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.
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.
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.
Regulation & Compliance
Trading surveillance, fraud management, data lakes for comprehensive analysis, regulation/compliance audits
Predictive Analytics, Pre-Trade Decision Support Analytics, including sentiment and temporal/ bi-temporal analytics
On-demand Risk Management, predictive indicators, exposure simulations
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