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Customer & operational intelligence

The gap between what your customers are doing right now and what your systems know about it is costing you.

A recommendation engine that surfaces what a customer browsed last week. An inventory system updated once a day. An operational dashboard showing figures from this morning’s batch run. These are not edge cases, they are the norm in most organisations, and the gap they create between what is happening and what the business knows about it has a measurable cost: in revenue missed, in stock mismanaged, in decisions made on information that was already out of date.

Real-time customer and operational intelligence closes that gap. It is not about having faster technology for its own sake, it is about giving the people and systems that make decisions the information they need in the moment it is relevant. Dot Group builds the data pipelines and analytical platforms that make this kind of intelligence accessible and actionable, without requiring a complete infrastructure overhaul to get there.

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Abstract data pipeline visualisation showing flowing streams and analytics, representing pipeline modernisation

Real-time personalisation and customer intelligence

Customer personalisation built on historical data has a fundamental limitation: it tells you what a customer has done, not what they are doing.

We build real-time customer data pipelines using Confluent and IBM StreamSets that capture customer events as they happen – browsing, searching, transacting, abandoning – and make that data available to personalisation engines, recommendation systems, and customer service applications in real time.

Operational visibility that actually reflects operations

A logistics operation where the dashboard shows yesterday’s data is not really being managed – it is being reviewed. Stock levels that update overnight cannot respond to the spike in demand that happened at 2pm. A delivery network that reports exceptions by end of day has already missed the window to reroute.

We build event-driven data pipelines that capture operational events and feed them into analytics platforms where they are immediately visible and actionable.

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Illustration of a global data network with interconnected systems and icons, representing data estate consolidation

The analytical platform underneath it all

Real-time data is only useful if the platform receiving it can keep up. Traditional data warehouses and many cloud analytics platforms are optimised for large analytical queries on historical data. They struggle to handle the combination of continuous high-volume writes and complex simultaneous queries that operational intelligence requires.

SingleStore is purpose-built for this: a distributed SQL database that handles transactional and analytical operations simultaneously, delivering sub-second query performance on data that is being updated in real time.

The Dot Group Advantage

Retail, logistics, media, and financial services clients have come to Dot Group with the same fundamental challenge: they have data, and they have analytics, but the two are not talking to each other in real time. We build the architecture that connects them, and we deliver it in a way that works alongside what the organisation already has.

Our experience across sectors means we understand the specific operational patterns that matter in each one: the seasonal spikes in retail, the exception handling requirements in logistics, the compliance overlay in financial services.

Supply Chain Optimisation

Real-time customer and operational intelligence is closer than most organisations think. 

Show us your current setup and we will show you what would need to change, what it would cost, and what it would deliver.