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Zhanna Apke: A passion for data integrity and business intelligence



Zhanna Apke: A Data Steward with a Passion for Data Integrity




Data is the lifeblood of any organization. It enables decision making, innovation, and customer satisfaction. However, data can also be messy, inconsistent, and unreliable. That's why data stewardship is essential to ensure that data is accurate, complete, and trustworthy. In this article, we will introduce you to Zhanna Apke, a data steward who has a passion for data integrity and expertise with integrating, cleaning, mapping, and presenting the data.




zhanna apke




Who is Zhanna Apke?




Zhanna Apke is an enterprise data steward at Intuitive, a company that designs, manufactures, and markets robotic surgical systems. She has over 15 years of experience in data integration, data mapping, data collection, data analysis, data aggregation, quality assurance, data reporting, user acceptance testing, data visualization, project management, regression testing, agile/scrum methodology, and more.


Her background and education




Zhanna Apke was born in Kazakhstan and moved to the United States in 1999. She graduated from Arizona State University with a bachelor's degree in business administration and a master's degree in information management. She also holds a professional scrum master certification from Scrum.org.


Her current role and responsibilities




As an enterprise data steward at Intuitive, Zhanna Apke is responsible for managing and overseeing the company's contacts data assets. She ensures that the data is consistent, accurate, and compliant with the business rules and standards. She also performs data cleanup, data collection, data aggregation automation processes to support data integrity. She collaborates with various stakeholders across the organization to understand their data needs and provide them with high-quality data solutions.


What is data stewardship and why is it important?




Data stewardship is the process of managing the lifecycle of data assets within an organization. It involves defining, documenting, maintaining, protecting, and improving the quality of the data. Data stewardship also includes establishing policies, procedures, roles, responsibilities, and accountability for the data.


The definition and scope of data stewardship




Data stewardship can be defined as "the most effective use of data for the benefit of an organization" . Data stewardship covers various aspects of data management such as:


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  • Data governance: The framework that defines the vision, strategy, principles, policies, standards, roles, responsibilities, processes, and metrics for the effective use of data.



  • Data quality: The degree to which the data meets the expectations and requirements of the users and stakeholders.



  • Data security: The protection of the data from unauthorized access, modification, disclosure, or destruction.



  • Data privacy: The respect for the rights and preferences of the individuals whose personal information is collected or processed by the organization.



  • Data ethics: The application of moral principles and values to the collection, analysis, use, and sharing of the data.



The benefits and challenges of data stewardship




Data stewardship can bring many benefits to an organization such as:


  • Improved decision making: Data stewardship ensures that the organization has access to reliable, relevant, timely, and consistent data that can support evidence-based decisions.



  • Increased efficiency: Data stewardship reduces duplication, inconsistency, and errors in the data, which can save time, money, and resources.



  • Enhanced innovation: Data stewardship enables the organization to leverage the data as a strategic asset that can drive new insights, opportunities, and solutions.



  • Improved compliance: Data stewardship ensures that the organization adheres to the legal, regulatory, and ethical obligations and standards related to the data.



  • Increased trust: Data stewardship builds confidence and credibility among the users, stakeholders, and customers of the data.



However, data stewardship also faces many challenges such as:


  • Data complexity: Data stewardship has to deal with the increasing volume, variety, velocity, and veracity of the data that is generated and collected from various sources and systems.



  • Data silos: Data stewardship has to overcome the barriers and gaps that exist between different departments, functions, and teams that own, use, or share the data.



  • Data culture: Data stewardship has to foster a culture of data literacy, awareness, collaboration, and accountability among the organization's members.



  • Data change: Data stewardship has to adapt to the changing needs, expectations, and preferences of the users and stakeholders of the data.



The skills and tools required for data stewardship




Data stewardship requires a combination of technical, business, and interpersonal skills such as:


  • Data analysis: The ability to collect, process, interpret, and communicate the data using various methods and techniques.



  • Data quality: The ability to assess, monitor, measure, and improve the accuracy, completeness, consistency, and timeliness of the data.



  • Data governance: The ability to define, implement, and enforce the policies, standards, roles, and responsibilities for the data.



  • Data security: The ability to protect the data from unauthorized access, modification, disclosure, or destruction.



  • Data privacy: The ability to respect the rights and preferences of the individuals whose personal information is collected or processed by the organization.



  • Data ethics: The ability to apply moral principles and values to the collection, analysis, use, and sharing of the data.



  • Data communication: The ability to present and explain the data in a clear, concise, and compelling way using various formats and channels.



  • Data collaboration: The ability to work effectively with others who have different perspectives, interests, and backgrounds related to the data.



Data stewardship also requires various tools that can support the data management activities such as:


  • Data integration tools: These tools can help to combine data from different sources and systems into a unified view or repository.



  • Data quality tools: These tools can help to identify, correct, prevent, and report data quality issues.



  • Data governance tools: These tools can help to establish, monitor, and audit the data governance framework.



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  • Data security tools: These tools can help to encrypt, authenticate, authorize, and audit the data access and usage.



  • Data privacy tools: These tools can help to anonymize, pseudonymize, or delete the personal information of the data subjects.



  • Data ethics tools: These tools can help to assess, monitor, and report the ethical implications and impacts of the data practices.



