What is involved in Test Data Management

Find out what the related areas are that Test Data Management connects with, associates with, correlates with or affects, and which require thought, deliberation, analysis, review and discussion. This unique checklist stands out in a sense that it is not per-se designed to give answers, but to engage the reader and lay out a Test Data Management thinking-frame.

How far is your company on its Test Data Management journey?

Take this short survey to gauge your organization’s progress toward Test Data Management leadership. Learn your strongest and weakest areas, and what you can do now to create a strategy that delivers results.

To address the criteria in this checklist for your organization, extensive selected resources are provided for sources of further research and information.

Start the Checklist

Below you will find a quick checklist designed to help you think about which Test Data Management related domains to cover and 359 essential critical questions to check off in that domain.

The following domains are covered:

Test Data Management, Data mining, Data access, Identity theft, Data steward, Data warehouse, Database administration, Data cleansing, Document management system, Business continuity planning, Data curation, Document management, Data asset, Management fad, Data security, Information Lifecycle Management, Data quality assurance, Data maintenance, Performance report, Data architecture, Data management plan, Customer data integration, Data theft, Computer data storage, Metadata publishing, Data modeling, Big data, Test Data Management, Master data management, Data mart, ERP software, Hierarchical storage management, Data quality, Reference data, CRM software, Database management system, Information repository, Data governance, Competence Center Corporate Data Quality, Information management, Identity management, Solution stack, System integration, Metadata registry, Information system, Data management, Random access, Data integrity, Data proliferation, Telephone number, Email address, Data processing, Metadata discovery, Process Management, Relational database, Machine-Readable Documents, Digital preservation, Marketing operations, Knowledge management, Data erasure, Information design, Open data, Postal code, Business intelligence, Records management, Information architecture, Information ladder, Enterprise content management, Extract, transform, load, Data privacy, Data retention:

Test Data Management Critical Criteria:

Steer Test Data Management outcomes and define Test Data Management competency-based leadership.

– Which customers cant participate in our Test Data Management domain because they lack skills, wealth, or convenient access to existing solutions?

– Does Test Data Management analysis isolate the fundamental causes of problems?

– Does our organization need more Test Data Management education?

Data mining Critical Criteria:

Differentiate Data mining engagements and look at the big picture.

– Do you see the need to clarify copyright aspects of the data-driven innovation (e.g. with respect to technologies such as text and data mining)?

– What types of transactional activities and data mining are being used and where do we see the greatest potential benefits?

– What is the difference between Data Analytics Data Analysis Data Mining and Data Science?

– What is the difference between business intelligence business analytics and data mining?

– Is business intelligence set to play a key role in the future of Human Resources?

– What programs do we have to teach data mining?

– What are specific Test Data Management Rules to follow?

– Why are Test Data Management skills important?

– What is Effective Test Data Management?

Data access Critical Criteria:

Detail Data access issues and suggest using storytelling to create more compelling Data access projects.

– Have internal procedural controls been established to manage user data access, including security screenings, training, and confidentiality agreements required for staff with pii access privileges?

– Who will be responsible for making the decisions to include or exclude requested changes once Test Data Management is underway?

– What impact would the naming conventions and the use of homegrown software have on later data access?

– What are the data access requirements for standard file, message, and data management?

– What should be our public authorities policy with regards to data access?

– What impact would the naming conventions have on later data access?

– What are the effects software updates have on later data access?

– What are the implications of tracking/monitoring data access?

– What are the usability implications of Test Data Management actions?

– Why is Test Data Management important for you now?

– How are data accessed?

Identity theft Critical Criteria:

Generalize Identity theft issues and change contexts.

– Think about the kind of project structure that would be appropriate for your Test Data Management project. should it be formal and complex, or can it be less formal and relatively simple?

– Identity theft could also be an inside job. Employees at big companies that host e-mail services have physical access to e-mail accounts. How do you know nobodys reading it?

– For your Test Data Management project, identify and describe the business environment. is there more than one layer to the business environment?

– Is a Test Data Management Team Work effort in place?

Data steward Critical Criteria:

Have a session on Data steward leadership and sort Data steward activities.

– Have data stewards (e.g.,program managers) responsible for coordinating data governance activities been identified and assigned to each specific domain of activity?

– What management system can we use to leverage the Test Data Management experience, ideas, and concerns of the people closest to the work to be done?

– Does Test Data Management appropriately measure and monitor risk?

– Other data stewards?

Data warehouse Critical Criteria:

Mix Data warehouse quality and visualize why should people listen to you regarding Data warehouse.

– What tier data server has been identified for the storage of decision support data contained in a data warehouse?

– What does a typical data warehouse and business intelligence organizational structure look like?

– Does big data threaten the traditional data warehouse business intelligence model stack?

– Is data warehouseing necessary for our business intelligence service?

– Is Data Warehouseing necessary for a business intelligence service?

– What is the purpose of data warehouses and data marts?

– What are alternatives to building a data warehouse?

– Do we offer a good introduction to data warehouse?

– Data Warehouse versus Data Lake (Data Swamp)?

– Are there recognized Test Data Management problems?

– Do you still need a data warehouse?

– Centralized data warehouse?

