Pulse
DIGITAL DATA DIFFUSIONDATA
You can't just shove data down the pipe for a variety of reasons. Firstly, you waste a lot of bandwidth and infrastructure because you are sending data you don't need to send. You don't have the ability to hyper-personalise. Data delivery is in high volume and real-time, but the needs of everyone are different.
During the data journey, the systems need to have the intelligence to pull the pieces that are appropriate to the end consumer without slowing it down or impeding the flow of data. To determine that we have optimised the journey every bit of the way with intelligence. We know what we're taking in when we consume it and it is formatted appropriately.
Ten, it goes through a transformation and this can be lots of different things. You can take an entire trading flow and just ask for the FX data in Deutschmarks, not dollars, yen or anything else. It knows what you want, but also understands that what Grethe wants is a completely different data flow - nor does she want repeated data so if the information hasn't changed, there is no reason for it to be sent again.
Tat realisation alone, which we call Delta Data, has special algorithms we've developed to avoid sending repeat data and saves 90 per cent of bandwidth in distributing data. Tere are a bunch of pieces to intelligence, it's non-trivial and I think it's the keys to the castle.
Andréa: Te world is in an interesting place at the moment because there are dual drivers between saving costs and expanding. Some customers are lucky enough to be expanding at the moment but most are struggling, not least in the UK. One of the things we can do is reduce the network bandwidth requirements by more than 90 per cent, saving significant costs.
What we have found is that companies get to a certain point where they need our technology to scale their business. Tis is a prevalent issue when delivering data. Clients can be successful insofar as the delivery mechanism at the edge is fine - around 23,000 connections - but as these scale and the data is replicated globally this requires more bandwidth. Tis is when they come to us.
Using DiffusionData allows them to expand in multiple directions - customers, markets, market lines. Tey use our solution to manage the data and only deliver the necessary data and save infrastructure costs. We have customer cases to show just how much money customers can save with us and that's why they are happy to pay for the software.
P74 WIRE / PULSE / INSIGHT / REPORTS
“What we have found is that companies get to a certain point where they need our technology to scale their business. This is a prevalent issue when delivering data. Clients can be successful insofar as the delivery
mechanism at the edge is fine - around 23,000 connections - but as these scale and the data is replicated globally this
requires more bandwidth. This is when they come to us. ” Andréa Skov
“Customers want something that is made for them. Our customers are using
DiffusionData's technology to offer a personalised
experience to their customers using multiple widgets, as opposed to a regimented website. That's what digital
transformation means for me in 2022. ”
Grethe Brown
What does digital transformation mean in 2022?
Andréa: It is generally accepted that digital transformation is getting data sent in large volumes fast to those who want to get it and giving the recipient exactly what they want. What we have determined is that this needs to be filtered and this is where the transformation piece comes in.
For a long time, people have been throwing the term digital transformation around and everyone understood the end state. What wasn't understood is the pieces of the journey that are required to successfully and cost effectively achieve the end state. I believe we have cracked that code and understand what needs to be done.
Grethe: Tis hyper-personalisation is crucial. Customers want something that is made for them. Our customers are using DiffusionData's technology to offer a personalised experience to their customers using multiple widgets, as opposed to a regimented website. Tat's what digital transformation means for me in 2022.
Globalisation means customers are wanting to replicate things in new markets. Tis requires different legislation which needs keeping in- hand. We can manage all of this with our intelligent data management.
Andréa: We have a data model called Topic Trees which essentially are outlines. If you look at a Topic Tree and use sports as an example. I live in California, and you live in New York. You want to see the Knicks and I don't care about them and wouldn't ever bet on them. Intelligence offers me betting odds on the Warriors, meaning I don't need to think about it.
Tis ability to transform is built into the data model and, crucially, if Grethe isn't interested in basketball she receives nothing at all. Tat's the beauty of having these data models to parse and transform.
You might also have added data, where you're adding player information should they achieve X in Y amount of time. I might want that information whereas no-one else does. Tis can be sliced and diced, sped up or slowed down. We control all the pieces of the data in that interim step of the digital transformation so that end users can have exactly what they want.
DiffusionData is already partnered with several high-profile operators such as Betfair, Sportingbet, 888 Holdings, Bettson, and recently penned a deal with Caesars. How are you looking to build on this platform within the gaming industry?
Andréa: Trough our footprint, the close relationship we have with the companies you've named, and by working on the cutting edge of something that can double or triple the revenue streams and opportunities available to operators.
Grethe: Te customers we have are using us more and more. Our annual recurring revenue increases with the current customer base and we already have a large number on the books. Tey like what they see as we support their growth and as they grow, we grow. Our aim is to double ARR next year.
Andréa: Business is booming, and we are having a wonderful time. Tere have been a lot of good choices made and it's very rare to have a company as aligned in its entirety as this one. We're enjoying the fruits of our labour and, ultimately, our customers are benefitting from it.
Grethe: What's not to like?
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