This scenario, along with the rapid advancements in AI, has made data management and analysis vitally important. Tying your ...

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as ...

a set of requirements that rely on effective data management. When combined with robust data governance, organisations can improve their approach to various important tasks, from compliance and risk ...

Many banks have a typically top-down perspective on enterprise risk management (ERM). This approach underestimates the importance of data, the core bottom-up enabler for ERM, and compromises the ...

Improved decision making: High-quality data provides a solid basis for making strategic decisions. Leveraging accurate data to identify trends, forecast future outcomes, and develop effective business ...

Here are four steps for harmonizing your data and growing your business. For years, organizations have struggled to realize ...

Change Management Is About People And Processes ... As businesses increasingly rely on AI, the importance of ensuring data quality, security and compliance has never been greater.

predictive models and business analytics and then to understand how to build out a data programme and understand the importance of data management techniques [later]," she added.

Lagos State Deputy Governor, Dr. Kadri Obafemi Hamzat, has emphasized the importance ... underscored that data is the foundation of any society, adding that proper data management is a crucial ...