Banking & Financial Services
ORION HELPS BANKS AND FINANCIAL INSTITUTIONS IN EXPLORING INNOVATIVE STRATEGIES TO REDUCE COST, IMPROVE MARGINS AND TRANSFORM THEIR EXISTING OPERATIONS TO MATCH THE CONTINUOUSLY EVOLVING MARKET TRENDS.
We approach solutions by examining how new sources of information can be used to improve revenue and how analytics can reduce total cost of operations. We use data science and machine learning tools to improve efficiency, optimize portfolios, and provide real-time snapshots. Our ability to execute on common financial services features financial forecasting models, analyzing customers, aggregating market & consumer data and mitigating fraudulent behavior. We leverage data science tools to create custom platforms and systems that monitor, learn and inform our clients.
Solutions
REAL-TIME & PREDICTIVE ANALYTICS
REAL-TIME & PREDICTIVE ANALYTICS
REAL-TIME & PREDICTIVE ANALYTICS
Predictive analytics can be applied to a host of unstructured data to forecast, analyze and trend patters by combining predictions from sentiment, data sources, and ML models.
Credit Ratings: Analyze real-time credit ratings information and provide lenders with more accurate snapshots of a customer’s assets, business, operations and transaction history.
Tracking Tools: Develop tracking tools to mine and report key metrics, reports and statistics for target companies, products, segments and industries. Analyze multiple data points to determine the correct investment strategy.
Volume Analysis: We can implement volume examination models to make pricing predictions. Similar models can be leveraged to examine social and search traffic and identifying online precursors for stock market moves.
Financial Analysis: We can analyze and create decision platforms for payments, credit providers and institutional traders by integrating historical and real-time transactional data to improve efficiency.
RISK & FRAUD PREVENTION
REAL-TIME & PREDICTIVE ANALYTICS
REAL-TIME & PREDICTIVE ANALYTICS
Detect and prevent fraud, waste and abuse by leveraging advanced analytics to predict anomalies in real time.
Graph Analysis: Create machine learning security systems to track patterns and assess real-time threats of fraud, waste and abuse. Monitor and profile using historical data and behaviors to predict risks and automate action.
Financial Fraud: We can analyze account balances, spending patterns, credit history, employment details, location and other information to determine if transactions are legitimate and automate their handling.
Credit: Combine segmentation tools with predictive analytics to determine the return on credit and loans. Ingest location, neighborhood development, social, credit reports, business reports, transaction history, demographics and historical data to make predictions.
Audit: Improve data management and deploy new generation analytics on your existing systems (or employ a cloud strategy) to improve fraud and criminal activity detection. Visualize in real-time with aggregated risk data, models and analysis.
SENTIMENT ANALYSIS
REAL-TIME & PREDICTIVE ANALYTICS
SENTIMENT ANALYSIS
We apply natural-language processing, logic, text analysis and summarization to examine media, documents, and external data to determine and individuals thought process.
Algorithms: Build tools around market sentiment data (e.g., social media activity) for real-time and in-depth trend and news analysis.
Target Tracking: Create algorithms to track trends, monitor new product launch, feedbacks and measure improvements in overall brand perception.
Operations: Analyze unstructured voice recordings from call centers to improve customer service and optimize churn, up-sell and cross-sell of products. Filter fraud and prevent unauthorized access.