Tag Archives: Digital Transformation

ASQ Raleigh Special Interest Group Meeting

Life Sciences SIG — March 2025

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Last Friday, fifteen people gathered at the NC Biotech Center, where Dr. Milton Krivokuca, an ASQ Fellow, led the discussion on integrating data science and quality to achieve organizational excellence.

After each attendee introduced themselves, Dr. Krivokuca shared his personal journey and decades of association with ASQ and its members. A key message was that connections created by ASQ could lead to new opportunities!

The first half of Dr. Krivokuca’s presentation was focused on the technical, social, personal, and managerial aspects of Quality 4.0 — how does technology enable the organization? Specifically, how do organizations achieve different levels of data/digital maturity? It’s certainly challenging for an organization to respond and adapt quickly to technological advancement while staying focused on its business, customers, and employees.

In addition to understanding what data science (or big data, machine learning, artificial intelligence, etc.) means, the discussion of digital transformation again pointed to organizational culture and how people respond to change.

The first breakout session had three key questions:

  • What are your perspectives of where the data scientist should reside in an organization?
  • Do these quality-data science concepts align with your organization’s digital transformation?
  • What next steps wold be most appropriate for your organization?

Three breakout groups shared their perspectives, for example

  • How to communicate change to employees and customers?
  • How to manage varying levels of digital maturity within the organization? Where do we start?
  • How to overcome the tendency of implementing technology in silos without considering the value stream?
  • What systems or governing structures do we need?

The second half of the presentation and breakout discussion moved into understanding data science and data scientists, making the connection between continuous learning (data science) and continuous improvement (quality).

A key question was “what’s the role of a data scientist?” The related questions are

  • What skills (technical and non-technical) are needed for successful transformation?
  • Which skills do quality professionals already have?
  • How should the organization be designed to develop data science capability?
  • How do Quality and IT organizations fit in the transformation?

The discussion could definitely use more time than scheduled. We look forward to more sessions on such topics. Let us know if you have any suggestions!

ASQ Raleigh Life Sciences Special Interest Group Meeting — March 21, 2025

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This event is free and open to the public. No ASQ membership is required. ASQ members will receive RU credit for attending.  Register here.

Title: Integrating Data Science and Quality to Achieve Organization Excellence: A Practical Plan for Success

Presenter: Milton Krivokuca DBA

Summary:

Critical Quality 4.0 Components of a Digital Transformation

Digital transformation is not an abstract or theoretical journey. Objectives cannot be effectively developed without first analyzing data to establish a baseline for digital transformation. Data science, various types of analytics, and the emergence of multiple data sources can be confusing and intimidating for leaders faced with another challenge of “Where do we begin?” This presentation examines the key critical Quality 4.0 focused components of data analysis. The distilling of information as it flows is a process. This workshop examines the development of a data analysis process with human intervention, integrated with the critical components of data science and quality as the basis for an effective digital transformation.

This two-hour workshop includes moderated breakout sessions.

Discussion sessions focus on assessing the current state of a digital transformation plan and how a plan is required for various types of organizations, including the integration of human factors as related to artificial intelligence.

Breakout discussions will evaluate the correlation between an effective data scientist and a skilled quality professional. The skills overlap required for this functional position in an organization addresses the question of would a data scientist be more effective through a foundation in quality or a foundation in IT?

Who Should Attend:

· Managers responsible for planning, implementing or managing an organization s digital transformation.

· Quality professionals who desire to expand their careers to include data science and how data science integrates with quality as organizational excellence.

· Data engineers and programmers will recognize the existing resources within an organization available to them within organizations that can support an effective digital transformation.

Agenda:

12:30 – 1:00 pm Registration and networking

1:00 – 1:20 pm Introduction

1:20 – 1:50 pm Break-out and review of results

1:50 – 2:00 pm Break

2:00 – 2:20 pm Continued presentation

2:20 – 2:40 pm Break-out discussion

2:40 – 3:00 pm Closure and Q&A

 

Milton Krivokuca DBA

Presenter Bio:

Dr. Milton Krivokuca, is the Interim Program Coordinator for the Master of Science Quality Assurance program at California State University Dominguez Hills, Carson, CA. He is a recognized Quality 4.0 thought leader. He has instructed master’s classes in critical thinking and quality theories at several universities. Dr. Krivokuca frequently presents results of his quality related research through papers and presentations. He is past chair of ASQ Quality Management Division, an ASQ Fellow, ASQ 2024 Grant Award recipient, ASQ Section 700 Simon Collier Award recipient, ASQ Section 701 Quality Guru of the Year Award, and Quality Magazine’s 2024 Quality Professional of the Year. Dr. Krivokuca’s degrees include an MA, MBA, and a DBA. He has earned 10 ASQ professional certifications.