DCT Helping Energy Trading Organizations Improve Profitability

Prices of energy commodities such as Power, Oil and Natural Gas tend to be highly volatile due to number of reasons. Mother nature, geopolitical events and unpredictable supply and demand can swing the energy prices by large percentage in a very quick timeframe. Currently Oil, Power and natural gas trading activities are grappling with lower prices due to COVID crisis and excessive supply, which means that traders are compelled to trade large volumes to make a small margin.

In most of the trading organizations, traders do not have real-time access to fundamental data to react to market conditions quicker and make profitable trades. Analysts still manually collect data from multiple sources and report to traders. This latency in getting visibility into trading fundamentals cause lost opportunities resulting in trading loss. In the current market conditions, it is quintessential to be able to run what-if scenarios and advanced predictive analytics on data to accurately forecast trading scenarios in various locations. etc.

Data Challenges

The recent explosion of data is not just in volume, but also in variety and velocity. Perhaps the biggest challenge facing energy trading companies is the difficulty in collecting all the data necessary and reporting on this data in real time. Business users spend a lot of time performing mundane tasks to resolve data issues.

Data challenges include: