Case Study: LightPoint
Lightpoint financial technology is an accounting
platform that uses the latest software design and
infrastructure technologies to provide a comprehensive
solution for their clients. Their services include market
data services, security mater, portfolio management,
order management, trade execution, compliance
reconciliation and client reporting.
Key Insights
Due to LightPointʼs need for the latest technology, they faced a major challenge in revamping their systems. When they reached out to us at Xeltec, our key findings were:
- Lack of Mobile-Friendly services
- Manual customization
- Manual Set up for day to day operations (i.e Data entry)
- Systemed backed by WPF and WCF
- Technical debt (Unidentified functionality)
- Functional Debt (Scattered Information)
- Lack of set expectations
- No strategy
Problem Statement
LightPoint hired us for team augmentation services. They
believed in immediate solutions using quality resources and team augmentation was the ideal pick. We have excelled in
providing our clients with the best team augmentation services including highly skilled professionals to fulfil their specific business needs.
Legacy System Revamp
They wanted to revamp their legacy systems, which were backed by WPF and WCF that were only beneficial for windows.
Mobile Friendly Services
They lacked mobile friendly services since their systems were old but their customers were using leading technologies.
Seamless System Transition
They wanted their systems to be transitioned without disrupting their current operations.
Manual Customizations
At the time of customer/client onboarding they had to perform customizations manually.
Manual Operations
Their day to day operations were also done manually.
Frequent Code Deployments
Technical Debt Challenges
Their system was in technical debt, they provided us with 30% of the information and the rest we had to understand on our own.
Solution Approach
After recognizing the challenges, we decided to use the onion model to provide them with a streamlined solution. The process included:
System Discovery
Our first step was understanding the system layer by layer. We used reverse engineering to understand the high level systems, used infrastructure diagrams and data flow diagrams using event storming to map the user story and also used example mapping. All of this was done with the help of the Miro tool. Then we documented the system with the help of a domain expert who helped us identify the problems.
02
Modular Transition
As we developed our knowledgebase, our understanding of the system improved. To ensure that their operations werenʼt disturbed during transition, we used the modular approach to change their system. Using one module at a time, we updated and upgraded their system to new standards.
03
Strategic Alignment
During this step-by-step process we presented the client with a strategy on how to proceed further and took their approval at the start of each step. This helped us understand the system on a high level and present the client with realistic expectations and if there was any gap, we filled it through coding and proper documentation.
04
Mobile Enablement
During this process of gradual change we made their systems mobile friendly by enabling MDS (Market Data Services) to support multiple data collectors. They use the following data collectors: FACTSET, SixFiancials and Bloomberg.
Ongoing Support
Currently, our focus is on maintaining Lightpoint’s systems, scoping new features, developing enhancements, and supporting data-driven business decisions.
Final Results
With the help of the right tools and technologies, We helped upgrade LightPointʼs applications
- They were able to complete their
development process with the best cost-cutting
team augmentation services - Mobile friendly application and state of the art
systems - Complete automation of everyday operations and
customizations - Streamlining of systems led to increased
customer retention - There is an increase in the number of new users
- LightPoint is just steps away from getting to the
next engagement level with the stock markets
