Transcription
Implementing Data Lake forFinancial Services ClientATTENTION. ALWAYS.
THE CUSTOMEROur client is a technology services provider to financial servicescompanies. They help their clients with core processing services.They specialize in providing software systems to commercial banks,credit unions and other financial institutions primarily in the UnitedStates.THE CHALLENGEThe client was in need of a centralized, more comprehensive,secure, fast and scalable database. They needed to process asmuch data as possible in lesser time and apply analytics to thegathered data to find useful information. They required a DataLake for all kinds of structured and unstructured data from varioussources.Lack of a unified data platform. Different Business Units havedifferent/proprietary data platform creating data silos.Customer data is split among multiple business units anddata platform, thus no centralized repository making itdifficult to apply analytics.Difficulty in getting actionable business insights fromaccumulated data.
Inability to derive insights from multiple data sources like CallCenter, CRM, log files and suchlike.Lack of a highly available, resilient and horizontally scalableplatform for data quality.Lack of APIs to expose analytics to other applications, toeasily search required data.Slow time-to-market of new features.THE SOLUTIONAspire came up with the solution of implementing a secure datalake platform for the client. This Data Lake shall be the platformunderpinning all analytical needs.The solution facilitated:Aspire implementeda secure Data Lakeplatform, providing acentralized repositoryof data irrespectiveof form or source.Data from all Business Units in a central data lake making iteasier to apply analytics to get insights to solve businesschallenges.Unified view of Customer data from multiple business unitsso that every stakeholder has the same view of data.Ability to perform comprehensive analytics based on data inData Lake.Highlights:Aspire implemented a secure Data Lake platform, providing acentralized repository of data irrespective of form or source.SqoopSparkHDFSImpalaREST/JSON.NET/C#
THE BENEFITSRegardless of increasing data flow and number of datachannels, client was able to store and process all data at afast pace in their true forms.Pathway to monetize the analytics/insights and data bysharing analytics through multiple channels.New data architecture allows for faster time-to-market ofnew features.Data security along with compliance maintenancearchitecture.Unified view of data throughout the organization led touniformity in decision making.Faster decision making with interactive analytics applied onData Lake.BEFORE & AFTERSITUATIONWithout any centralized repository, the client was unable toderive value from their data. After the implementation of Datalakes, all data that were flowing in silos till now were unified andready to be analyzed to get the best value.
Data from all Business Units in a central data lake making it easier to apply analytics to get insights to solve business challenges. Unified view of Customer data from multiple business units so that every stakeholder has the same view of data. Ability to perform comprehensive analytics based on data in Data Lake. The solution facilitated:
