Data Warehousing, BI, Big Data & Data Science for Data Management Professionals

This webinar highlights the critical roles that data professionals play in Business Intelligence (BI) and Big Data analysis, emphasizing the importance of optimizing analytical techniques and fostering a data-driven organizational culture. Howard Diesel addresses the significance of data warehousing and its integration with AI for effective business decision support, while examining the evolving landscape of data management and its impact on innovation. Additionally, the webinar explores the relationship between statistical modelling and machine learning, focusing on the deployment, monitoring, and management of machine learning models. By understanding data governance, the implications of synthetic data, and the relevance of ontology in data mapping, organizations can enhance their analytical capabilities in various sectors, including healthcare and smart cities. Find our training offerings here: https://modelwaresystemsse.wixsite.com/cdmp-certification Please join our Meetup Group to be notified of upcoming webinars: https://www.meetup.com/DAMA-SA-Data-Management-Meetup/ Connect with us on LinkedIn to avoid missing any upcoming events! Howard Diesel LinkedIn: https://www.linkedin.com/in/howarddiesel-cdmp-dmbok-modelwaresystems/ Modelware Systems LinkedIn: https://www.linkedin.com/company/modelware-systems Join our Data management community here: https://the-data-hive.mn.co/share/w_sdmogS6w4tKJo4?utm_source=manual OR Email Debbie: [email protected] 00:00:00 Data Professionals in Business Intelligence and Big Data Analysis 00:03:26 Role of Analytics in Business Intelligence 00:05:53 Optimizing Data Analysis Techniques 00:08:06 Addressing Data-Disability in Organizational Culture 00:09:39 The Transition to Data-Driven Thinking 00:12:56 Understanding Data Warehousing and Big Data 00:14:49 Data Warehousing and AI in Business Decision Support 00:19:22 Common Aspects of Data Management and Business Innovation 00:20:26 Understanding the Differences of Data Warehousing and Big Data 00:24:05 The BI Process and its Importance in Business Performance Measurement 00:26:22 Evolution and Impact of Data Warehouse Models 00:29:26 Understanding the Dynamics of Data Warehousing and Integration 00:34:44 Data Science and AI 00:38:24 The Implications of Synthetic Data in Machine Learning 00:41:21 Data Sources and Data Governance in Business 00:42:57 Statistical Models and Data Integration in Data Analysis 00:44:53 The Intersection of Statistical Modeling and Machine Learning 00:46:52 Monitoring Machine Learning Models in Data Management 00:48:41 Data Deployment and Monitoring in Data Warehousing and Machine Learning 00:49:55 The Importance of Ontology in Data Mapping and Integration 00:56:01 Data Management and Analysis in Healthcare and Smart Cities 01:03:08 Managing Machine Learning Models in Changing Data Scenarios 01:06:08 Feature and Dimension Reduction in Model Building African Data Management Community 2024-12-05 #DataWarehousingBusinessIntelligence #BigDataAndDataScience