Financial data analytics
Analyze your financial data
Itransition provides financial organizations, professionals, and investors with bespoke analytics solutions fully equipped to investigate financial big data assets and turn them into valuable business insights.
Banking data
- B2B/B2C transactions
- Mortgage interest rates
- Cash withdrawals and deposits
- Customer risk rate
Trading data
- Stock prices
- Currency exchange rates
- Industry benchmarks
- Market sentiment
Insurance data
- Claims history
- Insurance policy data
- Accident rate
- Insurance risk score
Accounting data
- Cash flow statements
- P&L reports
- AP and AR ledgers
- Changes in equity
Get hold of your financial trends with our data analytics solutions
Our financial data analytics solutions
Stock market analytics
Business performance analytics
Custom vs platform-based analytics
Depending on your business goals and requirements, Itransition can offer its expertise to either craft a custom data analytics solution from scratch or provide your enterprise with a platform-based tool built on top of Microsoft Power BI, Tableau, or Qlik.
Custom solutions
A custom data analytics system built from the ground up can be the best choice for organizations requiring a tailored set of features, full product ownership, and bespoke security measures.
Platform-based solutions
A platform-based tool is the option we typically recommend implementing if you're searching for a financial data analytics solution with lower upfront costs and faster deployment times.
Our holistic data analytics expertise
Itransition's developers and consultants will share their in-depth knowledge of fintech and big data to help you design and implement impactful financial data analytics solutions, guiding you all the way from early data assessment to full deployment.
We evaluate your financial data assets in terms of quality, legal compliance, and availability to make sure they match your requirements. We also identify suitable data sources to integrate them.
We configure ETL pipelines to extract raw data, transform it based on business logic, and load it into the data storage. If needed, we re-engineer and cleanse your datasets for further processing.
Data modeling
We process data with algorithms to spot patterns and correlations, build data models representing such relationships, and use these models to clarify the dynamics underlying financial trends.
We develop analytical solutions powered by data models and equipped with dashboards, charts, and other insightful data visualization features to facilitate data interpretation and storytelling.
Data API integration
We set up API layers to interconnect your data analytics system with market intelligence platforms, financial databases, and other reliable sources, fuelling your solution with an ongoing flow of relevant information.
Data analytics modernization
We can revamp your legacy analytics solution and make it live up to modern standards by redesigning its user interface, implementing new features, or migrating the entire system to a more efficient platform.
A full tech array to drive your data analytics
We can fuel your financial data analytics software with multiple data-related technologies to grasp any meaningful information that may ensure your competitive advantage on the market.
Itransition creates machine learning systems capable of processing your financial data with self-evolving algorithms to understand the logic behind specific market dynamics and aid your decision-making.
Itransition’s data scientists carefully execute each procedure required to extract knowledge from data, including data sources identification, ETL pipelines, data modeling, and engineering.
Our experts leverage statistical and ML algorithms to process historical data, identify recurring patterns, and predict future financial trends to enhance your business forecasting capabilities.
Adopt your data analytics system built by Itransition
More fintech solutions
Stock trading software
Itransition provides brokerage companies, banks, hedge funds, and other financial players with software solutions analyzing real-time stock market data to help make better investment decisions and optimize trading operations.
Banking software
We craft end-to-end software ecosystems designed to enhance operational efficiency in a variety of banking functions, including account management, payment processing, currency exchange, loan applications, and reporting.
Mobile banking
We deliver Android, iOS, and cross-platform mobile apps allowing customers of banking and financial services providers to easily manage their assets and perform payments or fund transfers on the go.
Banking CRM
Itransition's banking CRM solutions enable your organization to track prospects and leads, profile your customers, and provide them with customized financial advice and pricing policies to improve your upselling and cross-selling strategies.
How we protect your financial data
We empower your financial analytics solution with efficient cybersecurity measures to protect your data assets from breaches, data leaks, and other disruptive events while offering advice on how to adopt data governance best practices.
Identity and access management
- User activity monitoring
- Role-based access
- User account lifecycle automation
Security information and event management
- Real-time security event analysis
- Network log aggregation
- Data storage for forensic analysis
Penetration testing
- Cyber attack emulation
- Security control validation
- System vulnerabilities identification
Secure data governance
- Data quality notification systems
- Enterprise data catalogs
- Data mapping features
Case study
BI consulting and engineering for a commercial bank
Find out about Itransition's high-profile BI consulting for a Canadian bank, including data architecture analysis and a BI strategy.
Insights
A guide to predictive analytics in finance
Learn how financial institutions can apply predictive analytics in finance to minimize risks, decrease operational costs, and improve their bottom lines.
Insights
Machine learning for stock market prediction: a tech overview
Explore the trading opportunities, key algorithms, implementation guidelines, and challenges of machine learning for stock market prediction.
Case study
Banking portal development for a large EU bank
See how Itransition handled banking portal development, redesigning an outdated internet banking app.
Insights
Machine learning in banking: 8 use cases and implementation guidelines
Learn how banks can apply machine learning to improve customer engagement, streamline compliance, and drive more revenue.