data strategy Data strategy: how to get started An effective data strategy starts with the business and its key drivers. These drivers should be translated into overarching goals (strategic imperatives), which can then be broken down into actionable steps (business objectives). Only after these steps have been identified should the decision be made on how technology and data
data strategy The only data maturity scale that matters It is decidedly useless to know that you score three out of five in data accessibility and cleanliness based on one scale or another. Such ranking tells you nothing about your ability to achieve your business goals with data, which is a core idea of such a lofty concept as
data strategy Data strategy: why should you care? The idea that has been around for so long and was marketed so badly is experiencing a renaissance. A number of shifting circumstances invite executives to completely rethink the role of data in the organisation. From a bureaucratic necessity you need to fulfil for the upcoming audit—to a major
data strategy Data strategy in your company’s hierarchy of needs Your shareholders and your boss have been mulling over the idea for some time, even though subconsciously. So you can really make their and your lives easier by putting it on the table. Shedding light onto something that has been lurking in the background trying to come through is very
large language models LLM fine-tuning roadmap 2024 As with many life endeavours, you will get a head-start by having crystal-clear understanding of why you are fine tuning. Any foundation model out there is already pretty smart. It has been trained on vast amounts of text and maybe all you need to do is to give it a
data products On data products I like the idea. It sounds like a zero to one story. An act of creation. Compared to (long-sight), meh, dashboards. As tricky as it might be to define it, I will give it a go. On one end of the spectrum, there is an idea that in our age,