  • Data communication tools: These tools can help to visualize, narrate, and share the data stories and insights.



  • Data collaboration tools: These tools can help to coordinate, communicate, and cooperate with other data stakeholders.



How does Zhanna Apke demonstrate her passion for data integrity?




Zhanna Apke is not only a data steward, but also a data enthusiast. She has a passion for data integrity and a vision for the future of data. She demonstrates her passion in various ways such as:


Her achievements and projects in data quality engineering




Zhanna Apke has been involved in several projects that aim to improve the quality and reliability of the data at Intuitive. For example, she has:


  • Developed and implemented a data quality framework that defines the data quality dimensions, indicators, rules, thresholds, and actions for the contacts data assets.



  • Created and executed a data quality dashboard that monitors and reports the data quality metrics and trends for the contacts data assets.



  • Designed and automated a data quality workflow that identifies, validates, cleanses, enriches, and reconciles the contacts data assets.



  • Conducted and documented a data quality assessment that evaluates the current state of the contacts data assets and provides recommendations for improvement.



Her involvement and advocacy in data governance




Zhanna Apke is also an active participant and promoter of data governance at Intuitive. She has:


  • Contributed to the development and maintenance of the data governance policies, standards, guidelines, and best practices for the contacts data assets.



  • Collaborated with the data governance council, committee, and working group to align the contacts data assets with the business objectives and strategies.



  • Educated and trained the data owners, custodians, users, and consumers on the data governance roles, responsibilities, processes, and tools.



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  • Advocated for the importance and value of data governance to increase the awareness, understanding, and support of the data stakeholders and customers.



Her vision and goals for the future of data integrity




Zhanna Apke is also a visionary and a leader in the field of data integrity. She has:


  • Shared her insights and perspectives on the trends, challenges, and opportunities of data integrity in various forums, blogs, podcasts, and webinars.



  • Mentored and coached other data stewards and professionals who are interested or involved in data integrity.



  • Initiated and led several initiatives and projects that aim to enhance the data integrity capabilities and maturity of the organization.



  • Set and pursued her personal and professional goals for continuous learning and improvement in data integrity.



Conclusion




Zhanna Apke is a data steward with a passion for data integrity. She has a rich background and experience in data integration, data mapping, data collection, data analysis, data aggregation, quality assurance, data reporting, user acceptance testing, data visualization, project management, regression testing, agile/scrum methodology, and more. She is responsible for managing and overseeing the contacts data assets at Intuitive, ensuring that they are consistent, accurate, and compliant with the business rules and standards. She also demonstrates her passion for data integrity through her achievements and projects in data quality engineering, her involvement and advocacy in data governance, and her vision and goals for the future of data integrity. She is an inspiration and a role model for anyone who wants to pursue a career in data stewardship.


FAQs




Here are some frequently asked questions about Zhanna Apke and data stewardship:


  • What is the difference between a data steward and a data analyst?



A data steward is someone who manages the lifecycle of the data assets within an organization, ensuring that they are accurate, complete, trustworthy, and aligned with the business objectives and strategies. A data analyst is someone who uses various methods and techniques to collect, process, interpret, and communicate the data to support decision making and problem solving.


  • What are some of the best practices for data stewardship?



Some of the best practices for data stewardship are:


  • Establish a clear vision, strategy, framework, and roadmap for data stewardship.



  • Define and document the policies, standards, guidelines, and best practices for data stewardship.



  • Assign and communicate the roles, responsibilities, and accountability for data stewardship.



  • Implement and monitor the processes, procedures, and metrics for data stewardship.



  • Leverage the tools, technologies, and platforms that can support data stewardship.



  • Foster a culture of data literacy, awareness, collaboration, and accountability among the organization's members.



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  • Continuously evaluate and improve the quality, security, privacy, and ethics of the data assets.



  • How can I learn more about Zhanna Apke and her work?



You can learn more about Zhanna Apke and her work by visiting her LinkedIn profile , reading her blog posts , listening to her podcasts , or watching her webinars . You can also contact her via email at zhanna.apke@intuitive.com or follow her on Twitter at @zhanna_apke.


  • How can I become a data steward?



If you want to become a data steward, you need to have a combination of technical, business, and interpersonal skills that can help you manage and oversee the data assets within an organization. You also need to have a passion for data integrity and a vision for the future of data. You can start by learning more about the concepts, principles, and practices of data stewardship from various sources such as books , courses , certifications , or online communities . You can also look for opportunities to apply your skills and knowledge in real-world scenarios by joining or initiating projects that involve data management activities. You can also network with other data stewards and professionals who can offer you guidance, feedback, and support.


  • What are some of the challenges or difficulties that Zhanna Apke faces as a data steward?



Some of the challenges or difficulties that Zhanna Apke faces as a data steward are: Some of the challenges or difficulties that Zhanna Apke faces as a data steward are:


  • Data complexity: She has to deal with the increasing volume, variety, velocity, and veracity of the contacts data that is generated and collected from various sources and systems.



  • Data silos: She has to overcome the barriers and gaps that exist between different departments, functions, and teams that own, use, or share the contacts data.



  • Data culture: She has to foster a culture of data literacy, awareness, collaboration, and accountability among the organization's members.



  • Data change: She has to adapt to the changing needs, expectations, and preferences of the users and stakeholders of the contacts data.



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