Anonymous Fintech Client

Posted by Encora on Aug 16, 2021 4:44:00 PM

Encora developed and implemented a plan, the Distributed Computer Project, to rearchitect the client’s data environment to improve daily data loading time and accelerate response time to production errors.

Topics: FinTech

Industry Context

Over the last five years, the wealth management industry has witnessed an increasing necessity for real-time data to keep their organizations, clients, and partners competitive. As data increases in volume and complexity, however, it becomes more challenging to mine and manage. 

Leading asset management and investment firms have been turning to data management and analytics tools and platforms to help them make better supported and quicker investment decisions. 

Asset management firms that are applying advanced data management and analytics techniques across the full value chain (from asset acquisition to investment management and asset administration) capture the attention of investors who are searching for a more personalized, competitive service. 

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Client Challenge

The client was relying on legacy architecture, a complex data warehouse system, suboptimzed for performance. Slow data processing caused a delayed response to production errors, negatively impacting data analysis and overall operations.   

They needed to rebuild the data workloads and improve their daily data loading time because they required faster access to valid data to make time-sensitive and strategic decisions.  

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Encora’s Approach

Encora developed and implemented a plan, the Distributed Computer Project, to rearchitect the client’s data environment to improve daily data loading time and accelerate response time to production errors.

  • Envision: Encora used collaborative innovation ideation to identify the right architecture to rebuild the data workloads supported by the initial data warehouse project. For quick clarification to user questions and faster problem solving, Encora proposed sustainable approaches to improve the query speed 
  • Enable: The new architecture drew upon tools from Encora’s big data services. Visualization tools like Power BI, which currently extracts data from SSAS enabled the improvement of query speed
  • Engineer: Encora’s product engineering & development contributed to developing a minimum viable product, one that covers core functionalities for urgent use cases and scales to enterprise-class solutions as needed
  • Engage: The client collaborated with Encora in data science & analytics to extract and analyze data to drive informed, time-sensitive decisions
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Results

One of the most considerable improvements the Encora team accomplished was reducing data loading times from five hours per day to one hour. This improvement allows the firm to attract the attention of new investors and offer their clients personalized, faster access to valuable information.

The Distributed Computer Project has sped up time-sensitive, strategic investment decisions, preparing the client to compete in an evolving, fast-paced, data-driven wealth management landscape. 

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Processing Speed

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Issue Resolution Time