Qlik Launches Order-to-Cash Solution Accelerators for SAP: Modern Real-time Analytics to Optimize Your Cash Flow


Today, more than ever, line-of-business users responsible for managing working capital need actionable insights in real-time. At the same time, IT/data teams want to accelerate projects, as well as modernize and integrate their data architectures and analytics, while managing risks and costs.

However, current data architectures that exist in organizations today do not meet these customer requirements. A Forrester report showed that between 60 percent and 73 percent of all data within an enterprise goes unused for analytics. Fifty-two percent of SAP users as surveyed by SAPinsider – the largest SAP membership group worldwide – said that a top analytics pain point is data integration. And an Accenture survey revealed that only 32 percent of executives say they can create value from data!

If this is your situation, Qlik is here to help. To unlock the hidden insights in SAP data, Qlik is leading the industry in accelerating use of SAP data for actionable insights and decision making. We just launched the Qlik Order-to-Cash solution accelerators for SAP, the first in a series of SAP-focused data and analytics solution accelerators that speed the ROI of integrating SAP data with modern analytics projects.

Order-to-cash is a critical business process. It includes activities from booking and fulfilling an order to getting paid. Order fulfilment and billing affect customer experience and loyalty. Receivables management and payments affect working capital and cash. Given the times, what could be more important than taking care of your customers and taking care of cash so you can run your business smoothly?

However, order-to-cash also happens to be one of the more complex of business processes to optimize. It is highly fragmented across teams, as there are stakeholders in sales order management, in supply chain logistics and warehousing, and in finance billing, accounts receivables management, and financial accounting. In addition, the data is also fragmented across multiple systems. This is where Qlik’s data integration and data analytics platform shines.

The solution accelerators come with prebuilt components for SAP sales orders and accounts receivables data replication, data warehouse automation to a cloud platform of your choice (Azure Synapse, Microsoft SQL Server, Google BigQuery, Snowflake DW, AWS RedShift, etc.), as well as order-to-cash modern analytics.

The prebuilt data integration and transformation into order-to-cash analytics-ready data and KPIs can save months and thousands of hours of data effort. And, the prebuilt analytics components empower users of all levels of data skills with actionable insights via rich, interactive order-to-cash KPI dashboards, intelligent alerting and AI-enabled conversational analytics. Users don’t have to wait till next day for updates on sales bookings, billings, fulfilment or payments. If shipments are delayed, they can be notified in real-time and proactively contact fulfilment or the customer. If payments are predicted to be delayed, they can act fast and thus reduce days sales outstanding and optimize working capital.

With tremendous amount of order-to-cash and working capital performance management functionality already built-in, these accelerators can speed your SAP data modernization, enable more agility, and quickly deliver a business solution for order-to-cash analytics users.

To find out how your business can benefit from real-time modern analytics, join us for “How to Turn SAP Data into Critical Business Insights” on 20th May 2021.

The session will cover:

  • Learn how to build a strategy to modernize analytics to support core finance and order management functions such as order-to-cash.
  • Provide real-time data from the various LoB applications and core ERP.
  • See a live demo of how to actually transform raw SAP data into usable information and actionable insights for the business.
  • Discover new ways to support order-to-cash visibility and important views into cash, liquidity, and working capital.

This article is sponsored by Qlik

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