Database administration Critical Criteria:

Interpolate Database administration goals and assess and formulate effective operational and Database administration strategies.

– Rapid application development (rad) techniques have been around for about two decades now and have been used with varying degrees of success. sometimes rad is required for certain projects. but rad can be bad for database design. why?

– Disaster recovery planning, also called contingency planning, is the process of preparing your organizations assets and operations in case of a disaster. but what do we define as a disaster?

– What are our disaster recovery goal prioritazations? Do we want to get the system up as quickly as possible?

– What are your most important goals for the strategic Test Data Management objectives?

– What are the short and long-term Test Data Management goals?

– Who should be called in case of Disaster Recovery?

Data cleansing Critical Criteria:

Survey Data cleansing projects and create a map for yourself.

– What are your key performance measures or indicators and in-process measures for the control and improvement of your Test Data Management processes?

– Is there an ongoing data cleansing procedure to look for rot (redundant, obsolete, trivial content)?

– How do we maintain Test Data Managements Integrity?

– How do we Lead with Test Data Management in Mind?

Document management system Critical Criteria:

Huddle over Document management system governance and gather practices for scaling Document management system.

– What are the key elements of your Test Data Management performance improvement system, including your evaluation, organizational learning, and innovation processes?

– What about Test Data Management Analysis of results?

Business continuity planning Critical Criteria:

Drive Business continuity planning decisions and stake your claim.

– Does Test Data Management analysis show the relationships among important Test Data Management factors?

– What is the role of digital document management in business continuity planning management?

– Do Test Data Management rules make a reasonable demand on a users capabilities?

– What is business continuity planning and why is it important?

– How can skill-level changes improve Test Data Management?

Data curation Critical Criteria:

Frame Data curation engagements and slay a dragon.

– Who will be responsible for documenting the Test Data Management requirements in detail?

– What threat is Test Data Management addressing?

Document management Critical Criteria:

Transcribe Document management visions and balance specific methods for improving Document management results.

– What may be the consequences for the performance of an organization if all stakeholders are not consulted regarding Test Data Management?

– What are internal and external Test Data Management relations?

Data asset Critical Criteria:

Derive from Data asset outcomes and point out improvements in Data asset.

– Do we aggressively reward and promote the people who have the biggest impact on creating excellent Test Data Management services/products?

– What are the particular research needs of your organization on big data analytics that you find essential to adequately handle your data assets?

– Does Test Data Management create potential expectations in other areas that need to be recognized and considered?

– Is there a catalog of all data assets that will be used or stored in the cloud environment?

– What is the purpose of Test Data Management in relation to the mission?

Management fad Critical Criteria:

Dissect Management fad quality and raise human resource and employment practices for Management fad.

– What is the total cost related to deploying Test Data Management, including any consulting or professional services?

– How can you measure Test Data Management in a systematic way?

Data security Critical Criteria:

Depict Data security tactics and report on setting up Data security without losing ground.

– Does the cloud solution offer equal or greater data security capabilities than those provided by your organizations data center?

– What are the minimum data security requirements for a database containing personal financial transaction records?

– Is maximizing Test Data Management protection the same as minimizing Test Data Management loss?

– Do these concerns about data security negate the value of storage-as-a-service in the cloud?

– What are the challenges related to cloud computing data security?

– What business benefits will Test Data Management goals deliver if achieved?

– So, what should you do to mitigate these risks to data security?

– Does it contain data security obligations?

– What is Data Security at Physical Layer?

– What is Data Security at Network Layer?

– How will you manage data security?

Information Lifecycle Management Critical Criteria:

Troubleshoot Information Lifecycle Management engagements and know what your objective is.

– What other jobs or tasks affect the performance of the steps in the Test Data Management process?

Data quality assurance Critical Criteria:

Pay attention to Data quality assurance issues and suggest using storytelling to create more compelling Data quality assurance projects.

– How do we go about Comparing Test Data Management approaches/solutions?

Data maintenance Critical Criteria:

Collaborate on Data maintenance quality and ask what if.

– What are the disruptive Test Data Management technologies that enable our organization to radically change our business processes?

– Can Management personnel recognize the monetary benefit of Test Data Management?

Performance report Critical Criteria:

Prioritize Performance report results and create Performance report explanations for all managers.

– Do we obtain it performance reports illustrating the value of it from a business driver perspective (Customer Service, cost, agility, quality, etc.)?

– What new services of functionality will be implemented next with Test Data Management ?

Data architecture Critical Criteria:

Demonstrate Data architecture management and point out Data architecture tensions in leadership.

– Can we describe the data architecture and relationship between key variables. for example, are data stored in a spreadsheet with one row for each person/entity, a relational database, or some other format?

– What will be the consequences to the business (financial, reputation etc) if Test Data Management does not go ahead or fails to deliver the objectives?

– Among the Test Data Management product and service cost to be estimated, which is considered hardest to estimate?

– Does your bi software work well with both centralized and decentralized data architectures and vendors?

– Do we need an enterprise data warehouse, a Data Lake, or both as part of our overall data architecture?

Data management plan Critical Criteria:

Debate over Data management plan engagements and grade techniques for implementing Data management plan controls.

