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Needl.ai Cuts Research Time by 42% for an Energy Trading Company

Needl.ai Cuts Research Time by 42% for an Energy Trading Company

February 1, 2024

Objectives

An energy trading company sought to streamline its research process to gain a competitive edge and capitalize on market opportunities. The research teams were tasked with analyzing data related to geopolitical issues, strikes, protests, demand-supply fluctuations, and changes in government policies. The goal was to automate time-consuming tasks, enhance data analysis, and generate actionable insights.

Needl.ai Cuts Research Time by 42% for an Energy Trading Company

Industry
Energy Trading
Team size
300+
Established in
2006
Headquarters
UAE

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Objectives

An energy trading company sought to streamline its research process to gain a competitive edge and capitalize on market opportunities. The research teams were tasked with analyzing data related to geopolitical issues, strikes, protests, demand-supply fluctuations, and changes in government policies. The goal was to automate time-consuming tasks, enhance data analysis, and generate actionable insights.

Challenges

The research analysts faced several challenges in their manual research process, including:

Time-consuming data collection: Analysts spent considerable time browsing through various sources, including news, announcements, and real-time information, to track trends and developments in the energy market.

Metadata mismanagement: Manually compiling data sources and extracting metadata proved to be an expensive and time-consuming process, especially for unstructured data sets.

Missed trading opportunities: Timely insights were crucial for identifying and capitalizing on energy trading opportunities. However, the manual review of extensive reports and tracking of diverse data sources was slow and inefficient.

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