Big Data is taking off in financial services markets as firms begin to pull together structured and unstructured data, and implement enterprise and risk apps dedicated to issues including finding alpha, managing conduct risk and analysing market sentiment.
The challenges and opportunities of Big Data were debated during a recent A-Team webinar entitled Practical Uses of Big Data in Data Management. The webinar was moderated by Andrew Delaney, chief content officer at A-Team Group, and joined by experts James Lowry, head of global exchange EMEA, State Street; Adam Baron, director, Big Data quantitative research, Starmine, Thomson Reuters; and Stuart Grant, risk & compliance solutions manager, capital markets, SAP.
The panel participants said the challenges of using Big Data include building suitable data architecture, reconciling disparate data sources, adding unstructured data to structured data and finding a data innovator to lead Big Data initiatives.
Considering the opportunities of Big Data, they noted its potential for predictive analytics, conduct risk, trading surveillance, market sentiment analysis, pre-trade analytics and managing customer data to offer customers the best products to suit their needs.
To find out more about:
- Practical uses of Big Data
- Data management challenges
- Building Big Data platforms
- Future developments
Listen to the A-Team webinar here.