– A compounding model resolution with available relevant data can often provide insight towards a solution methodology; which Test Data Management models, tools and techniques are necessary?

– At what point will vulnerability assessments be performed once Test Data Management is put into production (e.g., ongoing Risk Management after implementation)?

– What would be needed in a data management plan to describe use of novel equipment?

– How important is Test Data Management to the user organizations mission?

– Who is responsible for managing the data and the data management plan?

– Where will the data and data management plan be stored?

– Should the data management plan be kept with the data?

– What is a data management plan?

Customer data integration Critical Criteria:

Discuss Customer data integration quality and be persistent.

– How do senior leaders actions reflect a commitment to the organizations Test Data Management values?

– When a Test Data Management manager recognizes a problem, what options are available?

Data theft Critical Criteria:

Shape Data theft governance and maintain Data theft for success.

– What sources do you use to gather information for a Test Data Management study?

– Think of your Test Data Management project. what are the main functions?

– What are the barriers to increased Test Data Management production?

Computer data storage Critical Criteria:

Facilitate Computer data storage quality and summarize a clear Computer data storage focus.

– How to deal with Test Data Management Changes?

– Is Test Data Management Required?

Metadata publishing Critical Criteria:

Give examples of Metadata publishing engagements and clarify ways to gain access to competitive Metadata publishing services.

– Is Test Data Management Realistic, or are you setting yourself up for failure?

– How to Secure Test Data Management?

Data modeling Critical Criteria:

Disseminate Data modeling decisions and probe Data modeling strategic alliances.

– How do we Improve Test Data Management service perception, and satisfaction?

Big data Critical Criteria:

Categorize Big data adoptions and find the ideas you already have.

– Do you see the need to support the development and implementation of technical solutions that are enhancing data protection by design and by default?

– Do we address the daunting challenge of Big Data: how to make an easy use of highly diverse data and provide knowledge?

– Do you see the need to address the issues of data ownership or access to non-personal data (e.g. machine-generated data)?

– What tools do you consider particularly important to handle unstructured data expressed in (a) natural language(s)?

– Wheres the evidence that using big data intelligently will improve business performance?

– Do we understand public perception of transportation service delivery at any given time?

– What would be needed to support collaboration on data sharing across economic sectors?

– Is senior management in your organization involved in big data-related projects?

– What is the contribution of subsets of the data to the problem solution?

– Does your organization have a strategy on big data or data analytics?

– With more data to analyze, can Big Data improve decision-making?

– Can analyses improve with more detailed analytics that we use?

– Big Data: what is different from large databases?

– Where Is This Big Data Coming From ?

– what is Different about Big Data?

– Does Big Data Really Need HPC?

– Are we Using Data To Win?

Test Data Management Critical Criteria:

Scrutinze Test Data Management tactics and probe using an integrated framework to make sure Test Data Management is getting what it needs.

– What are the Essentials of Internal Test Data Management Management?

Master data management Critical Criteria:

Administer Master data management engagements and interpret which customers can’t participate in Master data management because they lack skills.

– How do mission and objectives affect the Test Data Management processes of our organization?

– How does the organization define, manage, and improve its Test Data Management processes?

– What are some of the master data management architecture patterns?

– Why should we use or invest in a Master Data Management product?

– What Is Master Data Management?

Data mart Critical Criteria:

Reorganize Data mart issues and get answers.

– Record-keeping requirements flow from the records needed as inputs, outputs, controls and for transformation of a Test Data Management process. ask yourself: are the records needed as inputs to the Test Data Management process available?

– Is Test Data Management dependent on the successful delivery of a current project?

– What are all of our Test Data Management domains and what do they do?

ERP software Critical Criteria:

Review ERP software quality and assess and formulate effective operational and ERP software strategies.

– Who will be responsible for deciding whether Test Data Management goes ahead or not after the initial investigations?

– What prevents me from making the changes I know will make me a more effective Test Data Management leader?

– What ERP software has B2B B2C eCommerce WebStore Integration?

Hierarchical storage management Critical Criteria:

Deliberate Hierarchical storage management results and look in other fields.

– How will you know that the Test Data Management project has been successful?

– Why should we adopt a Test Data Management framework?

– How do we keep improving Test Data Management?

Data quality Critical Criteria:

Consolidate Data quality adoptions and define what our big hairy audacious Data quality goal is.

– Review availability, completeness and timeliness of reports from all service delivery points. how many reports should there have been from all service delivery points?

– Information on verification or evidence for the value and accuracy how can I check the value or have a confidence in it?

– Validation: does data meet analytic and sample specific requirements (usually done by a qa officer or external party)?

– What percentage of eligibles are not included on the data file or what percentage of those mandated are not compliant?

– At all levels at which data are aggregated, are procedures in place to reconcile discrepancies in reports?

– Does the reported data contain enough information to represent performance measure activities?

– Are key data-management staff identified with clearly assigned responsibilities?

– Are there established qualitative and quantitative measures of metaData Quality?

– Accuracy: does the data accurately represent reality or a verifiable source?

– View before and after results : did the integration go the way you thought?

– Do we use controls throughout the data collection and management process?

– What is the proportion of duplicate records on the data file extract?

– What criteria should be used to assess the performance of the system?

– Are we Implementing enterprise-wide Data Quality?

– How do you determine the quality of data?

– Has your tool delivered a positive roi?

– Where is the Domain Expertise?

– Why do we want to manage data?

– Are the results stable?

– Are records complete?

Reference data Critical Criteria:

Prioritize Reference data quality and diversify disclosure of information – dealing with confidential Reference data information.

– How do you incorporate cycle time, productivity, cost control, and other efficiency and effectiveness factors into these Test Data Management processes?

– Who needs to know about Test Data Management ?

CRM software Critical Criteria:

Investigate CRM software quality and check on ways to get started with CRM software.

– Is there an organized user group specifically for the CRM software?

– How much does Test Data Management help?

Database management system Critical Criteria:

Accelerate Database management system quality and cater for concise Database management system education.

– In what ways are Test Data Management vendors and us interacting to ensure safe and effective use?

– Who are the people involved in developing and implementing Test Data Management?

– What database management systems have been implemented?

– Are there Test Data Management problems defined?

Information repository Critical Criteria:

Analyze Information repository goals and point out improvements in Information repository.

– Do several people in different organizational units assist with the Test Data Management process?

– What is our formula for success in Test Data Management ?

Data governance Critical Criteria:

Scan Data governance outcomes and find the essential reading for Data governance researchers.

– Have policies and procedures been established to ensure the continuity of data services in an event of a data breach, loss, or other disaster (this includes a disaster recovery plan)?

– Before any rule is created or any data-related decision is made, a prior decision must be addressed: who gets to make the decision, and when, and using what process?

– Is there an existing data element or combination of data elements that can answer the same question that the proposed new data element is meant to address?

– Once a rule is created or a data-related decision is made, the organization will be ready to act on it. who should do what, and when?

– Are tools only acquired after requirements have been analyzed, or are major purchases sometimes made to use up year-end money?

– In relation to information governance, what are the key challenges or changes facing your organization?

– What technical specifications should we build into our infrastructure to produce quality data?

– Are there hiring and training practices especially for metadata and taxonomy positions?

– Does the expected cost/benefit of this new collection justify putting it in place?

– How can you affect the amount of, quality of, or protection of data and metadata?

– Does a User interface survey show which search ui is better ?

– Document distribution: how evenly does it divide the content?

– What will data governance look like in your organization?

– Do new candidates write code during their interview?

– How has data governance worked in real life?

– Do you use the best tools money can buy?

– Who owns the data that is collected?

– Is unnecessary capability harmful?

– How effective is data governance?

– What is data governance?

Competence Center Corporate Data Quality Critical Criteria:

Facilitate Competence Center Corporate Data Quality risks and correct Competence Center Corporate Data Quality management by competencies.

– Why is it important to have senior management support for a Test Data Management project?

– Risk factors: what are the characteristics of Test Data Management that make it risky?

Information management Critical Criteria:

Incorporate Information management outcomes and summarize a clear Information management focus.

– Do those selected for the Test Data Management team have a good general understanding of what Test Data Management is all about?

– Does Test Data Management systematically track and analyze outcomes for accountability and quality improvement?

– What is the difference between Enterprise Information Management and Data Warehousing?

– How is Business Intelligence and Information Management related?

Identity management Critical Criteria:

Accelerate Identity management tactics and finalize the present value of growth of Identity management.

– With so many identity management systems proposed, the big question is which one, if any, will provide the identity solution to become standard across the internet?

– Do we keep track of who the leading providers of identity management products and services are, and what are their key offerings, differentiators and strategies?

– How is the market for identity management evolving in new technologies, market trends and drivers, and user requirements?

– Did we develop our saas identity management solution in house or was it acquired from other vendors?

– Complement identity management and help desk solutions with closedloop import and export?

– What is the security -life cycle identity management business case?

– What are the identity management facilities of the provider?

– What is a secure identity management infrastructure?

– What is identity management to us (idm)?

– How can identity management help?

– What about identity management?

Solution stack Critical Criteria:

Chart Solution stack tasks and report on setting up Solution stack without losing ground.

– Meeting the challenge: are missed Test Data Management opportunities costing us money?

– How do we manage Test Data Management Knowledge Management (KM)?

System integration Critical Criteria:

Revitalize System integration projects and point out improvements in System integration.

– How do you address back-end system integration?

Metadata registry Critical Criteria:

Discourse Metadata registry visions and use obstacles to break out of ruts.

– What other organizational variables, such as reward systems or communication systems, affect the performance of this Test Data Management process?

Information system Critical Criteria:

Analyze Information system tasks and develop and take control of the Information system initiative.

– Have we developed a continuous monitoring strategy for the information systems (including monitoring of security control effectiveness for system-specific, hybrid, and common controls) that reflects the organizational Risk Management strategy and organizational commitment to protecting critical missions and business functions?

– Are there any easy-to-implement alternatives to Test Data Management? Sometimes other solutions are available that do not require the cost implications of a full-blown project?

– Has your organization conducted a cyber risk or vulnerability assessment of its information systems, control systems, and other networked systems?

– Are information security events and weaknesses associated with information systems communicated in a manner to allow timely corrective action to be taken?

