DataSwarm Analytic Engine

Predicting zeitgeists and trends - tracking perceptions and topics

Media: FINDING THE ZEITGEIST

BBC: Needed “to understand the Zeitgeist” – find the differences in tropes and topics between its news output and its competitors, in real time across all media output.

Stock Markets: Real Time Alerts

Capable of understanding and predicting people’s intentions such as stock price tracking, spotting language shifts and predicting election outcomes.  

Innovation: Predicting trends

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

MARKETING insights: intentions & cultures

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.

Smart Systems

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

Swarm Intelligence

Swarm intelligence, NLP and other advanced high speed data analytics enable us to design bespoke client solutions for advanced business intelligence e.g. game theory based scenarios.

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.

DataSwarm Markets brings you minute by minute stock market news powered by the DataSwarm Analytic Engine. Track market sentiment as it happens for the stocks you follow. Press the green button to sign up

About DataSwarm

Cutting edge analytics of today driving the enterprises of tomorrow
Applying social analytics end to end, from insight to prediction

The DataSwarm Analytic Engine (DAE) uses advanced analytics to create highly valuable intelligence across all areas of the value chain, across many sectors. Core technologies include dynamic algorithms and machine learning, 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. It was built to process vast quantities of data, and integrate social media, other media, internal enterprise and "Internet of Things" datastreams. It has proved very flexible and has been used for applications from front end customer insight to back end customer satisfcation, 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.

  • 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 Innovation

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

About Us

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Our Team

We have many years of experience in cutting edge social media data analytics, search engine optimisation, predictive analytics, system dynamics, simulation and associated technologies. Find out more
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Awards and Competitions

Finalist in the IET (Institute of Engineers and Technologists) Innovation Awards, we have joined the second IARPA (Intelligence Advanced Research Projects Activity) Geoforecasting Challenge which invests in tackling some of the most difficult challenges of the agencies and disciplines in the Intelligence Community (IC).
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Reports and Research

We are specialist consultants and data analysts. We combine data from our DataSwarm system with indepth research and create reports around any given topic. Check out our latest Retail Banking in a FinTech Age report, or find out how we successfully predicted the US, UK and French elections.
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In the News

We were recently quoted in the Observer regarding the Lyft IPO. More details regarding the Dataswarm tracking of Lyft and Uber IPOs can be found on our blog. We also speak regularly at conferences around the world.

Clients

Applications of DataSwarm technology

Sign up for our latest report, "Retail Banking in a FinTech Age" looking at how customer perception has different impacts on Challenger and Traditional banks - what the impacts of "perception lag" are, and what banks can do about it.

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