Establish Data Lake Reference Architecture: mentor and pair with change agents and stakeholders in client organizations to help them become lean Agile champions and build lasting Agile skills.

More Uses of the Data Lake Reference Architecture Toolkit:


• Orchestrate Data Lake Reference Architecture: 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.
  
  

• Evaluate the effectiveness of marketing actions, develop profiles and recommend Data Driven segmentation approaches and deliver actionable insights to improve Customer Engagement and lifetime value.
  
  

• Assure your organization develops technical tools and programming that leverage Artificial intelligence, Machine Learning and Big Data techniques to cleanse, organize and transform data and to maintain, defend and update Data Structures and integrity on an automated basis.
  
  

• Ensure you take ownership of the success of the Data integrity practice, and Identify Opportunities For Improvement in processes, systems, tools, etc.
  
  

• Ensure your organization develops technical data regarding materials, sizes, dimensions, and quantities and costs to be incorporated in to formal specifications.
  
  

• Employ Predictive Modeling, Data Mining, graph algorithms, and other Data Science techniques to contribute to and enhance your cross device Identity Resolution portfolio.
  
  

• Gain support the planning, preparation, translation, and execution of Data Flows and migrations between enterprise platforms.
  
  

• Establish Data Lake Reference Architecture: partner with engineering and other internal operations teams to enable a high level of Data integrity, consistency and clarity across cross multiple internal databases and reporting systems.
  
  

• Participate in a continuum that provides turn key solutions where technology can be implemented; data can be created, analyzed, and acted upon by machine or humans in a manner that makes a measurable difference in clients operations.
  
  

• Arrange that your business supports Data Architects and Data Analysts in ensuring data delivery architecture is optimal and consistent throughout all Data Analytics projects.
  
  

• Manage work with Database Administrators to plan and implement capacity and resource expansion to ensure data scalability.
  
  

• Be accountable for leading the analysis, architecture, design, and development of large scale Data Management and Business Intelligence solutions.
  
  

• Head Data Lake Reference Architecture: research and build innovative data solutions and tools with a mind for trends in Digital Marketing and marketing technology.
  
  

• Control Data Lake Reference Architecture: implement rich, interactive Data Visualizations using modern javascript and Software Development techniques.
  
  

• Assure your organization coordinates with other Information Technology professionals and stakeholders to deliver and improve Data Warehouse and Business Intelligence functionality.
  
  

• Lead Data Lake Reference Architecture: they deliver data products for digital solutions, deploy analytical models into production, fix existing data platforms, or coach and enable other teams in Best Practices depending on need.
  
  

• Develop Data Lake Reference Architecture: partner with team members to ensure data is protected from internal and external unauthorized access, modification, or disclosure.
  
  

• Arrange that your venture provides daily, weekly and monthly Status Reports on Data Center operations.
  
  

• Assure your business contributes to a reduction in IT complexity, enforcement of discipline and standardization of IT planning activities, consolidation of data and applications, and better interoperability of the systems.
  
  

• Be certain that your organization interacts with technology focused teams and business stakeholders to understand risks to Critical Infrastructure and data by defining potential business impact with the responsibility to apply effective mitigation strategies.
  
  

• Coordinate the installation and implementation of Database Management system software and related software tools with vendors, other Data Processing staff and systems users.
  
  

• Methodize Data Lake Reference Architecture: mine data from primary and secondary sources and leverage Data Visualization for ongoing reporting.
  
  

• Ensure you run; lead with expertise in identifying data relationships, data patterns in the data sourced from different subject areas.
  
  

• Make sure that your organization utilizes analytic methods and Data Manipulation skills, in conjunction with business understanding, to perform necessary reports for end users.
  
  

• Ensure enterprise data platforms are standardized, optimized, available, reliable, consistent, accessible and secure to support business and technology needs.
  
  

• Use qualitative and quantitative sources of data to develop and execute a Conversion Rate Optimization Strategy and testing plan for your clients.
  
  

• Direct Data Lake Reference Architecture: master new technologies quickly; stays abreast of current trends and developments in Operational Data Store, Data Warehouse, and Big Data.
  
