DataIQ Member’s briefing – Should data go after moonshots or low-hanging fruit?
On the day NASA launched Artemis with plans of establishing a permanent presence on the moon, DataIQ members discussed the pros and cons of aiming for moonshots or low-hanging fruit.
Do I have the right professional skills to thrive at the top level in my organisation?
At the recent DataIQ members meetup, discussions centred around whether people felt they had the right skills to thrive in the organisation. Members looked at how some simple changes can make a big difference to self-perception and confidence.
Hannah Lee, data scientist at Zurich Insurance, was the winner of the 2022 DataIQ Award for New talent or data apprentice. She joined DataIQ at a member’s event to describe her journey into the data industry and what it has taken to succeed early.
UK data industry diversity and inclusion progress has lost momentum
A recent report indicates that the progress made around diversity and inclusion in the UK for the data industry has either stalled or receded. New findings show that wage gaps have grown, and diversity decreases with seniority.
Only 1/5 of female students are looking at data professions
The benefits of a diverse workforce have been proven time and again, but improvements must continue to be made as new data shows only one in five female students are looking at data careers. Alex Roberts finds out what can be done.
DataIQ Members briefing: Attracting, nurturing and retaining talent – tips from the DataIQ 100
Over a quarter (27%) of the DataIQ 100 2022 edition say that the demanding market for data skills and difficulties in finding talent are a significant issue for their data plans. A variety of approaches are being adopted to resolve the problem, ranging from recruiting out of non-traditional backgrounds to providing ongoing skills development. This briefing lays out the common points identified from an analysis of this year’s Q&As.
DataIQ Member’s briefing – What do we do when bad data things happen to good data tech?
Despite best efforts and forward planning, problems arise in all shapes, sizes and seriousnesses within data. So, what do we do when bad data things happen to good data tech? DataIQ members came together to explore past experiences, how they were handled and what can be learnt from them to help other data leaders prepare for potential problems in the future.
Should businesses decentralise data to keep evolving?
It is widely accepted that for many business structures decentralisation is the way forward, but how far should a business decentralise to continue its evolution? In this article, DataIQ provides an overview of the three main decentralisation options and their pros and cons.
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