Data Symposium
2 Ngaire Ave, Epsom, Auckland
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This November we are launching the Data Symposium focusing on 6 topics:
• Data Governance
• Chat GPT and Machine Learning
• Self Service and Microsoft Fabric
• Master Data
• Change Management
• Cloud Technologies for the next 5 years
Each session will be facilitated by an industry expert, who will get the attendees to drill into what is happening today in our New Zealand data communities.
We really want to focus on New Zealand pushing to be at the forefront of the data age
As an attendee, you will go to the 2 streams that matter to you the most, though ideally it would be good to spread the attendees out, so we will be trying to align you to a “stream” in advance that you want to go to. In each stream we will be doing:
• Maturity Matrix – A great way of understand where you are compared to the market and other industries across key metrics. In the Current State, 12 months and 3 years projections. These sessions are:
• Repeatable (so can be done every 6 months or so back at your organisation)
• Identifies key goals and initiatives – These come up in the session as the conversation is facilitated
• Prioritise the areas of focus – We can identify where the areas are that are most in need of maturing or will give the best bang for the buck
• Tactics – We will also then be focusing on the tactics that organisations have implemented, looking to implement, or would like to test with the attendees. We are looking to discover together what tactics will be able to be worked on to mature the New Zealand data industry as a whole and how as a nation we can differentiate ourselves from the world.
• Challenges – Also, we will be digging into the challenges that organisations in attendance have experienced and what allowed them to overcome these.
• Specific workshop actions – For each of the 6 areas, we will also have a couple of specific actions that we will be doing in the workshop stream that will be focused on those 6 in particular.
Symposium Value:
• Workshopping ideas and tactics together with your data peers
• Getting a perspective on where the data industry as a whole is
• Get to talk to people who are doing these things well in the market
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