Government

Training Courses, Workshops and Seminars

Next Level Women: Elevating Experts

2024-08-25T01:30:08+00:00February 20th, 2023|Tags: , |

Next Level Women: Elevating Experts is a leadership training program designed to equip talented experts with the tools and feedback to be able to open up the same breadth of opportunity as enjoyed by their male counterparts. This training provides high-impact skills development and tracks behaviour change to actually measure improvement.

Data Governance I

2022-09-16T07:27:02+00:00May 8th, 2019|Tags: , , , |

This two day course provides an informed, realistic and comprehensive foundation for establishing best practice data governance in your organisation. Suitable for every level from CDO to executive to data steward, this highly practical course will equip you with the tools and strategies needed to successfully create and implement a data governance strategy and roadmap.

Data-Driven Decision-Making

2023-09-01T06:35:11+00:00December 1st, 2019|Tags: , , , |

The Data-Driven Decision-Making course is for executives and managers who want to leverage analytics to support their most vital decisions and enable better decision-making at the highest levels. It empowers senior executives with skills to make more effective use of data analytics. It covers contexts including strategic decision-making and shows attendees ways to use data to make better decisions. Attendees will learn how to receive, understand and make decisions from a range of analytics methods, including visualisation and dashboards. They will also be taught to work with analysts as effective customers.

Data Governance II

2022-09-16T07:41:39+00:00December 2nd, 2020|Tags: , , , |

This one day course builds on the foundation of Data Governance I, and dives deeper into selected areas that are designed to provide the most practical and real-world applications of data governance. It includes the change management journey to the “data-driven” organisation, and implications of the necessity of model governance in the context of data science, AI/ML initiatives and RPA/IPA .

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