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Creating SAP insights with Qlik, Snowflake and AWS.

a technical blog

SAP Enterprise Resource Planning (ERP) contains valuable sales order, distribution, and financial data, but it can be challenging to access and integrate data into SAP systems with data from other sources to gain a complete picture of the end-to-end process.

How to create SAP insights with Qlik, Snowflake and AWS.

Order-to-cash is a critical business process for any organization, especially retail and manufacturing. It begins with booking a sales order (often on credit), followed by fulfilling that order, invoicing the customer, and finally managing accounts receivable for customer payments.

Fulfilling sales orders and invoicing can impact customer satisfaction, and accounts receivable and payments impact working capital and cash liquidity. As a result, the order-to-cash process is the lifeblood of the business and is critical to optimize.

SAP ERP

SAP Enterprise Resource Planning (ERP) contains valuable sales order, distribution, and financial data, but it can be challenging to access and integrate data into SAP systems with data from other sources to gain a complete picture of the end-to-end process.

For example, understanding the impact of weather conditions on supply chain logistics can directly impact customer satisfaction and their willingness to pay on time. Organizational silos and data fragmentation can make it even harder to integrate with modern analytics projects. That in turn limits the value you get from your SAP data.

Continuous intelligence

Order-to-cash is a process that requires active intelligence – a state of continuous intelligence that supports triggering immediate actions based on real-time, up-to-date data. Streamlining this analytics data pipeline typically requires complex data integrations and analytics that can take years to design and build – but it doesn’t have to be that way.

  • What if there was a way to combine the power of Amazon Web Services (AWS) and its artificial intelligence (AI) and machine learning (ML) engine with the computing power of Snowflake?
  • What if you could use a single Qlik software-as-a-service (SaaS) platform to drive automation of ingestion, transformation, and analysis for some of the most common SAP-focused business transformation initiatives?
  • What if suppliers and retailers/manufacturers could collaborate better by enabling mutual access to real-time data through Snowflake's data sharing and marketplace capabilities?

In this blog, we discuss Qlik Cloud Data Integration accelerators for SAP in conjunction with Snowflake and AWS.

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