– Would an information systems (is) group with more knowledge about a data production process produce better quality data for data consumers?

– Are information systems and the services of information systems things of value that have suppliers and customers?

– What does the customer get from the information systems performance, and on what does that depend, and when?

– What are the principal business applications (i.e. information systems available from staff PC desktops)?

– How do we make it meaningful in connecting Test Data Management with what users do day-to-day?

– Why Learn About Security, Privacy, and Ethical Issues in Information Systems and the Internet?

– What are information systems, and who are the stakeholders in the information systems game?

– How secure -well protected against potential risks is the information system ?

– Is unauthorized access to information held in information systems prevented?

– What does integrity ensure in an information system?

– Is authorized user access to information systems ensured?

– Is security an integral part of information systems?

– What is our Test Data Management Strategy?

Data management Critical Criteria:

Transcribe Data management results and do something to it.

– What metadata/documentation will be submitted alongside the data or created on deposit/ transformation in order to make the data reusable?

– What tools specific functionality do clients use the most often in data management to what degree and for what use case?

– If the source data is being updated, will you be notified or will you have to manually check?

– Of the data products generated during the project, which data will be shared?

– Is there someone checking to ensure that backups are being done properly?

– In what parts of the process is it especially important to collect data?

– How will re-appraisal of data be managed within the repository system?

– What are the business goals Test Data Management is aiming to achieve?

– What naming conventions are being used for files?

– What is data management and why is it important?

– How does an organization document its data?

– How will you capture or create the data?

– Who is expected to use the shared data?

– How should data be cited when used?

– Are there ethical considerations?

– Who is handling the backups?

– Who provides PDM software?

– How will costs be managed?

Random access Critical Criteria:

Depict Random access tactics and balance specific methods for improving Random access results.

– How can you negotiate Test Data Management successfully with a stubborn boss, an irate client, or a deceitful coworker?

– What are our Test Data Management Processes?

Data integrity Critical Criteria:

Win new insights about Data integrity failures and optimize Data integrity leadership as a key to advancement.

– Integrity/availability/confidentiality: How are data integrity, availability, and confidentiality maintained in the cloud?

– Who sets the Test Data Management standards?

– Can we rely on the Data Integrity?

– Data Integrity, Is it SAP created?

Data proliferation Critical Criteria:

Study Data proliferation tasks and question.

– How will we insure seamless interoperability of Test Data Management moving forward?

Telephone number Critical Criteria:

Talk about Telephone number tasks and reduce Telephone number costs.

– Do we all define Test Data Management in the same way?

Email address Critical Criteria:

Transcribe Email address visions and be persistent.

– Im working in an online services business and I collect the email addresses and IP addresses of my customers. I use these email addresses to send promotional messages. I use a cloud email tool to mass email. Do I need to extend my Terms of Use with an agreement of processing personal data or do I need to take additional steps to protect email addresses?

– In CRM we keep record of email addresses and phone numbers of our customers employees. Will we now need to ask for explicit permission to store them?

– Who is currently performing the database work, and how big is the legacy database in terms of addresses, email addresses, touches, preferences?

– Are a customers business phone number; business email address and business IP address also considered to be personal data?

– Who are the key service provider and customer contacts (name, phone number, email address)?

– Have all basic functions of Test Data Management been defined?

Data processing Critical Criteria:

Communicate about Data processing projects and probe the present value of growth of Data processing.

– Traditional data protection principles include fair and lawful data processing; data collection for specified, explicit, and legitimate purposes; accurate and kept up-to-date data; data retention for no longer than necessary. Are additional principles and requirements necessary for IoT applications?

– What are some strategies for capacity planning for big data processing and cloud computing?

– Who regulates/controls wording of the Consent for personal data processing document?

– Can the consent for personal data processing be granted to us over the phone?

– Do you see a need to share data processing facilities?

Metadata discovery Critical Criteria:

Troubleshoot Metadata discovery tactics and question.

Process Management Critical Criteria:

Frame Process Management tasks and finalize specific methods for Process Management acceptance.

– What process management and improvement tools are we using PDSA/PDCA, ISO 9000, Lean, Balanced Scorecard, Six Sigma, something else?

– Are we making progress? and are we making progress as Test Data Management leaders?

– What vendors make products that address the Test Data Management needs?

– Do we have past Test Data Management Successes?

Relational database Critical Criteria:

Map Relational database failures and oversee Relational database management by competencies.

– What are your current levels and trends in key measures or indicators of Test Data Management product and process performance that are important to and directly serve your customers? how do these results compare with the performance of your competitors and other organizations with similar offerings?

– Does the Test Data Management task fit the clients priorities?

Machine-Readable Documents Critical Criteria:

Survey Machine-Readable Documents risks and describe the risks of Machine-Readable Documents sustainability.

Digital preservation Critical Criteria:

Coach on Digital preservation leadership and intervene in Digital preservation processes and leadership.

– Can we do Test Data Management without complex (expensive) analysis?

Marketing operations Critical Criteria:

Scrutinze Marketing operations risks and remodel and develop an effective Marketing operations strategy.

– Think about the people you identified for your Test Data Management project and the project responsibilities you would assign to them. what kind of training do you think they would need to perform these responsibilities effectively?

– Have the types of risks that may impact Test Data Management been identified and analyzed?

– Which individuals, teams or departments will be involved in Test Data Management?

Knowledge management Critical Criteria:

Have a round table over Knowledge management strategies and ask questions.

– Learning Systems Analysis: once one has a good grasp of the current state of the organization, there is still an important question that needs to be asked: what is the organizations potential for developing and changing – in the near future and in the longer term?

– What are our needs in relation to Test Data Management skills, labor, equipment, and markets?

– What are the best practices in knowledge management for IT Service management ITSM?

– What best practices in knowledge management for Service management do we use?

– When is Knowledge Management Measured?

– How is Knowledge Management Measured?

Data erasure Critical Criteria:

Derive from Data erasure strategies and adjust implementation of Data erasure.

Information design Critical Criteria:

Troubleshoot Information design quality and observe effective Information design.

– What are the best places schools to study data visualization information design or information architecture?

Open data Critical Criteria:

Conceptualize Open data risks and interpret which customers can’t participate in Open data because they lack skills.

– In the case of a Test Data Management project, the criteria for the audit derive from implementation objectives. an audit of a Test Data Management project involves assessing whether the recommendations outlined for implementation have been met. in other words, can we track that any Test Data Management project is implemented as planned, and is it working?

Postal code Critical Criteria:

Meet over Postal code adoptions and figure out ways to motivate other Postal code users.

Business intelligence Critical Criteria:

Pay attention to Business intelligence outcomes and visualize why should people listen to you regarding Business intelligence.

– What are the potential areas of conflict that can arise between organizations IT and marketing functions around the deployment and use of business intelligence and data analytics software services and what is the best way to resolve them?

– Does a BI business intelligence CoE center of excellence approach to support and enhancements benefit our organization and save cost?

– What is the difference between Key Performance Indicators KPI and Critical Success Factors CSF in a Business Strategic decision?

– Does your bi solution require weeks of training before new users can analyze data and publish dashboards?

– What is the difference between a data scientist and a business intelligence analyst?

– Does your BI solution allow analytical insights to happen anywhere and everywhere?

– What are direct examples that show predictive analytics to be highly reliable?

– Was your software written by your organization or acquired from a third party?

– What are the best BI and reporting tools for embedding in a SaaS application?

– Who prioritizes, conducts and monitors business intelligence projects?

– What information needs of managers are satisfied by the new BI system?

– What is your anticipated learning curve for Technical Administrators?

– How are business intelligence applications delivered?

– Is the product accessible from the internet?

– Can your product map ad-hoc query results?

– What is your licensing model and prices?

– Is your BI software easy to understand?

Records management Critical Criteria:

Debate over Records management tactics and forecast involvement of future Records management projects in development.

– Have records center personnel received training on the records management aspects of the Quality Assurance program?

– Who is the main stakeholder, with ultimate responsibility for driving Test Data Management forward?

– How do we Identify specific Test Data Management investment and emerging trends?

– How will you measure your Test Data Management effectiveness?

Information architecture Critical Criteria:

Differentiate Information architecture engagements and oversee Information architecture requirements.

– If youre producing an intranet, the employees of your organization are the consumers. What is the cost of their time spent to find the information they need?

– Is there a solution for identifying relevant information using structural and semantic relationships of various information elements?

– Are the appropriate metadata standards including those for encoding and transmission of metadata information established?

– If the information architecture and design has been completed, are they reasonably uniform?

– what is a good application for drawing tree diagrams when planning information architecture?

– Has the usage analysis been performed for the information that will be generated?

– What is the difference between Interaction Design and Human Computer Interaction?

– Should you use a hierarchy or would a more structured database-model work best?

– Structure and composition (what kind of data will be utilized and/or created?)

– What are the top 10-20 most frequently visited pages on your existing website?

– What are the best practices for implementing an internal site search?

– What information should be displayed for each retrieved document?

– How important is information architecture on a website redesign?

– What are the short and long-term goals of the site?

– How is hierarchical drill-down revealed?

– Can it feel like browsing the shelves ?

– How to integrate with search results?

– Who comes to your website and why?

– Is there a metadata strategy?

– Why not the Amazon model ?

Information ladder Critical Criteria:

Explore Information ladder results and find out.

Enterprise content management Critical Criteria:

Analyze Enterprise content management tactics and explain and analyze the challenges of Enterprise content management.

Extract, transform, load Critical Criteria:

Air ideas re Extract, transform, load decisions and interpret which customers can’t participate in Extract, transform, load because they lack skills.

Data privacy Critical Criteria:

Interpolate Data privacy visions and know what your objective is.

– What are our best practices for minimizing Test Data Management project risk, while demonstrating incremental value and quick wins throughout the Test Data Management project lifecycle?

– Are stakeholders, including eligible students or students parents, regularly notified about their rights under applicable federal and state laws governing data privacy?

– Will Test Data Management deliverables need to be tested and, if so, by whom?

– Will the GDPR set up a one-stop-shop for data privacy regulation?

Data retention Critical Criteria:

Administer Data retention strategies and use obstacles to break out of ruts.