  

• Govern Data Lake Reference Architecture: advocate for Lean Six Sigma culture crafting a learning environment, a Continuous Improvement mindset and a view of process as a set of touchpoints and relationships to establish Visual Management, metrics creation, monitoring and data based improvement.
  
  

• Develop dashboards for various business teams, charting key metrics and Extracting Data driven insights.
  
  

• Manage to complement your complex algorithms and extensive Data Analyses, you create elevated and inspirational mobile and web features across the entire Echo system.
  
  

• Be accountable for designing and developing performance tests, automated integration tests for a distributed system, executing tests, trouble shooting defects, and working with individual Development Teams to resolve issues.
  
  

• Follow insurance program rules to strict discipline (knowing/being able to reference what is expected and/or allowed by each insurance program).
  
  

• Steer Data Lake Reference Architecture: architecture and engineering requirements for sharepoint on line and on premise to accomplish windows domain migration, and office 365 tenant changes.
  
  

• Develop software incrementally and take full responsibility for the quality of your code and end to end testing.
  
  


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

STEP 1: Get your bearings

Start with...


• The latest quick edition of the Data Lake Reference Architecture 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 Lake Reference Architecture improvements can be made.

Examples; 10 of the 999 standard requirements:


1. What happens if you do not have enough funding?
   
   

2. In the case of a Data Lake Reference Architecture project, the criteria for the audit derive from implementation objectives, an audit of a Data Lake Reference Architecture project involves assessing whether the recommendations outlined for implementation have been met, can you track that any Data Lake Reference Architecture project is implemented as planned, and is it working?
   
   

3. What Data Lake Reference Architecture requirements should be gathered?
   
   

4. Are procedures documented for managing Data Lake Reference Architecture risks?
   
   

5. Is Data Lake Reference Architecture required?
   
   

6. What do you measure and why?
   
   

7. Who are the Data Lake Reference Architecture decision makers?
   
   

8. How do you foster the skills, knowledge, talents, attributes, and characteristics you want to have?
   
   

9. Where do you need Data Lake Reference Architecture improvement?
   
   

10. Do vendor agreements bring new compliance risk?
    
    


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


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


• 62 step-by-step Data Lake Reference Architecture Project Management Form Templates covering over 1500 Data Lake Reference Architecture project requirements and success criteria:


Examples; 10 of the check box criteria:


1. Cost Management Plan: Eac -estimate at completion, what is the total job expected to cost?
   
   

2. Activity Cost Estimates: In which phase of the Acquisition Process cycle does source qualifications reside?
   
   

3. Project Scope Statement: Will all Data Lake Reference Architecture project issues be unconditionally tracked through the Issue Resolution process?
   
   

4. Closing Process Group: Did the Data Lake Reference Architecture Project Team have enough people to execute the Data Lake Reference Architecture project plan?
   
   

5. Source Selection Criteria: What are the guidelines regarding award without considerations?
   
   

6. Scope Management Plan: Are Corrective Actions taken when actual results are substantially different from detailed Data Lake Reference Architecture project plan (variances)?
   
   

7. Initiating Process Group: During which stage of Risk planning are risks prioritized based on probability and impact?
   
   

8. Cost Management Plan: Is your organization certified as a supplier, wholesaler, regular dealer, or manufacturer of corresponding products/supplies?
   
   

9. Procurement Audit: Was a formal review of tenders received undertaken?
   
   

10. Activity Cost Estimates: What procedures are put in place regarding bidding and cost comparisons, if any?


 
Step-by-step and complete Data Lake Reference Architecture Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:


• 1.1 Data Lake Reference Architecture project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:


• 2.1 Data Lake Reference Architecture 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 Reference Architecture 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 Reference Architecture 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 Reference Architecture 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 Reference Architecture 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 Lake Reference Architecture project with this in-depth Data Lake Reference Architecture Toolkit.

In using the Toolkit you will be better able to:


• Diagnose Data Lake Reference Architecture 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 Reference Architecture 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 Reference Architecture investments work better.

This Data Lake Reference Architecture 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.