Development Bird

Finance

Blog, Finance

Stock-Exchange

Case Study Stock Exchange A stock exchange in an emerging country, provides electronic trading platform, first of a kind in south asia. It has 296 companies representing 20 business sectors market capitalization of Rs. 3115.52 billion. The Problem The stock exchange’s primary challenge was implementing a scalable analytics solution that could support a large base of concurrent business users without compromising on speed or security. The IT department was overwhelmed by the volume of queries from various departments, as their existing reporting tool was difficult for non-tech-savvy users to navigate. Additionally, the solution needed to ensure the highest level of security due to the confidential financial information handled by the exchange. The Solution BIRD’s features, such as natural language processing (NLP) for report creation and auto-available drill-downs and filters, made it easy for business users to analyze data without relying on IT. This significantly reduced the IT department’s workload. BIRD also implemented stringent security measures down to the row level, ensuring the solution met the exchange’s rigorous security requirements in the financial domain. The Results Reduced dependency on the IT department for report creation, empowering business users to generate their own reports. Report generation time was reduced from 2 days to 2 weeks (depending on complexity) to anywhere between a second and an hour. BIRD’s scalable architecture can now support a very large number of concurrent users. Download

Blog, Finance

Banking

Case Study Banking The client is a publicly traded multinational banking and financial services corporation, recognized as a leading bank in their region, providing best-in-class solutions to its customers.   The Problem The bank uses multiple big data platforms to store their transactional data, which amounts to terabytes. The challenge the team faced was querying this vast data, as it took an extended amount of time to retrieve the necessary results. The team, part of the MIS department, handles numerous ad-hoc requests from business teams on an hourly basis, and they required faster query results with data visualizations. The bank’s data was stored across different systems, including HIVE, S3, and Impala, and they needed to mash up the data from these sources using a single query. The Solution BIRD provided a solution to reduce query times and ease the load on their big data servers. Using BIRD’s columnar database, the bank was able to process millions of data points in seconds, with visualizations layered on top. Additionally, BIRD facilitated data mash-ups from the HIVE, S3, and Impala source connectors. The Results The turnaround time between the IT and business teams was significantly reduced. The solution required less IT infrastructure, resulting in cost savings for the customer. The bank gained the ability to mash up data from multiple sources on the fly. The customer appreciated the usability of BIRD’s solution compared to some of their existing tools. Download

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