This quick readiness checklist is a selected resource to help you move forward. Learn more about how to achieve comprehensive insights with the Test Data Management Self Assessment:


Author: Gerard Blokdijk

CEO at The Art of Service | theartofservice.com

[email protected]


Gerard is the CEO at The Art of Service. He has been providing information technology insights, talks, tools and products to organizations in a wide range of industries for over 25 years. Gerard is a widely recognized and respected information expert. Gerard founded The Art of Service consulting business in 2000. Gerard has authored numerous published books to date.

External links:

To address the criteria in this checklist, these selected resources are provided for sources of further research and information:

Test Data Management External links:

Test Data Management – Compuware

Test data Management | Actifio

What is Test Data Management? – Definition from …

Data mining External links:

Data mining techniques (Book, 2002) [WorldCat.org]

Data Mining – RMIT University

[USC04] 42 USC 2000ee-3: Federal agency data mining reporting

Data access External links:

SHRP2 NDS Data Access

Colorado State Courts – Data Access – Home

[DOC]Data Access Authorization Agreement/Form – …

Identity theft External links:

[PDF]Identity Theft and Your Social Security Number

Identity Theft Recovery Steps | IdentityTheft.gov

RCW 9.35.020: Identity theft.

Data steward External links:

20 Best Title:(data Steward) jobs (Hiring Now!) | Simply Hired

Seiner’s Data Steward Rules | TDAN.com

Data steward
A data steward is a person responsible for the management and fitness of data elements (also known as critical data elements) – both the content and metadata. Data stewards have a specialist role that incorporates processes, policies, guidelines and responsibilities for administering organizations’ entire data in compliance with policy and/or regulatory obligations.

Data warehouse External links:

Regional Data Warehouse/Data Analysis Site

[PDF]Data Warehouse – Utility’s Smart Grid Clearinghouse
smartgrid.epri.com/UseCases/DW – Utility DOE SG Clearhouse_ph2add.pdf

Title 2 Data Warehouse – Data.gov

Database administration External links:

DBArtisan | Database Administration Solution

Data cleansing External links:

[DOC]Without a data cleansing – University of Oklahoma

Data Cleansing Solution – Salesforce.com

[DOC]Wave 1 – Data Cleansing Strategy – South Carolina

Document management system External links:

The DIA’s Document Management System (DMS) | Mass.gov

Electronic Document Management System for Higher …

Data curation External links:

CiteSeerX — Data Curation at Scale: The Data Tamer System

Title: Data Curation APIs – arXiv

Document management External links:

What Is Document Management? – msdn.microsoft.com

Document Management Incorporated :: Motor Vehicle Solutions

Data asset External links:

Our Data Asset | JPMorgan Chase Institute

data asset register | Research Data Blog

Management fad External links:

Is ‘mindfulness’ just another management fad? | Fortune

Data security External links:

[PPT]Data Security – CITI – University of Massachusetts Amherst

[PDF]Automotive Data Security – SAE International

Visitor & Access Management – TDS – Time Data Security

Information Lifecycle Management External links:

Information Lifecycle Management Simplified

Information Lifecycle Management (ILM) | Informatica US

Data quality assurance External links:

Data quality assurance – SearchDataManagement

Data Quality Assurance Jobs, Employment | Indeed.com

Data maintenance External links:

Data Maintenance Specialist Jobs, Employment | Indeed.com

Job Information: Data Maintenance Specialist Job

Data Maintenance Coordinator | IllinoisJobLink.com

Performance report External links:

Open Ratings Past Performance Report Results

Due Diligence Bank Performance Report – Bauer Financial

The Mile Marker: A Caltrans Performance Report

Data architecture External links:

Data Roadmaps – Data Strategy, Data Architecture

Data Architecture and Analytics | [email protected]

Data Architecture | UDig

Data management plan External links:

Metadata for Data: Data Management Plan | NCSU Libraries


Data Management Plan Tool | Division of Information …

Customer data integration External links:

Customer Data Integration – Dell Boomi

Customer Data Integration – Just another Tamr Inc. Sites site

Data theft External links:

RCW 9A.90.100: Electronic data theft.

Data Theft | Verizon Community

Metadata publishing External links:

Metadata publishing – update.revolvy.com
update.revolvy.com/topic/Metadata publishing&item_type=topic

Data modeling External links:

[PDF]Data Modeling Basics – Pennsylvania

Data Modeling in Visio 2013 – YouTube

[PDF]Spatial data modeling (types) – UTSA

Big data External links:

Swiftly – Leverage big data to move your city

Pepperdata: DevOps for Big Data

Qognify: Big Data Solutions for Physical Security & …

Test Data Management External links:

Test data Management | Actifio

Test Data Management – Compuware

What is Test Data Management? – Definition from …

Master data management External links:

Data Quality with Master Data Management and Data …

Healthcare Master Data Management

Best Master Data Management (MDM) Software – G2 Crowd

Data mart External links:

[PDF]A Basic Primer on Data Marts – webgrok.com

MPR Data Mart

ERP software External links:

BUSINESS™ ERP Software – Accounting, CRM, HR, …

Best ERP Software in 2017 | G2 Crowd

ERP software solutions built on Microsoft Dynamics NAV

Hierarchical storage management External links:

Hierarchical Storage Management for Relational Databases

Data quality External links:

