Steer Data Platforms: work closely with other Technology Teams to identify dependencies and collaboration needs (business applications, dev/ops, digital applications, network, infrastructure, architecture and delivery).

More Uses of the Data Platforms Toolkit:


• Ensure your organization analyzes and work with business and technical staff to assess existing Data Access and processing patterns, and designs Forward Thinking Data Architectures to meet business and technical needs.
  
  

• Coordinate, develop and implement reporting, tracking and data extraction functions and processes, in coordination with ITS and other stakeholders.
  
  

• Establish single sources of truth for investment data domains, immediate focus on holdings, transactions and account domains.
  
  

• Provide comprehensive cybersecurity support to identify the most efficient way to protect the system, networks, software, data and Information Systems against any potential attacks tailored to client specific Risk Appetite modelled by the Business Needs.
  
  

• Supervise Data Platforms: review available surveillance data to further develop and improve the threat scenarios and use cases.
  
  

• Confirm your team prepares system security reports by collecting, analyzing, and summarizing data and trends; presents reporting for Management Review.
  
  

• Utilize a range of data sources, systems, and tools to collect, search, recover, sort, and organize large volumes of digital evidence during all phases of the investigative process.
  
  

• Ensure you can derive insights from Customer Feedback, usage data, and external research, and provide input to your product and tech teams.
  
  

• Methodize Data Platforms: on your teams, working daily with product, design and Data Scientists to understand the problem and translate learnings into a pragmatic and effective solution.
  
  

• Adhere to Data Strategy, policies, controls, and programs to ensure the enterprise data is accurate, complete, secure, and reliable.
  
  

• Help design, construct and optimize systems to aggregate, transform and process large amounts of data from relational, columnar and other kinds of data stores.
  
  

• Establish that your team determines, select, organizes and analyzes appropriate data for the effectiveness and/or efficiency of operations for use in executing performance measurements.
  
  

• Identify relevant Test Automation tools in collaboration with client Data Architects.
  
  

• Pilot Data Platforms: work closely with software and Data Engineers to ensure adequate security solutions are in place throughout all systems.
  
  

• Be certain that your corporation complies; awareness of Data Governance practices, business and technology issues related to management of Enterprise Information Assets and approaches related to Data Protection.
  
  

• Confirm your organization creates detailed test designs and Test Plans; creates and review Test Data for performing test scenarios; execution of unit and system Test Scripts, debugging efforts and Defect Tracking, support of User Acceptance Testing, and software implementation and deployment tasks.
  
  

• Establish that your venture complies; implements, support and maintains a Failure Reporting, Analysis and Corrective Action System (FRACAS) closed loop Data Reporting system.
  
  

• Configure and maintain SAN infrastructure and Data Storage.
  
  

• Audit Data Platforms: partner with the technical team on providing the Business Needs of the data platform ensuring the Data Architecture and its associated structures meet both internal and external client needs.
  
  

• Initiate Data Platforms: proactively ensure Data integrity and accuracy along with completeness of key functional areas on all Internal Systems with extra attention to NetSuite conduct forensics, troubleshoot and correct reported problems or challenges to Data integrity or process completion on all Internal Systems.
  
  

• Compile and Clean Data sets from multiple sources.
  
  

• Collaborate with multiple areas to execute Data Mining efforts in support of long term Project Management.
  
  

• Ensure you orchestrate; lead the Data Strategy for each client based on available data sources in coordination with the implementation team.
  
  

• Assure successful generation of analytical results and visualizations for ongoing Data Collection efforts.
  
  

• Identify areas for Data Quality improvements and helps to resolve Data Quality problems through the appropriate choice of error detection and correction, Process Control and improvement, or Process Design strategies.
  
  

• Drive Data Platforms: partner with product, Data And Technology Teams to capture and maintain Resource Planning overview to ensure resources are optimally leveraged and proactively planned as part of mission planning processes.
  
  

• Fluent with Data Types and formats, Data Access and delivery modes, data and Metadata Management, web and Cloud Based Integration technologies, Big Data Solutions, IT infrastructure deployment models, and Enterprise Class architectural topics like performance, scalability, security and governance.
  
  

• Manage work with marketing planning and operations team to inCorporate Data into Content Development (focus on Customer Engagement, SEO, etc).
  
  

• Collaborate with it to design and model application Data Structures, storage and integration in accordance with enterprise wide architecture standards across legacy, web, cloud and purchased package environments.
  
  

• Supervise Data Platforms: plan, organize, and conduct data calls; gather information and requirements for calls; and create, maintain, and improve SOPs for data calls.
  
  

• Head Data Platforms: institutional Consulting Services is comprised of institutional client businesses providing enhanced client coverage, and greater efficiencies across the platforms supporting the institutional products.
  
  

• Supervise Data Platforms: implement extensive Strategic Thinking, planning and execution to improve Internal Processes and working practices between sales, Presales, services, product, legal and finance and drive greater Business Agility.
  
  


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

STEP 1: Get your bearings

Start with...


• The latest quick edition of the Data Platforms 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 Platforms improvements can be made.

Examples; 10 of the 999 standard requirements:


1. How do you stay inspired?
   
   

2. What are the disruptive Data Platforms technologies that enable your organization to radically change your business processes?
   
   

3. Who should receive measurement reports?
   
   

4. If there were zero limitations, what would you do differently?
   
   

5. When a Data Platforms manager recognizes a problem, what options are available?
   
   

6. Can you do Data Platforms without complex (expensive) analysis?
   
   

7. How is the value delivered by Data Platforms being measured?
   
   

8. Which functions and people interact with the supplier and or customer?
   
   

9. How are consistent Data Platforms definitions important?
   
   

10. What needs improvement? Why?
    
    


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


Your Data Platforms 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 Platforms Self-Assessment and Scorecard you will develop a clear picture of which Data Platforms 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 Platforms 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 PlatforMs Projects with the 62 implementation resources:


• 62 step-by-step Data Platforms Project Management Form Templates covering over 1500 Data PlatforMs 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 PlatforMs Project issues be unconditionally tracked through the Issue Resolution process?
   
   

4. Closing Process Group: Did the Data Platforms Project Team have enough people to execute the Data Platforms 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 Platforms 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 Platforms Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:


• 1.1 Data PlatforMs Project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:


• 2.1 Data Platforms 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 PlatforMs 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 PlatforMs 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 PlatforMs 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 PlatforMs 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 PlatforMs Project with this in-depth Data Platforms Toolkit.

In using the Toolkit you will be better able to:


• Diagnose Data PlatforMs 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 Platforms 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 Platforms investments work better.

This Data Platforms 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.