IT Professionals to consult with clients to analyze requirements and provide solutions to plan, design, develop, customize, test, integrate, implement, deploy and maintain Software Applications.

More Uses of the DataStage Toolkit:


• Establish that your operation leads Performance Monitoring and troubleshooting for Salesforce applications when necessary during Production Support and deployment exercises.
  
  

• Confirm your organization provides consulting support for Engineering and Business Partners by researching, identifying and resolving technical programming problems.
  
  

• Translate Functional Requirements into detailed designs, resource tasks, and estimates to Support Organization project delivery scoping and management.
  
  

• Manage to write Test Cases against transformation mapping to validate the application and track status in JIRA bug tracking and Agile Project Management.
  
  

• Be certain that your design creates a structure and organization for the management of a complex environment with emphasis on quality, productivity, and consistency.
  
  

• Make sure that your planning complies; exercises management responsibility over the achievement of performance, revenue, and profit objectives of a project and its contracts.
  
  

• Collaborate with teams to design and launch new features and stay up to date on new developments in Web Application and programming technologies.
  
  

• Ensure all of your consulting professionals receive comprehensive training covering Business Acumen, technical and professional Skills Development.
  
  

• Be accountable for managing the development and operations of the Enterprise Reporting and Data Warehousing solutions supporting your organization.
  
  

• Pilot: work in complex environments while performing multiple activities on concurrent development projects and existing Production Processes.
  
  

• Drive: architecture and deliver Data Warehousing solutions that exceed Customer Expectations in content, usability, accuracy, reliability and performance.
  
  

• Confirm your strategy ensures functional and Technical Requirements are met through System Testing, Regression Testing, Performance Testing, system interface testing, and Security Testing activities.
  
  

• Develop, document, and execute regression, functional, and integration tests across various data centric Enterprise Applications.
  
  

• Ensure your design creates analytical Data Models that predict and prescribe scenarios to facilitate business decisions based on statistical Data Models.
  
  

• Make sure that your design complies; completes all assigned tasks on time, at the highest quality level, with the Best Value that meets or exceeds Customer Expectations.
  
  

• Update/maintain detailed test plans; develops test scenarios and test scripts; and, traces requirements to Test Cases to ensure coverage for full System Integration test.
  
  

• Supervise: highly advanced skills associated with software specification, design, modification, implementation and deployment of large scale scope.
  
  

• Ensure you govern; lead small projects and teams to develop solutions for your customers working with the modeling and architecture team and Business Analysts across multiple departments.
  
  

• Lead all phases of the Software Development lifecycle using Agile Methodology and gather and analyze complex project requirements.
  
  

• Confirm your team complies; sets Design Specifications for End Users semantic layers and multi dimensional models across all Business Intelligence Tools and environments to meet User Needs.
  
  

• Lead the entire Software Development lifecycle, gather and analyze Business Requirements, and translate requirements into Technical Specifications and designs.
  
  

• Apply independent, technical and Procedural Knowledge to ensure that systems are developed pursuant to organization standards and project requirements as outlined.
  
  

• Supervise: research and stay abreast of the latest trends in BI technologies and work with vendors to carry out product evaluations and proof of concepts.
  
  

• Establish close working relationships with the Application Development Teams and understand business and Technical Requirements.
  
  

• Identify opportunities in Business Processes, system capabilities, and delivery methodologies for Continuous Improvement, as applicable.
  
  

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

• Lead the entire Software Development lifecycle, analyze and understand project requirements, and develop Technical Specifications and designs.
  
  

• Oversee: design, build, test and maintain scalable and stable Off The Shelf application or custom built Technology Solutions to meet Business Needs.
  
  

• Perform ongoing monitoring of the environment and applications for Capacity Planning, Performance Tuning and Improvement Opportunities.
  
  

• Serve as an escalation to resolve complex technical issues in collaboration with staff and provide updates to leadership and Business Partners.
  
  


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

STEP 1: Get your bearings

Start with...


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

Examples; 10 of the 999 standard requirements:


1. What is the purpose of DataStage in relation to the mission?
   
   

2. Where can you break convention?
   
   

3. What are the types and number of measures to use?
   
   

4. How will you measure success?
   
   

5. What is the problem or issue?
   
   

6. How do you use DataStage data and information to Support Organizational Decision Making and innovation?
   
   

7. How sensitive must the DataStage strategy be to cost?
   
   

8. Can you add value to the current DataStage decision-making process (largely qualitative) by incorporating uncertainty modeling (more quantitative)?
   
   

9. Who makes the DataStage decisions in your organization?
   
   

10. How do you manage scope?
    
    


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


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


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

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

1.0 Initiating Process Group:


• 1.1 DataStage project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:


• 2.1 DataStage Project Management Plan

• 2.2 Scope Management Plan

• 2.3 Requirements Management Plan

• 2.4 Requirements Documentation

• 2.5 Requirements Traceability Matrix

• 2.6 DataStage 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 DataStage 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 DataStage 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 DataStage 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 DataStage project with this in-depth DataStage Toolkit.

In using the Toolkit you will be better able to:


• Diagnose DataStage 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 DataStage 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 DataStage investments work better.

This DataStage 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.