• 5 min read
• Published on 25 July 2025
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View the full Basket:Data Chaos
Let’s be honest, we’re all drowning. Not in water, but in something far more pervasive, data. Every time you tap your phone, order a takeaway, or even just walk down a street with CCTV, you’re creating a tiny digital breadcrumb. Now, multiply that by eight billion people. The result is a digital storm of almost unimaginable scale, a chaotic mess of information that, on its own, is utterly useless.
To me, this isn't a tech problem. It's a fundamental infrastructure challenge, much like the Victorians faced when they realised their sprawling cities needed proper sewers and clean water. Raw data is the digital equivalent of sewage. It’s messy, it’s everywhere, and it’s a huge problem until someone clever builds the systems to manage it. The companies building this new digital plumbing, the ones turning chaos into clarity, are sitting on what I think could be one of the most compelling long term stories in the market today.
View the full Basket:Data Chaos
You can’t move for headlines about Artificial Intelligence these days. It’s the new gold rush, and everyone wants a piece. But here’s the grubby little secret, AI is nothing without data. It’s like a genius chef with an empty pantry. Every single AI model, from the one that answers your silly questions to the one that might one day drive your car, is ravenously hungry for organised, accessible information.
This is where the real work happens. Companies like Snowflake are creating vast, cloud based warehouses where businesses can dump all their disparate data and make sense of it. Others, like MongoDB, have built databases designed for the messy, unstructured information that defines the modern internet. And then you have firms like Datadog, which act as the security guards, watching over these complex systems to make sure they don’t fall over or get broken into. It’s not glamorous work, but it’s utterly essential. Without these platforms, the entire AI revolution would grind to a halt.
View the full Basket:Data Chaos
View the full Basket:Data Chaos
View the full Basket:Data Chaos
View the full Basket:Data Chaos
View the full Basket:Data Chaos
View the full Basket:Data Chaos
Of course, the technology behemoths, your Amazons, Microsofts, and Googles, are the big landlords in this new digital world. They own the enormous cloud infrastructure where most of this data lives. They provide the raw computing power and storage, and they are formidable players. But their sheer size creates gaps in the market.
This allows more focused companies to thrive by doing one thing exceptionally well. They build specialised tools that sit on top of the giants' platforms, creating a symbiotic relationship. However, let’s not get carried away. This is not a risk free bet. Technology moves at a blistering pace, and today’s market leader could easily be tomorrow’s forgotten relic if it fails to innovate. Competition is savage, and the ever present threat of government regulation looms large, as politicians grapple with privacy and data ownership. Investing here requires a strong stomach and an appreciation for the complexities. One way to approach this is by looking at a collection of companies that represent different parts of the ecosystem, such as the Data Management Basket. This approach acknowledges that picking a single winner is difficult, but the underlying trend itself seems powerful. The key, as always, is understanding that potential rewards rarely come without significant risk.
This article is marketing material and should not be construed as investment advice. No information set out in this article be considered, as advice, recommendation, offer, or a solicitation, to buy or sell any financial product, nor is it financial, investment, or trading advice. Any references to specific financial product or investment strategy are for illustrative / educational purposes only and subject to change without notice. It is the investor’s responsibility to evaluate any prospective investment, assess their own financial situation, and seek independent professional advice. Past performance is not indicative of future results. Please refer to our Risk Disclosure.
View the full Basket:Data Chaos
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