Establish Data Technology: act to resolve issues which prevent effective team working, even during times of change and uncertainty.

More Uses of the Data Technology Toolkit:


• Arrange that your organization serves as an advanced Data Technology expert in design efforts, Proof of Concept (POC) exercises, analysis of solutions, Performance Tuning/testing and interfaces for new software deliverables or for making significant enhancements to existing ones.
  
  

• Work with the Data Technology Teams (PMO, Business Analysis, Data Architecture, Information Governance, Operational Data, Data Acquisition, Analytics and Infrastructure) to support and innovate on the Enterprise Data Warehouse platform.
  
  

• Manage work with the Data Technology Teams (PMO, Business Analysis, Data Architecture, Information Governance, Operational Data, Data Acquisition, Analytics and Infrastructure) to support and innovate on the Enterprise Data Warehouse platform.
  
  

• Confirm your organization serves as an advanced Data Technology expertise in design efforts, Proof of Concept (POC) exercises, analysis of solutions, Performance Tuning/testing and interfaces for new software deliverables or for making significant enhancements to existing ones.
  
  

• Be accountable for developing and executing on Cold calling and email campaign strategies to qualify potential customers as a match for your Big Data Technology.
  
  

• Manage work with the Data Technology Teams (PMO, Business Analyst, Data Architecture, Information Governance, Operational Data, Data Acquisition, Analytics and Infrastructure) to support and innovate on the Enterprise Data Warehouse platform.
  
  

• Confirm your design generates and performs Quality Assurance of Data Models produced and identify any data issues; develop Corrective Action plans to address results.
  
  

• Collaborate with analytics and business teams to improve Data Models that feed Business Intelligence tools, increasing data accessibility and fostering Data Driven Decision Making across your organization.
  
  

• Head Data Technology: API design and development, Performance Analysis, Distributed Systems design, testing and verification technologies, Data Processing, Cloud Computing, and networking.
  
  

• Methodize Data Technology: Data Integration incorporate new business and system data into the Data Warehouse while maintaining enterprise Best Practices and adhering to Data Governance Standards.
  
  

• Systematize Data Technology: partner with engineering, sales, and marketing teams to successfully deliver market leading products that free developers and Data Scientists to deliver intelligent applications.
  
  

• Assume responsibility for Data integrity among various internal groups and/or between internal and external sources.
  
  

• Ensure you manage; lead Enterprise Information Delivery Software Engineers, Enterprise Data Integration Software Engineers and Enterprise Business/Data Analysts on data requirements and Quality Assurance.
  
  

• Identify process issues and suggest changes to improve Response Time, accuracy and Data Reliability.
  
  

• Collaborate with other market insights related colleagues to synthesize internal and external information, analytics and data to arrive at value added conclusions.
  
  

• Identify root cause of any issues and drive appropriate Corrective Actions of Data integrity with supplier and follow up items for actuarial and Financial Reporting.
  
  

• Arrange that your project provides Data And Analytics expertise to support the measurement of learning effectiveness.
  
  

• Manage forces with Data Scientists to build superlative predicative breach capabilities leveraging Machine Learning that support Data Driven actions.
  
  

• Drive Data Management and governance process to grow together disparate data assets, curate key data domains into sources of truth and help create a Data Backbone supporting analytics and reporting.
  
  

• Oversee the development of a system for creating reporting and learning materials from data and research collected throughout the project.
  
  

• Manage work with clients/testers to ensure the product meets the client requirements in phases of Data Validation, User Acceptance Testing, etc.
  
  

• Standardize Data Technology: Data Governance and retention (retention policies, Data Governance Reports And Dashboards, information holds, import data in the Security And Compliance center, manage inactive mailboxes).
  
  

• Participant in the development and use tactical, spreadsheet based tools, which can search Data Warehouses at a trade level, filter unwanted information and display the remaining results concisely, for subsequent analysis.
  
  

• Analyze real time data and make logical determinations of response to changing electrical and physical conditions.
  
  

• Coordinate Data Technology: design, implement and test manufacturing tests to validate Mass Production of digital boards used in Data Center networking product.
  
  

• Formulate Data Technology: design, develop, and implement Data Governance guidelines in coordination with the Master Data Governance organization.
  
  

• Direct Data Technology: management of Data Lifecycle, from creation to retention to deletion.
  
  

• Manage Data Technology: payroll, employee data administration, Customer Service, Call Center, Vendor Management, etc.
  
  

• Be accountable for defining project strategy, scope, specifications, reliability, performance, and support for enterprise level applications using Master Data Management (MDM), ETL process (extract, transform, load), web, and ui (User Interface).
  
  

• Manage work with business teams to perform Requirements Gathering sessions to develop the scope and design of new and existing dashboards, alerts, reports, and data sources.
  
  

• Support delivery of components of client engagements that identify, design, and implement business and technology solutions for large companies.
  
  

• Confirm your venture complies; monitors Information security controls and protocols and ensures adherence to regulatory and statutory requirements aligned with standardized security frameworks.
  
  


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

STEP 1: Get your bearings

Start with...


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

Examples; 10 of the 999 standard requirements:


1. Why do the measurements/indicators matter?
   
   

2. What methods do you use to gather Data Technology data?
   
   

3. What is your organizations process which leads to recognition of value generation?
   
   

4. What does your signature ensure?
   
   

5. Think about some of the processes you undertake within your organization, which do you own?
   
   

6. Are the most efficient solutions problem-specific?
   
   

7. How long will it take to change?
   
   

8. How do senior leaders actions reflect a commitment to the organizations Data Technology values?
   
   

9. How will you know that you have improved?
   
   

10. Are all team members qualified for all tasks?
    
    


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


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


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

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

1.0 Initiating Process Group:


• 1.1 Data Technology project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:


• 2.1 Data Technology 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 Technology 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 Technology 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 Technology 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 Technology 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 Technology project with this in-depth Data Technology Toolkit.

In using the Toolkit you will be better able to:


• Diagnose Data Technology 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 Technology 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 Technology investments work better.

This Data Technology 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.