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The CDAO Agenda: Strategy, Talent, and Governing the Data-Driven Transformation

Date: 14th & 15th February 2026 | Time: 9.00 am – 1:00 pm (IST) | Location: Online

Sample Abstract
Phone: 8977760443 Email: support@onegrasp.com

Overview:

This conference focuses on the evolving role of the Chief Data and Analytics Officer (CDAO) in leading data-driven transformation across enterprises. It covers strategic priorities such as developing analytics roadmaps, building and scaling data talent, and implementing governance frameworks that balance innovation with compliance. The event emphasizes aligning analytics with business goals, fostering a data culture, and ensuring ethical, transparent use of data and AI.

Structure and Sessions (Who Does What):

  • Organizing Committee: Develops event agenda, invites CDAOs, data leaders, and experts, and manages logistics.
  • Keynote Speakers: CDAOs, industry thought leaders, and governance experts share strategic insights and practical experiences.
  • Session Chairs: Facilitate session flow, manage Q&A, and encourage high participant engagement.
  • Presenters: CDAOs, analytics strategists, HR leaders, and policy makers present case studies, frameworks, and governance models.
  • Participants: Engage through workshops, panels, and networking.
  • Technical Review Committee: Reviews abstracts and papers for quality and relevance.

Participate and Contribute (Who Benefits):

  • Chief Data and Analytics Officers: Learn best practices for orchestrating enterprise-wide analytics initiatives.
  • Data Scientists and Analytics Teams: Understand governance, ethics, and talent development strategies.
  • CIOs, CFOs, and Business Leaders: Gain insights on leveraging analytics for competitive advantage and risk management.
  • HR and Talent Management Professionals: Explore approaches to attract and retain top analytics talent.
  • Academics and Researchers: Present research and publish in scholarly journals.

Benefits:

  • Certificate of Participation after providing event feedback.
  • Commemorative memento recognizing active engagement.
  • Abstracts and selected papers published in Scopus, CrossRef, Web of Science (WoS), Elsevier, and SCI-indexed journals.

Abstract Topics / Call for Papers (CFP) Tracks:

  • Developing and Executing a Data and Analytics Strategy
  • Building and Scaling Analytics Talent and Teams
  • Governance Models for Ethical AI and Data Use
  • Driving Cultural Change for Data-Driven Organizations
  • Aligning Analytics with Corporate Strategy and Performance
  • Risk, Privacy, and Compliance in Data Governance
  • Technology Architecture and Platforms for Enterprise Analytics
  • Case Studies on Successful Data Transformation Initiatives
  • Measuring ROI of Analytics and Data Programs
  • Future Trends in the CDAO Role and Analytics Leadership

Registration:

  • Online registration open to CDAOs, data leaders, business executives, HR professionals, researchers, and students.
  • Detailed submission criteria and deadlines provided for abstracts and papers.
  • Participation grants access to live sessions, recordings, conference materials, certification, and publication opportunities.

Detailed Program Grid (2 Half Days, 9 AM to 1 PM)

TimeDay 1Day 2
09:00 – 09:15Opening Ceremony & Welcome AddressRecap of Day 1 & Opening Keynote
09:15 – 10:00Keynote Session I: Crafting the Enterprise Analytics StrategyKeynote Session III: Scaling and Retaining Analytics Talent
10:00 – 10:45Technical Session I: Governance Frameworks for Data and AITechnical Session III: Driving Culture for Data-Driven Success
10:45 – 11:00Q&A and Networking BreakQ&A and Networking Break
11:00 – 11:45Technical Session II: Aligning Analytics with Business GoalsPanel Discussion: CDAO Challenges and Leadership Lessons
11:45 – 12:30Abstract Presentations and Case StudiesTechnical Session IV: Future of Analytics Leadership
12:30 – 13:00Participant Feedback and Closing RemarksClosing Ceremony & Certificate Distribution

This conference delivers strategic and operational insights for CDAOs tasked with leading transformation through data and analytics, complemented by certification and academic publishing opportunities.