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Advanced Logic Analytics Discusses Proposals for Compliance and Trading

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Advanced Logic Analytics (ALA) plans to meet the data management requirements of regulatory compliance and the trading need for predictive, behavioural and emotional analytics with OneLogic, an analytics platform designed to process and analyse structured and unstructured data big data in real time.

We caught up with ALA managing director, Nick Ellis, just a week after the company came to market to find out more about its development, technologies and marketing strategy. Ellis explains: “In 2015, Pim Dale [now the CEO of ALA] and I noted the growing need to manage unstructured data and decided to create a big data analytics company in the financial sector. We met academics at University College London who had been working on unstructured data for 10 years and had developed an algo based solution that could manage traditional data feeds as well as unstructured data and deliver a daily feed on sentiment in the equities market.”

Working with these academics and others at the University of Kaiser Lautern – and with funding from the government Enterprise Investment Scheme, the company’s founders and other private investors – ALA spent 2016 on research and development before introducing OneLogic to the market.

The platform works with enterprise data frameworks such as Apache Hadoop and the HP Vertica data warehouse and is based on Cisco infrastructure with a visualisation layer provided by Tableau. It allows firms to mine and process massive amounts of structured and unstructured data from any source, and includes several big data and financial analytics solutions including not only pre-emptive, descriptive and predictive analytics, but also behavioural, sentiment and emotional analytics that can capture market indicators in any language and jurisdiction.

Ellis says OneLogic can be used for both data management for regulatory compliance and to predict market movement based on sentiment, emotion or behaviour. The company’s first compliance offer covers Markets in Financial Instruments Directive II (MiFID II) and differentiates in its ability to include unstructured data such as Tweets and mobile voice data. A Basel III solution is in the making. He comments: “We have two sets of prospects, data managers in the compliance space and trading firms, particularly hedge funds.”

The company is talking to potential users of OneLogic and running proofs of concept. It expects to sign up two or three customers in the first quarter of this year and will initially concentrate on the London market, from where it will also serve New York City.

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