Dataswarm analytic engine

Finding the Zeitgeist, and more besides...


BBC: Needed “to understand the Zeitgeist” in real time across all media output in the UK and find the differences in memes and themes between its news output and the competitors.


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


Global Cosmetics Co: Identified Zeitgeists to understand the differences and similarities in future trends between markets enabling focussed product development.


Global drinks supplier: Located customer sub-groups to understand the cultures and requirements to optimise product advertising messaging by geography and media type. 

Real Time Monitoring

Receive alerts and specified data in real time about events, emerging trends, risks and issues e.g. for crisis management work.

Large Scale Systems

Integration and monitoring data sources of large scale systems such as Smart City and Internet of Things applications

Dynamic Intelligence

Using system dynamics 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.

Business Insights

We have worked with major enterprises to integrate the DataSwarm insights and analysis into their end to end value chain to achieve their strategic goals.

The DataSwarm Analytic Engine was originally designed to “find the Zeitgeist”– to search today’s swirling signals and patterns to see the shape of things to come. In finding the Zeitgeist we found the Engine was also capable of much more – not just standard data analytical applications but also solving more complex bespoke problems, from front end listening to back end customer service. If you would like to see a live video demonstration, click the button below

About DataSwarm

Cutting edge technology of today driving the agile business of tomorrow
Our solutions can be applied across the business value chain

The DataSwarm Analytic Engine (DAE) uses advanced analytics to create highly valuable business intelligence across all areas of the value chain. Core technologies include use of system dynamic methods, language processing, and high speed data analytics.

The system was originally designed to solve the problem of finding and sequencing trends and memes quickly and efficiently across vast quantities of media output, 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.

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.

  • Customer Experience

    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 Development

    Detect and predict trends & memes across all industries to identify product demands enabling focussed product development.

Dataswarm Team

The team has vast experience in cutting edge analytics and social data
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Janet Parkinson

Janet studied International Business and Modern Languages. She has worked in Social Media Analytics (BrandsEye) and marketing agency Quirk (now WPP), founded various companies in the social business space and for many years ran an international recruitment/HR agency.
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David Short

David studied Physics, Electronics and has an MSc in Data Communications. He has worked for many leading TV companies such as the BBC, NDS and Farncombe, focusing on security, content meta-data and system integration. He is a member of the IET and the IEEE.
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Alan Patrick

Alan studied Engineering and IT systems, and has lectured on simulation and systems dynamics. He has consulted for Deloitte and McKinsey, and worked at senior levels in Telecoms, Internet and Marketing businesses.
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Andy Wise

Andrew has many years experience as an entrepreneur in the new media space having founded a number of startup businesses, combined with a long track record in the design and development of complex IT systems. Andrew thrives on complexity and innovation, he is a strong communicator and an ideas incubator.


Applications of DataSwarm technology

We believe the best solutions require both algorithms and human expertise. Combining the DataSwarm Analytic Engine (DAE) with our deep consulting experience allows us to create solutions tailored to individual client requirements.

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