Perspectives & insights
Views on data strategy, product thinking, AI and the realities of making it all work. No hype.
From the nineties' data warehouse wars to today's generative AI gold rush, organizations routinely fail when chasing technology hype. The select few that succeed do so by treating data as a product.
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From the nineties' data warehouse wars to today's generative AI gold rush, organizations routinely fail when chasing technology hype. The select few that succeed do so by treating data as a product.
Most organisations are deploying AI faster than they're understanding it. The risk isn't just technical - it's strategic. Here's how to build the literacy your leadership team actually needs.
Software PMs and data PMs share a toolkit, but the challenges differ in important ways. We unpack what makes data product management a discipline worth investing in specifically.
The gap between a well-crafted business strategy and the work people actually do is where transformation programmes die. Here's how bi-directional strategy alignment can close it.
Organisations that treated GDPR as a box-ticking exercise are now scrambling on AI governance. Those who embedded ethical thinking early are in a far stronger position. Here's the lesson.
Government entities that treat open data as a compliance exercise miss the potential. We look at how forward-thinking organisations are realising economic and social value from what they publish.
The communication gap between data experts and business colleagues costs organisations more than bad data does. Here's how to close it from both sides.
You don't need a data lake or a team of 20 to make data work for you. For SMEs and start-ups, the first steps are often simpler- and more impactful than you think.