Data Integration Toolkit

Downloadable Resources, Instant Access
Adding to cart… The item has been added

Evaluate, support and document System Integrations, Data Flows, Data Models, Data Architecture, and understand how cross functional and cross business unIT Teams consume and activate content Metadata to plan out Data Integration and Data Sharing environments.

More Uses of the Data Integration Toolkit:

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

  • Formulate: partner with manufacturing engineers to develop the Data Integrations that enable visibility into manufacturing production, equipment, processes, and product tests.

  • Manage work with planners to provide guidance on how data can be utilized to inform annual planning insights and work with the team to help inform how Data Integration evolves the planning process.

  • Ensure your group develops expertise in the applications and maintains a solid knowledge with respect to Automated Testing tools and techniques that support ETL/Data Integration Testing.

  • Coordinate with business unit analysts to understand Business Reporting requirements and translate needs into Data Integration, extraction, and transformation processes between Operational Systems and the Data Warehouse.

  • Develop and manage Data Services for provisioning data, improves Data Integration by designing and evaluating new Data Interchange formats; improving physical design; rewriting Data Policy, standards, and procedures.

  • Confirm your enterprise complies; this group also ensures the data needs across the Crew Management organization are met by working closely with IT to build and test databases, BI layers and Data Integration solutions.

  • Manage: conduct research on eMerging Data Integration products, languages, and standards in support of procurement, development, security, and Integration Efforts in relation to the cloud, BI, and Big Data management.

  • Provide support to the Data and Application Integration Team by developing and communicating middleware based Integration Architecture, strategies, guidelines, standards, and leading practices.

  • Oversee: work closely with business owners, product owners, and related applications to ensure requirements are interpreted correctly in detailed Design Specifications and in the Data Integration implementations.

  • Manage work with Database Administrators, network administrators, systems analysts, and Software Engineers to help resolve problems with ETL and Data Integration Service Applications.

  • Develop productive relationships with Business UnIT Leaders across your organization to influence how Data Integration Technology Solutions can enable new sources of value.

  • Develop and maintain Data Services to other application as standard mechanism to access data, improves Data Integration by designing and evaluating new Data Interchange formats; improving physical design; rewriting Data Policy, standards, and procedures.

  • Manage systems vendors and internal Technical Support teams to gain access to business data, defining the Technical Requirements for Data Integration, and ensuring successful set up and testing of integrations.

  • Be accountable for improving advertising efficiency through model enhancement, Data Integration and/or New Business Model developments, analyzing customers Lifetime Value and develop Data Driven processes to improve customer engagements.

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

  • Identify opportunities to enhance standards and incorporate Best Practices in the areas of Data Wrangling, Data Visualization, Data Integration, and Business Decision Modeling (BDM).

  • Head: model based integration requirements capture and management in cameo Enterprise Architecture for enablement of consumption of model Data Integration, test, and evaluation.

  • Collaborate with other engineers and implementation managers throughout the development process to release functional, performant and Secure Data Integrations on a regular basis.

  • Establish/Manage Relationships with Decision Sciences and other Business UnIT Leaders to ensure convergence and strategic partnering in Data Integration and Advanced Analytics needs.

  • Solve your most challenging Data Integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unStructured Data sources.

  • Develop and deliver long term Strategic Goals for Data Integration standards in conjunction with data users, department managers, clients, and other Key Stakeholders.

  • Provide technical Service Support and documentation to help stakeholders understand, implement, validate, and troubleshoot the installation and operation of the Data Integration processes.

  • Make sure that your operation provides guidance for Performance Test initiatives that take a true End To End focus on ensuring client side, server tiers, database and Data Integration jobs are performing as expected.

  • Manage counterparts in IT, Master Data Integration coordination with MDM team and Salesforce part in the customer creation and maintenance process with Informatica.

  • Be certain that your business complies; teams with other consulting and sales colleagues to develop a trusted advisor relationship with clients with the specific objective of achieving further penetration into accounts and attaining meaningful follow on sales.

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

  • Make sure that your strategy leads and grows a practice that supports Enterprise Data and analytic initiatives at healthcare payers and providers through Data Strategy, Data Architecture, Data Integration, Data Modeling, BI and analytic Technology Enablement.

  • Maintain high standards of Data Quality through the introduction and enforcement of Information Handling processes and organization of the Data Integration processes.

  • Be accountable for creating or optimizing current ETL processes, employing and recommending a variety of Data Integration and Data Preparation tools, or writing code as Scala, Python and Java.


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

STEP 1: Get your bearings

Start with...

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

Examples; 10 of the 999 standard requirements:

  1. What, related to, Data Integration processes does your organization outsource?

  2. Who defines (or who defined) the rules and roles?

  3. Are the criteria for selecting recommendations stated?

  4. How do you determine the key elements that affect Data Integration workforce satisfaction, how are these elements determined for different workforce groups and segments?

  5. Are accountability and ownership for Data Integration clearly defined?

  6. How do you accomplish your long range Data Integration goals?

  7. How can you better manage risk?

  8. Why a Data Integration focus?

  9. What are predictive Data Integration analytics?

  10. What controls do you have in place to protect data?

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

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

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

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

1.0 Initiating Process Group:

2.0 Planning Process Group:

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 Integration 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 Integration 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 Integration project with this in-depth Data Integration Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Data Integration 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 Integration 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 Integration Investments work better.

This Data Integration 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.