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Web Data Automation Case Study
A European Commodity Intelligence Service Provider.
Our client aimed to leverage data intelligence and robotic process automation to collect European gas data from over 122 websites and prepare reports which bring liquidity and transparency to the markets.
Using data intelligence, the client was able to obtain valuable market insights, compare output to demand, and anticipate market changes.
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Frequent site changes and site blocking, as well as human data modification requests relating to the GB and capacity upgrades, are two major obstacles for automating European gas data collecting for reporting on market liquidity and transparency.
We implemented a successful data aggregation solution with the help of cutting-edge automated techniques in order to overcome challenges and meet the needs of our clients. Here’s how we achieved it:
● Effortless Data Aggregation: Utilized sophisticated ways to gather precise data on gas flow, LNG, demand, storage, and production that was published on TSO, SSO, and LSO websites across Europe. We also kept an eye on the “Gas Outages” maintenance information from the list of operator websites that the customer had provided.
● Data Integration & Normalization: This process involves gathering data from various sources, including pipeline and LNG physical flows by entry point, gas flow data by entry/exit point, country, amounts (both in m3 and MWh), and injection/withdrawal capacity. The collected data is then transformed into a unified format compatible with more flexible downstream systems.
● Smooth API Delivery: Secured API-based delivery made it simple for our client’s system to integrate data on gas flow, production, and demand, providing real-time access to insights and updates.
● Automated Data Delivery: Hourly deliveries of the compiled data allowed the client to see gas flows, LNG, storage, production, and demand across several European nations.
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