Performance Insights Across an Entire Company
Automations and alerting keep you up-to-date
Analyze transaction data to find anomalies
Combine data sources to unify financial software
Empowering Financial Analytics Teams
Security first with Qrvey’s embedded analytics for financial analytics solutions. Enable teams to safely analyze sensitive data within SaaS applications, from individual records to entire financial practice performance all within your SaaS platform.
Maximum Data Security with Qrvey’s Embedded Analytics Solution
Qrvey is deployed directly to AWS environments for industry-leading security and scalability for financial analysis software.
With Qrvey’s cloud-native solution built on AWS, there are no servers to manage. Resources scale automatically as your needs change. You get powerful analytics capabilities without large upfront investments.
Learn More About Qrvey’s Deployment Model
Connect to Any Data Source, Including Real-Time Financial Transactions
Qrvey connects to any data type – SQL, NoSQL, and unstructured data sources like forms and images – and enables analysis from multiple financial data sources on a single dashboard.
With an API layer built for rapid development, data can be pushed directly from the source for real-time analysis within your financial analyst software solution.
Learn More About Qrvey's Built-In Data Layer
AI + Financial Analysis Tools
Qrvey’s connects directly to the AWS AI suite to power real-time machine learning augmentation for financial analysis software.
Since Qrvey deploys to your AWS VPC and analyzes financial data in real-time, this eliminates the need to copy data outside your AWS environment or use costly third-party ETL solutions with AI and ML.
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Improve ROI and Performance Using Your Data
Qrvey enables a wide range of financial analytics use cases while prioritizing data security. Our software embeds interactive analytics directly into financial data analytics platforms. This integrated approach accelerates time-to-value since teams can immediately access analytics within familiar systems.
Granular Analysis to Uncover Trends Instantly
Ingest and analyze data with Qrvey’s API
Enable teams to drill-in to the lowest level of data
The best in security as your data stays in place
Analyze Large Financial Data Volumes
Spot trends early with comprehensive automations
Optimize real-time detection
Connect to AI services for in-depth analysis
Provide the Best Financial Analysis Software
Collect real-time customer feedback
Analyze results as the data comes in
Alerting to keep processes inline
Learn More About How Qrvey Empowers Financial Analytics Solutions
Download this extended report to learn how the Qrvey’s embedded analytics solution enables executives, CFOs, controllers, and more with a customizable solution to meet the varying financial data analytics needs of any team.
Download ReportFrequently Asked Questions
What is financial analytics?
Financial analytics involves using statistical, predictive and optimization models to analyze financial performance and make data-driven business decisions. It entails gathering data from financial statements, budgets, investments, cash flows, transactions, etc. to evaluate risks, identify opportunities and forecast future performance.
Who are the typical users of financial analytics software?
Typical users of financial analytics include:
- Chief financial officers – To monitor finances and make strategic decisions.
- Accountants – To analyze historical financial data and create reports.
- Auditors – To identify control deficiencies, risks, and assess financial health.
- Treasurers – To forecast cash flows, manage portfolios, and evaluate investments.
- Financial analysts – To value assets, assess mergers and acquisitions, and research industries/companies.
- Portfolio managers – To optimize investment mix and returns based on quantitative analysis.
- Risk managers – To measure market and credit risks and minimize exposure.
What are common use cases of financial analysis tools?
Some common use cases are:
- Budgeting and forecasting – Build models to forecast revenues, costs, cash flows.
- Risk management – Assess market, credit, operational risks to minimize losses.
- Investment analysis – Analyze risk-return tradeoffs, construct optimal portfolios.
- Pricing optimization – Set optimal prices for products based on customer demand modeling.
- Fraud detection – Identify anomalies in transactions, claims, reports that indicate fraud.
- Process optimization – Improve efficiency of financial operations like cash flows, collections etc.
- Financial reporting – Generate regular reports for stakeholders on financial health, trends and variances.
- Mergers and acquisitions – Conduct due diligence, valuation, proforma analysis of deals.
See Qrvey in Action!
Learn about Qrvey’s embedded analytics platform and get quick answers to your questions by scheduling a demo with one of our embedded analytics experts. See why we’re the logical choice for SaaS companies like you.
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