Big Data

Big Data in the Commodity Markets

What is Big Data?

Big data refers to enormous amounts of data, characterised by larger volumes, greater variety and complexity, being produced at a higher velocity.

Volume.

Organizations collect data from a variety of sources, including business transactions, social media and information from sensor or machine-to-machine data. In the past, storing it would’ve been a problem – but new technologies (such as Hadoop) have eased the burden.

Velocity.

Data streams in at an unprecedented speed and must be dealt with in a timely manner. RFID tags, sensors and smart metering are driving the need to deal with torrents of data in near-real time.

Variety.

Data comes in all types of formats – from structured, numeric data in traditional databases to unstructured text documents, email, video, audio, stock ticker data and financial transactions.

The next frontier to drive innovation, competition and profits

The breadth and depth of services you would expect from the global leader in commodity data management delivered behind your firewall

What relevance does Big Data have to the Energy & Commodities Industry?

Regulation & Compliance
Trading surveillance, fraud management, data lakes for comprehensive analysis, regulation/compliance audits

Trading Analytics
Predictive Analytics, Pre-Trade Decision Support Analytics, including sentiment and temporal/ bi-temporal analytics

Market Risk
On-demand Risk Management, predictive indicators, exposure simulations

Customer Analytics
Increase customer acquisition, decrease churn, increase revenue per customer, decrease aquisition cost

Predictive Asset Analytics
Optimise equipment reliability, Predictive asset maintenance, Reduce maintenance costs, Improved Staff Planning

A selection of our clients that benefit each day from our solutions

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