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Publicly listed on BSE · ISO 27001 & SOC 2 Type II certified
Publicly listed on BSE · ISO 27001 & SOC 2 Type II certified
CASE STUDY
ReactJS
Redux Toolkit
TypeScript
Storybook
This data science app is a configurable SaaS-based platform that companies can buy and install to store and visualize data. The application allows companies to create huge custom databases for mailing lists, bills, invoices, CRMs, HR management, managing and sharing documents, etc., and use them for analytics in the future. Companies of any size can install this software to view data in beautiful graphical formats. Those tired of looking at boring data sheets can use this software to visualize raw data in color-coded graphs.
We had comprehensive knowledge of Data Structures and Algorithms (DSA). So, we knew the challenges and programmatic ways of translating backend data into front-end charts. We had thorough concepts of basic data structures like Arrays and Linked lists and advanced data structures like Disjoint Sets. So, the client trusted us with this project that needed handling massive and dynamic data sets for visualizations.
The client also asked us to add several cosmetic changes to the frontend dashboard. For example, we needed to custom-integrate new sliders, buttons, icons, grids, overlays, side scrolls, dropdowns, panels, clocks, event-based calendars, and other components.
Moreover, we needed to convert the existing JavaScript code into TypeScript to make the codebase error-free, reusable, and more secure. We needed to handle all of these and suggest improvements when required. We also had to do the app's unit testing to ensure the data stores reflected the visual story well.
Firstly, to build a robust interface, we implemented React.js. The best part about React is that it’s perfect for rendering data-driven UIs. React is lightweight, scalable, and easier to debug. Its declarative components help construct dynamic UXs - just what we needed. So, React was a preferred library in this case.
However, React alone wasn’t enough to handle all the data complexities. So, we used the Redux Toolkit (RTK) to manage the data stores. With RTK in place, we didn’t have to hand-write the data storage and fetching logic because RTK comes with add-ons that take care of it.
Next, we had to develop a vast ecosystem of UI elements like sliders, icons, buttons, scrolls, graphs, charts, calendars, etc. To this end, we used Storybook. Storybook is a configurable ecosystem of UI components, similar to a Bootstrap environment. So, we implemented Storybook’s ready-made UI environment to avoid fussing over APIs, code, or logic. Our experts also added documentation that future UI teams could refer to and rely upon.
In addition to all of these, we worked towards reducing bugs. So, we migrated the code from JavaScript (JS) to TypeScript (TS), which is known for its security. But, we moved files from JS to TS in small batches to ensure nothing broke in the migration process.
This project also needed the handling of multiple code repositories. It was, therefore, crucial to have the right repo management strategy in place. So, we used Lerna, which helped us package all code repositories into unified Monorepo for easier code maintenance.
Moreover, this project required us to embed custom controllers for backend-frontend data syncs. The controllers would be a glue between the Model (backend logic) and View (front-end dashboard). The controllers would help display visual elements on the front end as and when someone would add data in the backend. We had to be cautious at this stage to ensure the controllers kept data synced between the backend and the front end seamlessly.
Here’s a rundown of what we achieved:
Our custom controllers help reflect backend data on the frontend with 100% accuracy.
We improved the app’s security levels by moving all files from JavaScript to TypeScript.
Our data visualization components allow users to extract meaningful insights for informed decisions.
We demonstrated a sound idea of handling complex data strings in this project, and our client was pleased with it.
500+ client reviews reflect the engineering depth, responsive communication, transparent project management, and reliable delivery clients value.
Client Story"The workflow between our team and theirs was excellent."
Emily Nyaz
VP of Operations, Up Trending
"They were quick and efficient and their work was very good."
Bob Norberg
CMO, Cloud Age Solutions
"Their fast response was impressive."
Jorge Quintero
COO, Blue Lagoon Jets
"The workflow between our team and theirs was excellent."
Emily Nyaz
VP of Operations, Up Trending
"They were quick and efficient and their work was very good."
Bob Norberg
CMO, Cloud Age Solutions
"Their fast response was impressive."
Jorge Quintero
COO, Blue Lagoon Jets
Once done with everything, we checked for the code quality using ESLint. Our team also performed thorough unit testing for all UI components using Jest and Enzyme. After ensuring everything appeared as they were supposed to, we sent the product to the client. The client found no errors in our code quality and directly deployed the product in their chosen server with the help of their DevOps team.
We also, build the automation testing for the application to test it from end-to-end functionality using Cypress.
Our React-Redux engineering skills further helped us tackle all the complexities of this enormous data science app.
Companies can configure the parent settings of this app and enter new settings/workspaces with custom databases like CRMs, Portfolios, Reports, etc., to suit their needs.
We also created a history view that shows thumbnails of all the workspaces users previously opened.
With Jest and Enzyme, we could scrutinize every backend logic of the app individually and independently.
We also conducted end-to-end frontend testing using Cypress to ensure the visual structures look good.
We offered end-to-end consultations for dashboard design and all the integrations.
Our team communicated with the client for every code management and milestone work on Slack, Google Meet, and GitLab.
The client is delighted with what Capital Numbers delivered and how. Information visualization is handy now.
Impressed by our DSA knowledge, the client wants to stick around with us to enhance this data science app further with added implementations.
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We were founded in 2012.
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