Banking Revolution and Customizable Data Analytics

Bank Data Analytics Platform

The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.

Finance

Web and mobile development

Data Engineering

Finance

Web and mobile development

Data Engineering

system integrations

CX boost

About the client

Financial services and consulting company with operations in South Africa, the UK, and the USA

Tech stack

Pandas

PostqreSQL

DRF

ReactJS

AWS

The client's needs

Challenges & solutions

Challenge

Build an interactive B2B web application with custom dashboards and analytics features.

Solution

Web-native development from scratch with a design framed within the Client's existing website and UI/UX front-end to facilitate queries, algorithms and visualisations.

Challenge

Develop a system that interrogates various sets of financial data, calling up time series.

Solution

High-loaded AI scraping algorithms to generate a real-time database of financial bank data from various open source websites and financial institutions.

Challenge

Empower application development with AI functionality.

Solution

The developed system has calculations capacity that enable users to run algorithms on the data, such as comparing, rebasing, etc. and presenting data graphically and/or downloading it in PDFs.

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Luxury Retailer AI Demand Forecasting Implementation

Results

Bank Data Analytics Platform first slider image

Bank Data Analytics Platform second slider image

They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.

Stuart Theobald

Chairman Intellidex, Financial Services and Consulting company

Steps of providing web applications services

Step 1 of 7

Web development discovery

In the initial stage of the web-based development project, professional business analysts make detailed documentation of the project requirements and the approximate structure of the future web application. DATAFOREST is a custom web application development agency, guided by extensive experience in multiple industries. We give you detailed project documentation and then assemble the team according to your time and budget.

Step 2 of 7

UX and UI design

Based on your wishes, the needs of your target audience, and the best web application design and development practices, our UX and UI experts create an aesthetically pleasing and user-friendly interface for your app to satisfy even the most demanding users.

Step 3 of 7

Web-based application development

At DATAFOREST we are following the best programming design principles and approaches. Being a data engineering company, we build high load platforms, with a significant level of flexibility and result orientation. We keep our deadlines and follow SOC 2 compliance requirements.

Step 4 of 7

Integration

With DATAFOREST, integrating the application into your business won’t stop your processes for a minute. We provide seamless integration with your software infrastructure and ensure smooth operation in no time.

Step 5 of 7

Quality assurance

We use a multi-level quality assurance system to avoid any unforeseen issues. Working with DATAFOREST, you can be confident that your web app development service solutions arrive to the market polished and in full compliance with all certification requirements.

Step 6 of 7

24/7 support

Once a product is released to the market, it’s crucial to keep it running smoothly. That’s why our experts provide several models of post-release support to ensure application uptime and stable workflows, increasing user satisfaction.

Step 7 of 7

Web app continuous improvement

Every truly high-quality software product has to constantly evolve to keep up with the times. We understand this, and therefore we provide services for updating and refining our software, as well as introducing new features to meet the growing needs of your business and target audience.

Success stories

Check out a few case studies that show why DATAFOREST will meet your business needs.

All Success Stories

Financial Intermediation Platform

The project aims to develop a deal origination platform for private equity investments in infrastructure-related sectors and involves building a secure, interactive B2B platform from scratch, with sign-up functionality to connect investment firms to proprietary investment opportunities. DATAFOREST built a highly-loaded platform and applied AI functionality to empower the application's development.

98%

model accuracy

100%

timely development

Enrico Cattabiani

Founder & CEO IDN, Infrastructure Deals Network

View case study

Financial Intermediation Platform preview

They understood our requirements, translated into actions rapidly, and adapted to requests easily.

Mailing Platform

We created a mailing platform that helps a multi-faceted union to send information about events, opportunities, and grants to all its member companies. The platform stores information about all member companies and makes it easy to send messages to the right people at the right time. This helps member companies to stay informed and improves the union's ability to support the country's businesses.

15%

CX boost

20%

cost optimization

Gonzalo Ramos

Partner Trade Union

View case study

DATAFOREST is reliable in delivering quality solutions. Besides, they demonstrate effective project management and communication despite working remotely.

AI Web Platform for Data-Driven E-commerce Decisions

Dropship.io is a powerful data intelligence platform that helps e-commerce businesses identify profitable products, analyze market trends, and optimize sales strategies. Using large-scale data scraping, AI-driven insights, data enrichment solutions, integrations with Shopify, Meta, and Stripe, it enables smarter product decisions and drives revenue growth.

3M+

total unique users

600M+

products monitored

Josef Ganim

Founder & CTO Dropship.io

View case study

AI-Powered E-commerce Platform: Data-Driven Case

Performance Optimization & Bottlenecks Elimination

The financial services company faced performance issues and bottlenecks on its financial platform and was looking for a DevOps partner to increase application performance, stability, and resilience, and reduce operational costs. DATAFOREST performed a technical audit of the current AWS infrastructure, created a bottleneck monitoring system, re-developed inefficient SQL queries and data pipelines, and implemented horizontal scaling and a microservice approach using Docker and Kubernetes.

1000%

performance boost

20%