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Snowflake for

Financial Reporting

Unify disparate data with the Snowflake Data Cloud to improve payment integrity, provide real-time insights for accurate reporting and forecasting, and drive financial performance.

How Capital One Leverages the Power of Data in the Cloud

The financial service industry is very much a fragmented industry. It’s really siloed by data, yet it is the connective tissue that connects the ecosystem.

WHY SNOWFLAKE

FOR FINANCE

Single source of truth

Easily unite all business system data under a single data platform to enable financial professionals to operate from a 360 degree view of the business and gain a deeper understanding of vital financial indicators.

Unlimited performance and scale

Leverage Snowflake's speed to run queries quickly during critical moments. Manage and run data applications, models, and pipelines where data lives with no resource contention with other departments.

Access and govern your data

With the surge of IPOs and increasing regulatory requirements, Sarbanes-Oxley (SOX) compliance reporting has become more time consuming and costly. With Snowflake you can enable fine-tuned control over read/write privileges for SOX automation. Your organization can also seamlessly leverage data masking for sharing sensitive financial data.

Financial Reporting

Partners

Hear from our

CUSTOMERS

Our Customers

Financial Reporting

USE CASES

STREAMLINED REPORTING

Single Source of Truth

Finance organizations tend to gatekeep information not because they want to, but because they have varying access control and performance regions. With Snowflake, you can easily create a centralized source of truth that empowers the entire organization to leverage data.

Supply Chain Analytics

Gain visibility into your supply chain and get a better understanding of your risks and what that means for your margin opportunity.

Stress Testing

With access to cross-asset class data, easily perform risk analytics and demonstrate sufficient market liquidity to meet CCAR reporting requirements.

FORECASTING

Adopt a Value-Based Approach

Usage-based consumption and consumption-based pricing require a mindset shift from finance teams. While the consumption model is advantageous for the customer because there’s no financial waste (you only pay for what you use), this requires budgets to be variable rather than fixed and expenditures become operating expenses (opex) rather than capital expenses (capex). Financial managers benefit from adopting a value-based approach to financial assessments.

Increase Accuracy with Predictive Analytics

Predictive analytics makes forecasting more accurate and reliable, enabling improved decision-making and planning. Depending on your business, predictive analytics can help you forecast inventory needs, avoid shortages or waste, manage schedules and resourcing for goods and services, set prices based on trends, and optimize revenue.

FP&A Forecasting

Snowflake’s finance team uses the Data Cloud to power their corporate planning cycle, including forecasting revenue and other critical metrics.

PROCUREMENT

Vendor Data Enrichment

Ensure supplier compliance across your across your organization by running it through a trusted master database.

Streamline the Buy-Side Process

Leverage available data to mitigate risks and enhance due dilligence. Easily access data regarding volumes and prices, service level agreements (SLAs), terminations, extensions, and more to reduce the amount of time spent per procurement task and optimize the buy-side process.

Share Data with Vendors Securely and Easily

Consolidate vendors and their data in one place to easily query performance, costs, and other key metics and spend less time managing this data for financial reporting.

WAYS TO

get started

Start Your 30-Day

Free Trial

Try Snowflake free for 30 days and experience the Data Cloud that helps eliminate the complexity, cost, and constraints inherent with other solutions. Available on all three major clouds, Snowflake supports a wide range of workloads, such as data warehousing, data lakes, and data science.