'Data Ontology is the Future with Estie Boshoff' introduces data ontology, including notes on domains and taxonomies and an overview of ontologies and their applications in data analysis. It covers the challenges and advantages of ontology modelling and discusses the tools and skills required for data modelling and ontology. The importance of ontologies in data governance and knowledge discovery, along with the differences between property graphs and knowledge graphs, is also highlighted. Additionally, the use of Neo4j for data import and diagram building, transaction analysis, and risk assessment is discussed, along with the importance of data and knowledge graphs in data analysis.

‘Data Management Maturity Assessments for Data Citizens’ provides an overview of the importance of data management maturity assessments, readiness assessments, stakeholder involvement, and training to achieve business agility.

It emphasises the role of data citizens, semantics, data modelling, and the structure and benefits of enterprise data models. Additionally, the webinar covers data flows, lineage, and the data value chain and discusses different approaches to data storage and knowledge graphs. Finally, it highlights the challenges of implementing reference architectures and the significance of examples in understanding the processes.

'Data is not a 4-letter word with Lisel Engelbrecht' highlights the challenges, importance, and opportunities related to data organisation, consumption, analytics, and management. Challenges include disjointed concepts and data literacy, while importance lies in understanding and loving your data and leveraging it for business growth. Automation and data platforms can pose challenges; Executives must balance data management and analysis risks and rewards. Lastly, opportunities for career growth in data management abound, and those looking to monetise data skills should focus on self-service frameworks and value data.

The importance of data literacy and building data communities. Understanding the data literacy gap and how to close it. Overcoming challenges in data literacy and communication and measuring effectiveness.

Passive learning is challenging! This challenge is true for both the learner and the facilitator. Have you tried Active learning? This article provides more detail of the benefits of Active learning verse passive learning. Read more to learn about a Winning Learning Formula that drives End User Adoption.

Over the last five years, several organisations have reached out to me to assess the maturity of their Data Office. Each time I perform an assessment, I am curious as to what led to the request and the response to the results. In general, the results have been lower than I thought.

Four weeks into the Intralign Education Course: Writing Business Definitions, I am fascinated by he business terms classification, rules and its six friends