Industry: Financial Service Industry (FSI)
Solution: Paques Data Enterprise
Technical Use Case: Data Ingestion, Data Integration, Data Transformation
Kliring Penjaminan Efek Indonesia (KPEI) had been using Data Warehouse solution to support its function in providing regulated and efficient clearing services and transaction settlement guarantee in the Indonesian Capital Market. However, as the Indonesian capital market develops and grows, it is becoming apparent that Data Warehouse is no longer sufficient. KPEI needs a more advanced and suitable solution that will address the weaknesses of the past data processing system, such as inflexible data retrieval, inaccurate data preparation, inefficient data processing capacity, and inconveniently low scalability.
With an understanding that upgrading the Data Warehouse capacity will require a considerable cost and time, and at the same time there is an increasing urgency to implement a better data processing solution that can produce more cogent and timely reports, KPEI has picked the solutions provided by Paques Data Enterprise to address the current and future challenges of the Indonesian capital market. The confidence to pick Paques Data Enterprise is also due to its recent success in the capital market sector through partnership with Bursa Efek Indonesia (BEI), the parent company of KPEI.
Scalability, Adaptability and Reliability of Smart Data Lake Concept
Paques Data Enterprise adopts the smart data lake concept, with the capability to store and process massive data of any types (structured, unstructured, semi-structured) while having the competency that is comparable to any international big data companies. The Data Lake has the scalability, adaptability, and reliability that can enhance KPEI’s analytics capabilities. In a thorough and meticulous set of tests for data processing, using two use cases: Efek Tidak Dijamin (ETD) and Unusual Market Activity (UMA), Paques has demonstrated its ability to produce results that convinced KPEI to select Paques Data Enterprise as the better alternative to its existing Data Warehouse.
Embracing The Improved State of Data Processing
Data migration has been conducted gradually from KPEI’s Data Warehouse to the newly implemented Data Lake by Paques, as the process of Extract, Transform, Load (ETL) will also be shifted to Paques. The whole data processing is done in one platform and accentuates flexibility to support more accurate and well-timed reports. The implementation of Data Lake by Paques has ended concerns over data management and analytics, thus allowing KPEI to direct its resources for more complex cases such as the aforementioned ETD and UMA use cases. Paques Data Enterprise emphasizes flexibility, reliability, and accuracy in data processing to remarkably improve efficiency and deliver better performance.
