Save time, empower your teams and effectively upgrade your processes with access to this practical Data lake Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Data lake 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 lake specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Data lake 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 981 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 lake improvements can be made.
Examples; 10 of the 981 standard requirements:
- What new analytical possibilities would open up for our organization if you aggregated all available data into a central data lake for in-depth and ongoing analysis?
- Looking at hadoop big data in the rearview mirror - what would you have done differently after implementing a Data Lake?
- Do we address the daunting challenge of Big Data: how to make an easy use of highly diverse data and provide knowledge?
- Looking at Hadoop Big Data in the rearview mirror, what would you have done differently after implementing a data lake?
- Looking at Hadoop Big Data in the rearview mirror; What would you have done differently after implementing a data lake?
- Do we need an enterprise data warehouse, a Data Lake, or both as part of our overall data architecture?
- Does your solution support portability of algorithms between a data lake, warehouse or database environment?
- Can the data be obtained at no cost, or is there a charge associated with access?
- What data is being licensed, and how or where is it being made available?
- Can the data be obtained at no cost, or is there a charge associated with access?
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 lake book in PDF containing 981 requirements, which criteria correspond to the criteria in...
Your Data lake 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 lake Self-Assessment and Scorecard you will develop a clear picture of which Data lake 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 lake 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 lake projects with the 62 implementation resources:
- 62 step-by-step Data lake Project Management Form Templates covering over 6000 Data lake project requirements and success criteria:
Examples; 10 of the check box criteria:
- Risk Audit: What compliance systems do you have in place to address quality, errors, and outcomes?
- Variance Analysis: Are there knowledgeable Data lake projections of future performance?
- Issue Log: What help do you and your team need from the stakeholders?
- Responsibility Assignment Matrix: What Do You Need to Implement Earned Value Management?
- Stakeholder Management Plan: Are all key components of a Quality Assurance Plan present?
- Probability and Impact Matrix: What are the current or emerging trends of culture?
- WBS Dictionary: Is work properly classified as measured effort, LOE, or apportioned effort and appropriately separated?
- Planning Process Group: How are the principles of aid effectiveness (ownership, alignment, management for development results and mutual responsibility) being applied in the Data lake project?
- Planning Process Group: What is involved in Data lake project scope management, and why is good Data lake project scope management so important on information technology Data lake projects?
- Quality Audit: How does the organization know that its advisory services are appropriately effective and constructive?
Step-by-step and complete Data lake Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Data lake project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data lake 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 lake 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 lake 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 lake 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 lake project or Phase Close-Out
- 5.4 Lessons Learned
With this Three Step process you will have all the tools you need for any Data lake project with this in-depth Data lake Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Data lake 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 lake 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 lake investments work better.
This Data lake 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.