Divectors
About Divectors
Divectors is a custom software development and data services company. On average, our team members have over 11 years of experience in the industry. We help businesses make intelligent, data-driven decisions by making a sense out of large volumes of data they have and turning them into valuable insights. We specialize in data services, custom software development, and experience design.
Divectors offers end-to-end solutions from creating a concept, identifying requirements and UX design to implementation, testing, and support. Our team includes data architects, data analysts, BI, and big data developers, experienced SCRUM masters and project managers. On top of...Read more
Divectors is a custom software development and data services company. On average, our team members have over 11 years of experience in the industry. We help businesses make intelligent, data-driven decisions by making a sense out of large volumes of data they have and turning them into valuable insights. We specialize in data services, custom software development, and experience design.
Divectors offers end-to-end solutions from creating a concept, identifying requirements and UX design to implementation, testing, and support. Our team includes data architects, data analysts, BI, and big data developers, experienced SCRUM masters and project managers. On top of that, we’ve got software developers and experience designers.
Key Insights
Services & Focus
Industry Focus
Client Focus
Portfolio
Automated data exchange solution
Our client is a world’s leading disability advocacy organization.
As a requirement from the state, their goal was to eliminate manual data processing and provide secure automated data exchange with the state.
We have suggested to build a set of technological solutions to support its fiscal intermediary services (FIS). This included a set of XML, JSON and reporting interfaces between the organization’s internal technology systems and the entities of the state they operate in.
Another step was to replace a traditional manual workflow with automated systems and introduce centralized repository for the key business data entities and file exchange storage.
Results:
Manual data processing in terms of data received from state was decreased by 70%;
The file transfer was automated and data quality significantly improved.
To read a full case study, please visit Divectors website.
https://www.divectors.com/cases/automated-data-exchange/
Building a reliable and scalable solution for real-time stock data processing.
Our client is a big player on stock exchange market. They approached us to help them build an ecosystem for market data processing.
The data had to be extracted, aggregated, notification rules applied and emails sent to the stakeholders. Another requirement was that the storage ecosystem/data processors had to be located in Azure Cloud.
Taking into account our customer’s requirement to avoid whenever possible custom code development, we have built streaming application based on Talend for Big Data in the scope of our work.
To read a full case study, please visit Divectors website.
https://www.divectors.com/cases/market-data-processing/
Building centralized data repositories to drive valuable insights from data
Our client, a global alliance of healthcare and technological companies built around the idea of digitizing different kinds of health data and utilizing AI to derive insights from that data, had a tremendous amount of data which was accumulated during a long period of time and was not concentrated in one location. The data was not utilized for business insights or decision-making purposes.
This created a need to build centralized data repositories to support data exploration and analytics workload, as well as data sources for other repositories.
Data Lake (DL) and Data Warehouse (DWH) were built as a pair of company-wide reference data repositories. DL used as a centralized storage of non-structured and semi-structured information, as well as the storage for “raw” structured data from individual products. DWH, in opposite, used as a repository of well-prepared, trusted datasets for data analysis and self-service analytics.
To read a full case study, please visit Divectors website.
https://www.divectors.com/cases/centralized-data-repositories/
Creating a centralized place for all the integrated data sources for a pharmaceutical company
Our client is a leading technology-enabled life science services company that simplifies how patients get on and stay on drug therapies.
After acquisition the company faced challenges with integrating data from various data sources. Due to the diversity of data, data analysis became difficult and time-consuming.
As a solution to the problem we proposed to design and implement Data Warehouse aimed to serve as central repository for all integrated data sources. Since customer required to gather data from diverse data sources like flat files and different databases, we had to define the approach for data integration
Structured and up-to-date key data co-location in cloud EDW
Separate cloud DB to load and store low value or inconsistent data for further review and analysis
Ability to review data load progress and track the process
PHI sensitive data de-identified
To read a full case study, please visit Divectors website.
https://www.divectors.com/cases/connective-rx/
A single tenant solution that allows running multiple studies simultaneously
Health decisions is a clinical trial management company that provides its services for running and maintaining clinical trials.
Divectors was commissioned to build a single-tenant solution that would allow running multiple studies at the same time.
The main challenge was that electronic data records had to be highly protected and isolated while each study had to support multiple environments where changes applied to the study could be developed, tested and approved.
We designed the system using .NET stack of technologies. The system consists of a web application and several services responsible for database and data management. We created separate dynamic language runtime (DLR) that allows writing custom equations within the system to manipulate data and change the structure of a trial based on the data entered.
As a result, now our client successfully runs multiple studies using their own platform.
To read a full case study, please visit Divectors website.
https://www.divectors.com/cases/health-decisions/
An intelligent way of handling communication between creditors and debtors
The Tool is a smartphone app and Web service that provides Debtors and Creditors with an easy, secure and engaging way to settle their debts.
Divectors was commissioned to design and build the mobile app for debtors and web application for the creditor companies that are intended to make the whole process of handling private debts easier by dealing with all the communication between the debtor and the creditor.
The solutions implemented by Divectors include:
Designing the intellectual system of credit calculator that helps users define the best offer in terms of user savings and high probability to get the deal with creditor;
? Designing the debts lifecycle from drafting to requesting the loan and receiving the answer;
? Outlining these flows for both creditors and debtors versions of the app;
? Introducing gamification elements by rewarding users for sharing the application with their friends. As a token of appreciation, users can get referrals that can be as credits.
Using React, React Native, .Net core and Firebase infrastructure has enabled us to speed up the development.
A lot of attention has been paid to monitoring and alerting functionality to guarantee that future application support teams will be well-informed about the current state of the application and will be able to respond quickly to issues that may occur.
To read more about the technical aspect of the case, please, visit:
https://www.divectors.com/cases/the-tool/(link is external)
You can find the follow-up to some UX aspects of the case here:
https://www.divectors.com/cases/creditors-debtors-tool/
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