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The client is a leading binary options broker headquartered in Australia. It provides a range of option types and various instruments for trading
The client lacked a single unified view of the data which could be used to derive actionable insights. The trader’s data, the trading information and the customer tickets were stored in siloed databases.
The client’s data was spread across disparate data sources such as MySQL, MongoDB and other platforms like Freshdesk. The client needed a system that could aggregate data across platforms and to slice and dice data with different reports.
Datamatics implemented a Business Intelligence (BI) solution for the client. The data from various sources was extracted, transformed and loaded (ETL) into an aggregate table by utilizing the latest big data technologies such as Hadoop, Hive, Spark, Nifi and Sqoop
Of the data as they were able to slice and dice reports by various parameters and dimensions
Which saved a lot of time for the business and also improved accuracy of reporting
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