assessment_Guide.pdf
STEP 2 Set concrete goals tasks dates and numbers you can track:
STEP 2 Set concrete goals tasks dates and numbers you can track:Data Technologies Self-Assessment.xlsx
STEP 2 Set concrete goals tasks dates and numbers you can track:Data_Technologies.pdf
..and the Project Management resources in 'STEP 3: Implement, Track, follow up and revise strategy' as described above.
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These skills will enrich every part of your life.
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