Financial Data Analysis
App Development

We build complex, high-load financial data analysis software solutions. Let us create yours.

How to build a decision-making financial data analytics software

9 years
Of creating fintech solutions
6+ years
Average partnership duration with our core clients

Applications for financial data analysis and decision-making concentrate on optimizing risk, maximizing profit, and helping specialists spend less time on gathering and processing data. They provide a clear overview of a company’s performance in the short and long terms and reduce human error by automating analysis. So, what should you focus on when you want to build an efficient decision-making product?

  1. Advanced analytical tools that can process and clean big data sets
  2. Powerful regulatory compliance tools
  3. Highest-level data security
  4. Easy-to-use reporting instruments
  5. Wide customization options

To deliver a top-notch solution, make sure your fintech analytics app developers have expertise in building both fintech and business intelligence products.

When do you need our financial analysis software development expertise?

When you need to clean and process large amounts of data to drive business decisions
When you need powerful, yet simple tools for reporting and data visualization
When you want to comply with international, local, and industry-specific regulations
When you want to ensure your data is totally secure

Fintech Data Analysis Development Cases

We build strong financial software solutions that change the market

Clear Minds
Clear Minds
Key aspect that we like about Django Stars is a team composition that we’ve been working with. And from that composition the stability that we’ve had.
Patrik Hansson
Product owner of Clear Minds
  • Clear Minds

Services

Let us deal with the tech stuff. You’ll have more time to focus on business.

Software Engineering
Technology Consultancy
Our work has been featured in
One-Stop Borrowing on the Web
How To Find The Best Mortgage Rates And Lenders Online
MoloFinance scores £3.7M seed funding to offer a fully digital mortgage
Seven Big Changes Coming To The Banking Industry

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Why Django Stars for Financial Data Analytics Solutions

We focus on the product. And the numbers follow.

12+ years
Of experience building fintech analytics products for world-leading markets
2,5 years
Average project duration
9/10
Of our partners are ready to recommend us
TOP-5
Python developers according to Clutch
  • Contact Us
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Anastasiia Yuvchyk
Account Executive, Django Stars
Book a meeting with our expert, discuss your product idea and get your questions answered

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      Anastasiia Yuvchyk
      Account Executive, Django Stars
      Book a meeting with our expert, discuss your product idea and get your questions answered

      Frequently Asked Questions

      How long does it take to develop a working financial analysis app prototype?‌

      The time required to develop a working financial analysis app prototype depends on factors like complexity, features, and team size. With investment analysis software experience, a prototype can typically be developed in a few weeks to a few months, considering the gathering of requirements, design, development, testing, and iterations. The specific timeline can be determined by discussing your project details with a development team.

      What technologies do you use for financial analytics software development?‌

      For financial analytics software development, we utilize a combination of technologies that may include programming languages like Python, R, or Java, data visualization tools like Tableau or Power BI, machine learning algorithms, statistical analysis libraries, cloud computing platforms, and database technologies such as SQL or NoSQL. The choice of technologies depends on the specific requirements of the project and the desired functionalities of the financial analytics software.

      What do your financial analytics software solutions include?‌

      Our custom financial analysis software solutions encompass a range of features such as data integration from multiple sources, advanced financial modeling, real-time analytics, customizable dashboards and reports, forecasting tools, risk assessment modules, portfolio management capabilities, and compliance with industry regulations. These solutions provide comprehensive insights and empower businesses with informed financial decision-making.