Snowflake Data Cloud and BI tools are built specifically for analyzing the Order-to-Cash cycle. They empower companies to make snappy business decisions with accurate and timely insights.
The right data at the right time in a single dashboard will make or break your sales and supply chain strategy. With increasing pressure on performance from suppliers, customers, and shareholders, you need to maintain a sharp order to cash performance.
Order to Cash (O2C) is the heart of a healthy business, and it is often there where visibility becomes critical. Get a solid handle on O2C using the latest cloud applications and our best practices with Jade Global's first-rate experience in delivering robust, scalable data solutions leveraging Snowflake’s Order-to-Cash process.
What is the Order to Cash process?
The order-to-cash process takes a customer’s order and ensures it's fulfilled wholly and accurately. Any business that accepts customer orders exists in an order-to-cash environment.
In the Order-to-Cash cycle, the goal is to convert customers' orders into revenue. The sales department doesn't end with the new order—it starts there. To accomplish this, companies need to know who and what they are selling, when and how best to sell it, and what happens after a sale.
The O2C and business processes:
O2C is crucial for any business. Let’s see where and why companies use O2C to establish its necessity today:
Businesses improve sales when they can close the loop faster and more efficiently. Therefore, creating a seamless end-to-end experience that improves Order-to-Cash operational performance is essential. In addition, O2C is one of the most critical stages in a supply chain. As a result, there must be changes to inventory, operations, and finance systems; this is where Order-to-Cash comes into play.
To manage the process well, you need better-managed business functions: sales, manufacturing, technology management, fulfillment, shipping, and accounting.
With visibility into Order-to-Cash activities and processes, enterprises will understand business performance, resulting in more significant efficiency savings for an organization.
So now you ask where the bottleneck lies.
What's the hold up with Order to Cash data?
- No uniformity in customer experience
- Lack of visibility across the entire O2C process
- Inconsistent data
- System dependencies
- Business silos of various departments
- Transaction data available is not optimally used for any intelligence
- Manual and time-consuming O2C processes
79% of companies have three or more order capture and three or more order fulfillment systems, as per the Supply Chain Management Review Order Fulfillment Survey, making gaining insight into order status a challenge.
What can a good insight into your Order to Cash data do for your business?
- Need for Analytics: In this new landscape, advanced analytics is more important than ever to inform sound business decisions. With excellent Order to Cash Analytics like the Order to Cash process with Snowflake Data and Analytics, you can benchmark operational performance, forecast future performance/sales, and identify growth opportunities.
- Single Source of Truth: What if we told you that you could drill down to the information you need? With Snowflake intelligence into your Order to Cash, a single source of truth is delivered for your complete order management process and across financial applications.
- Improving Order Performance and Efficiency: You want to see the big picture, but the small details are critical too. You need an Order-to-Cash like the Snowflake Data Marketplace to address your entire business process, from order receipt through payment. Getting value out of the data of your order-to-cash involves mapping and modeling and enabling you to analyze and improve the performance of every function in your order-to-cash cycle. With it, you'll get insights into where costs are coming from historically and where you can make process improvements moving forward.
- Customer Experience: Executives rely on data to make decisions, and businesses need data to make customer experience successful. Order to Cash process with Snowflake Data & Analytics will uncover opportunities for improvement and strengthen the bond between customer and brand. For example, an order-tracking software solution can turn the onboarding process into an opportunity for further engagement with a business’s sales funnel.
- Account Receivables/Finance: Are you tired of analyzing your daily cash flow and using separate spreadsheets to analyze your company's performance based on different dimensions? Improved intelligence results in real-time views of metrics such as Days Sales Outstanding (DSO) and Days Inventory Outstanding (DIO). These metrics measure the extent to which a business depends on short-term capital versus long-term capital for its operations.
You need Order-to-Cash Data using Snowflake Intelligence to analyze and maximize your O2C data:
The Snowflake Data Marketplace is the most advanced data cloud available, supporting a wide range of data types and workloads with a high-performance, secured multi-tenant architecture. The Snowflake Data Marketplace masters the complexity of leveraging on-premises, hybrid clouds, and other clouds – and all this with industry-standard tools and metadata so you can get started right away.
It offers you a single source of truth, ways to store complex data, and to look across diverse data to make more strategic decisions. Snowflake is a complete solution for consolidating, migrating, and sharing real-time data.
- Unique Architecture: Snowflake delivers enterprise-grade analytics at the speed of Big Data by automatically sharing your data across clusters and optimizing every step of the process – from ingestion to query – with real-time analytics. The result is a multi-tenant cloud database explicitly designed for modern data applications.
- Flexibility and Adaptability: Delivered as a service, Order-to-Cash Data using Snowflake Intelligence makes it possible to collect, store and query all your diverse data to become instantly elastic and run the workloads you want. It is a single unified cloud data warehouse that scales in real-time to meet your changing business needs.
- Uninterrupted Data Ingestion: Snowflake’s serverless ingestion service is built upon a scalable, resilient, parallel processing framework that addresses today’s high-volume and complex workflows.
- Strong Transaction Management and Data Segregation: The snowflake Order to Cash process applies database atomicity, consistency, isolation, and durability (ACID) properties to ensure transaction steadiness in power failures and unanticipated situations.
- Highest Security and Compliance Standards: Snowflake's security and compliance standards are centered around three core pillars: complete control of data, comprehensive visibility into Snowflake usage, and advanced cybersecurity practices, using a multi-layered approach to security.
- Metadata for Accuracy and Uniformity: A robust metadata service traverses the system. Create, manage, track, and audit metadata connected to all your data and internal processes.
- Multi-pronged Storage: Snowflake’s automated data motion and tiering are enabled by machine learning algorithms that optimize for cost, performance, latency, and fast data delivery and can easily handle structured and unstructured data. Snowflake can automatically move your data across regions as your needs change without burdening your IT team.
Snowflake’s cloud data platform also allows secure data sharing and interchange, enabling businesses to achieve higher performance and workloads. A global imprint makes disaster recovery easy, further enhancing business continuity practices.
All organizations need to bring more agility and strength to their data infrastructure, and most need help figuring out where to start. Jade Global's Snowflake Order to Cash process experts will share how you can analyze and maximize your Order to Cash data today using the power of Snowflake's platform in our upcoming webinar.
With Snowflake Intelligence, you can analyze and enhance your Order to Cash data, design reports for key stakeholders with no technical skills, and assess data quality.