Integrated Data Quality Solutions by helpIT systems

Data quality (Book, 2001) [WorldCat.org]

Data quality (eBook, 2002) [WorldCat.org]

Reference data External links:

Reference data : CIBSE guide C. (eBook, 2001) …

Reference data : CIBSE guide C. (Book, 2001) [WorldCat.org]

GWA Reference Data

CRM software External links:

Sales CRM Software for B2B Teams | SalesSeek

Financial Services CRM Software | DebtPayPro

Small Business CRM Software System – SalesPro CRM

Database management system External links:

Petroleum Database Management System (PDMS)

10-7 Operating System, Database Management System, …

Database Management System | Lucidea

Information repository External links:

[PDF]Collections Information Repository (CIR) Request …

Information Repository – doc.odoo.com

replex.io | the infrastructure information repository

Data governance External links:

Institutional Data Governance | Vanderbilt University

Dataguise | Sensitive Data Governance

What is data governance (DG)? – Definition from WhatIs.com

Competence Center Corporate Data Quality External links:

Competence Center Corporate Data Quality | CDQ AG – …

Information management External links:

Home | Information Management

Information Management Group, Inc.

Identity management External links:

Login Page – Planned Parenthood Identity Management

Colorado Department of Education Identity Management

Sample Identity Management Job Descriptions | HIMSS

Solution stack External links:

Nodus eStore Solution Stack Sales Tax Automation – Avalara

System integration External links:

Laser System Integration | Worldwide Laser Service Corp.

System Integration | Industrial Automation

WSI – Wireless System Integration – is an IoT enabler

Metadata registry External links:

Home – Aristotle Open Metadata Registry

Information system External links:

National Motor Vehicle Title Information System

[PDF]National Motor Vehicle Title Information System

National Motor Vehicle Title Information System

Data management External links:

Data Management Software with Analytics – Immediate ROI

What is Data Management: Definition | Informatica US

Fountas & Pinnell Literacy Online Data Management System

Random access External links:

Title: Quantum random access memory – arxiv.org

Random Access file in VB – UND: University of North Dakota

“Flash Gordon” Random Access (TV Episode 2007) – IMDb

Data integrity External links:

Job Details: Data Integrity Specialist

Telephone number External links:

Emergency response telephone number for DOT compliance for hazardous materials shipping papers, as required by 49 CFR 172.604 for shippers and private carriers.

PERS | Emergency Response Telephone Number

Email address External links:

Using your @icloud.com email address – Apple Support

Data processing External links:

Data processing (Book, 1988) [WorldCat.org]

Data Factory – Data processing service | Microsoft Azure

[PDF]Data Processing Center – Maine.gov

Metadata discovery External links:

Metadata discovery – Revolvy
www.revolvy.com/topic/Metadata discovery

Process Management External links:

Naviant – Business Process Management

Process Management
Management process is a process of setting goals, planning and/or controlling the organizing and leading the execution of any type of activity, such as: a project (project management process) or. a process (process management process, sometimes referred to as the process performance measurement and management system).

HEFLO BPM | Business Process Management

Relational database External links:


Relational Algebra | Relational Database | Relational Model

Information Modeling and Relational Databases – …

Digital preservation External links:

Digital Preservation Conferences – Digital Library Federation

Digital Preservation Education

Marketing operations External links:

Simple – Marketing Operations Platform – Get to Market Faster

Marketing Operations – Aprimo

Teradata Marketing Operations Login – Aprimo

Knowledge management External links:

Knowledge Management Software | Lucidea

Knowledge Management System – Login

tealbook | Supplier Discovery, Knowledge Management …

Data erasure External links:

Secure and Certified Data Erasure Software — BitRaser

Mobile Erasure – Enterprise Data Erasure

Data Erasure Solutions | Kroll Ontrack

Information design External links:

Information Design: The Understanding Discipline

Information design (Book, 2000) [WorldCat.org]

Information design (Book, 1999) [WorldCat.org]

Open data External links:

Michigan | Open Data | Michigan | Open Data

data.pa.gov | PA Open Data Portal

State of New York | Open Data Health | Health Data NY

Postal code External links:

Honduras Zip Codes – Postal Code

Canada Postal Codes Database – GreatData.com

World Postal Code – free postcode lookup & finder

Business intelligence External links:

[PDF]Position Title: Business Intelligence Analyst – ttra

business intelligence jobs | Dice.com

Records management External links:

National Archives Records Management Information Page

Records Management – Record Series

Information architecture External links:

Information Architecture Resource Library | IA Institute

Information Architecture | The Understanding Group

Information Architecture | Kent State University

Enterprise content management External links:

Enterprise Content Management (ECM) Services – Xerox

Best Enterprise Content Management (ECM) Software in …

Extract, transform, load External links:

What is ETL (Extract, Transform, Load)? Webopedia …

What is ETL (Extract, Transform, Load)? Webopedia Definition

Data privacy External links:

Student Data Privacy Consortium

Data Privacy and Cybersecurity | Mass.gov

Data retention External links:

What is data retention? – Definition from WhatIs.com

Netflow: data retention – Salesforce.com

Data retention guidelines – Meta

Categories: Documents