DataSwarm Analytic Engine
FINDING THE ZEITGEIST
BBC: Needed “to understand the Zeitgeist” – find the differences in tropes and themes between its news output and its competitors, in real time across all media output.
SOCIAL + ENTERPRISE DATA
Large UK Telecoms Provider: Combined social data and customer services data and tailored its service operations to optimise the service delivery for customer satisfaction and retention
INNOVATION & INSIGHT
Global Cosmetics Co: Identified Zeitgeists to understand the differences and similarities in future trends between markets enabling focussed product development.
SALES & MARKETING
Global drinks supplier: Located customer sub-groups to understand the cultures and requirements to optimise product advertising messaging by geography and media type.
Monitoring & Alerts
Receive alerts and specified data in real time about events, emerging trends, risks and issues e.g. for crisis management work.
Integration and monitoring data sources of large scale systems such as Smart City and Internet of Things applications
Using dynamic algorithms allows us to build self learning capability to improve analysis over time. We design bespoke client solutions for advanced business intelligence e.g. game theory based scenarios.
We have worked with major enterprises to use DataSwarm insights and analysis to help them predict emerging trends. We have also successfully tested the system on election prediction
The DataSwarm Analytic Engine (DAE) uses advanced analytics to create highly valuable intelligence across all areas of the value chain. Core technologies include use of dynamic algorithms, language processing and high speed data analytics.
The system was originally designed to solve the problem of finding and sequencing tropes, trends and memes quickly and efficiently across vast quantities of media data, and can integrate social media, internal enterprise and "Internet of Things" datastreams. It is designed for flexibility and for example has been used for applications from front end social media analytics to back end customer service improvement, and from Influencer identification to election prediction.
The DAE is format independent, and so can work in most languages (human or machine).
Sales and Marketing
Expose deep industry trends and uncover sub-tribes. Build on memetic insights to develop campaigns with context. Crisis management applications in real time.
Pinpoint factors of customer satisfaction and discontent. Establish key drivers to predict defection and enhance customer retention.
HR & Internal communications
Highlight trending topics and trigger meaningful actions across the organisation. Build employee engagement and help with employee retention.
Product & Service Innovation
Detect and predict trends & tropes across all industries to identify product demands enabling focussed product development.
To learn more about the DataSwarm Analytic Engine and understand what it can do, and what we can do for you, follow the link
In the run up to the Christmas period two interesting twists appeared: The current Prime Minister, Theresa May, announced she would not lead the Tory party into the next election. The Opposition leader, Jeremy Corbyn, has continually pushed for a second election – and this week went all out – as an alternative to a[…]
In the last few weeks, the UK media has been full of talk about having a Second Referendum on Brexit. This interest in the last few weeks is mainly due to Parliament being in gridlock due to internal conflicts, and the view that one way out of this stasis is to turn the problem back[…]
We have been tracking Brexit (the British Exit of the EU) for about a year now using our DataSwarm systems, as a side project to test our system’s predictive analytical capabilities (we predicted the Brexit referendum correctly all those years ago, as well as quite a few other “surprise result” elections since – see here[…]
Dilbert and Data Analytics – we hope to remove some of the gobbledygook! We will be giving a workshop at the Agile in the City conference in Bristol this week, on using data analytics in lean and agile ecosystems. Lean and Agile are often used almost as synonyms, but they are not – they are[…]
It’s true, in the Information Technology section, for our social data analytics system, and we can’t really believe it when we look at the competition (over here), but there it is…. Dataswarm – memetic analysis of social media data DataSwarm Ltd The DataSwarm Analytic Engine uses a number of cutting edge mathematical approaches to analyse[…]
Above – system map of the US Election dataswarm in process. Trump is in front – this was at a time the mainstream US media and polling was saying Clinton was far in front, and we then knew an upset was very likely coming. Using our systems we have managed to predict 5 elections (strictly[…]
The election is over and done, and we have looked at our system’s predicted outcome vs the actual results. This was the first election that we’ve tried to predict that wasn’t a mainly two horse race, and also the smallest Twitter sample we’ve had by far both in volume and % of population represented (vs.[…]
Dataswarm memetic analysis of German Election We have been tracking the German election using social media since February, and 6.8 million tweets later we have some predictions. Our Data Analytics Engine (which had correctly predicted Brexit, the US Election and the latest British one against the polls’ opinions) is now predicting for Germany….well, pretty[…]
The end analytics in diagrams, evening of June 7th – as you can see, the Tories & Labour are very close according to the system and it pretty much got it. So the UK election results are now known, Tories have 318 seats but needed 326 for a majority of 1. The Tory eventual vote[…]
Diagram showing more Tory memes in the top right, the memetic “sweet spot” of relevance and influence, There is a far higher intersection between “Theresa” and “May” than between Hillary and Clinton, which reduces her memetic impact. It’s the day before the UK general election, and our system is showing that on Twitter at any[…]