The Certified Data & Analytics for Operations Professional/Manager (CDAOP)™/(CDAOM)™ certification program is a specialized and industry-recognized qualification designed for professionals who want to harness the power of data to enhance operational performance, decision-making, and strategic planning. In today’s competitive and technology-driven business environment, data is a vital asset—when collected, analyzed, and applied effectively, it can transform operational efficiency, reduce costs, and create sustainable competitive advantage. This program equips participants with the skills to manage data pipelines, analyze operational metrics, apply predictive analytics, and translate insights into actionable improvements across business functions.
Data and analytics in operations extend far beyond basic reporting—they involve leveraging advanced tools, statistical models, and visualization techniques to understand performance drivers, detect inefficiencies, and identify growth opportunities. Participants in this program will explore topics such as data governance, performance measurement frameworks, business intelligence platforms, process mining, and machine learning applications. The curriculum also addresses critical issues like data quality management, compliance with data protection regulations, and integrating analytics into decision-making workflows. By blending analytical expertise with operational knowledge, the (CDAOP)™/(CDAOM)™ certification prepares professionals to lead data-driven transformations that improve agility, resilience, and long-term success.
Whether building advanced KPI dashboards, implementing predictive maintenance analytics, or driving process improvements through real-time monitoring, graduates of the (CDAOP)™/(CDAOM)™ program will be equipped to transform raw data into strategic assets. The program develops leaders who can bridge the gap between analytics and execution, ensuring organizations achieve measurable operational excellence.
Certification Program Objectives:
Upon completing the Certified Data & Analytics for Operations Professional/Manager (CDAOP)™/(CDAOM)™ program, participants will be able to:
- Understand Data and Analytics Fundamentals for Operations: Learn core concepts in data management, analysis techniques, and operational metrics.
- Collect and Manage Operational Data: Implement systems to ensure accurate, timely, and relevant data capture.
- Apply Analytical Techniques: Use statistical tools, KPIs, and advanced analytics to measure and improve operational performance.
- Leverage Predictive and Prescriptive Analytics: Forecast trends, anticipate challenges, and recommend data-driven solutions.
- Visualize and Communicate Insights: Create dashboards, reports, and visualizations to support stakeholder decision-making.
- Integrate Analytics into Operational Strategies: Align analytics initiatives with organizational goals for continuous improvement.
Certification Eligibility Criteria:
To apply for certification from The Operations Management Institute (OMI), candidates must meet the following criteria:
- A Bachelor’s degree from a recognized institution
And/or
- 0–4.9 years’ relevant experience for Professional level (CDAOP), or 5+ years for Manager level (CDAOM).
Note: Applicants who do not hold a Bachelor’s degree but possess exceptional professional experience and hold significant positions within their organizations in a relevant field may also be considered for certification on a case-by-case basis, subject to the approval of the OMI evaluation committee.
Certifying Examination:
- To be certified as (CDAOP)™/(CDAOM)™, student should take up a 1.5 hours online exam conducted by OMI.
- The qualifying exam would consist of 50 multiple choice questions, testing core certification modules.
- Professionals with relevant experience and other qualifying criteria may be exempted from the examination.
Certification Modules:
- Module 1: Fundamentals of Data, Analytics, and Operations Metrics
- Module 2: Data Collection, Cleaning, and Management Techniques
- Module 3: Statistical Analysis, KPIs, and Performance Measurement
- Module 4: Predictive and Prescriptive Analytics for Operations
- Module 5: Data Visualization, Reporting, and Business Intelligence Tools
- Module 6: Embedding Analytics into Operations and Continuous Improvement Strategies
* The Certification Title and its modules are regularly reviewed, updated and may change in alignment with evolving industry needs and regulatory standards.
Who Should Do This Certification:
The (CDAOP)™/(CDAOM)™ certification is ideal for professionals who leverage data to drive operational decisions and performance improvement. It is particularly beneficial for:
- Operations Analysts and Managers: Professionals responsible for monitoring, evaluating, and improving operational processes.
- Data Analysts and Business Intelligence Specialists: Experts seeking to specialize in operational analytics.
- Process Improvement Specialists: Professionals aiming to identify inefficiencies through data-driven methods.
- Supply Chain and Logistics Managers: Leaders who rely on data to optimize demand planning, inventory control, and distribution.
- Project and Program Managers: Those integrating analytics into operational execution and performance tracking.
- IT and Systems Professionals: Individuals supporting analytics platforms, data pipelines, and reporting systems.
- Entrepreneurs and Business Owners: Decision-makers who want to make informed operational choices based on data insights.
- Consultants and Advisors: Professionals advising organizations on operational efficiency and performance improvement.
Key Benefits of CDAOP / CDAOM Certification:
- Professional Recognition – Positions you as an expert in applying data analytics to improve operations.
- Career Growth – Opens pathways to roles such as Operations Analytics Manager, BI Director, or Data Strategy Lead.
- Global Relevance – Applicable across industries, from manufacturing and logistics to finance, healthcare, and technology.
- Practical Learning – Focus on real-world analytics projects, from dashboard creation to predictive modeling.
- Professional Network – Connect with a global community of data, analytics, and operations experts.
- Measurable Impact – Achieve improved decision-making, reduced operational costs, and enhanced process efficiency.
- Best Practice Alignment – Based on international data analytics and operations management standards.
This certification is applicable across industries including manufacturing, logistics, retail, healthcare, finance, and technology. Whether the goal is to improve efficiency, reduce costs, or enhance decision-making capabilities, the (CDAOP)™/(CDAOM)™ program provides the tools, frameworks, and practical skills to integrate data and analytics into operations effectively.
