Executive Development Programme in AR Data Management
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⢠Introduction to AR Data Management: Understanding the basics of Augmented Reality (AR) data management, its importance, and the role of an executive in this field.
⢠AR Data Collection Techniques: Exploring various data collection methods, such as sensor-based, marker-based, and markerless tracking, for AR applications.
⢠Data Processing and Analysis: Learning about data processing techniques, tools, and methods to analyze AR data for insights and decision-making.
⢠Data Security and Privacy: Ensuring the confidentiality, integrity, and availability of AR data, and understanding privacy concerns and regulations.
⢠AR Data Visualization: Presenting AR data in a visual format that is easy to understand and interpret, such as through 3D models, heatmaps, and charts.
⢠AR Data Integration: Integrating AR data with other enterprise data systems, such as CRM, ERP, and SCM, for a holistic view of the business.
⢠AR Data Governance: Establishing policies, procedures, and standards for AR data management, including data quality, metadata management, and data lineage.
⢠AR Data Analytics: Analyzing AR data to gain insights into user behavior, preferences, and trends, and using this information to improve AR applications and services.
⢠AR Data Strategy: Developing a strategic approach to AR data management, including data acquisition, storage, processing, analysis, visualization, integration, governance, and analytics.
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