Published on November 9, 2023, 3:36 am

Qlik, a leading data integration and analytics company, has recently announced its suite of SAP Accelerators on Qlik Cloud Data Integration. This innovative offering is part of Qlik’s enterprise integration platform as a service (eiPaaS) and aims to streamline the entire data supply chain for SAP data, from real-time ingestion to analytics-ready insights in the cloud.

These accelerators are now readily available on Qlik Cloud, providing customers with the means to reduce costs, minimize risks, and accelerate time-to-value for SAP data related to common solutions such as Order-to-Cash, Financial Analytics, and Inventory Management.

Itamar Ankorion, Senior Vice President for Technology Alliances at Qlik, emphasized that customers operating in dynamic markets desire the ability to combine real-time SAP data with multiple sources in the cloud. With Qlik’s SAP Accelerators on Qlik Cloud Data Integration, customers can leverage the power of the cloud to enhance decision-making around core business transactions and drive revenue and performance.

One of the key benefits is enabling customers to feed their preferred cloud platforms like Amazon Web Services (AWS), Databricks, or Snowflake with SAP data seamlessly. By utilizing Qlik’s SAP Accelerator templates along with their chosen cloud platform as the engine for generating insights within Qlik’s intuitive interface, customers gain valuable business intelligence from their most impactful SAP-related data directly in the cloud.

Siemens Energy is an example of a company already reaping these benefits. Nicolas Legato, IT Project Manager at Siemens Energy mentioned that they leverage Qlik Data Integration alongside Snowflake and AWS as part of their cloud-first strategy. With this setup, they can make timely decisions based on current information from various sources like Salesforce and Oracle while ensuring operational systems are not overloaded.

The debut of SAP Accelerators on Qlik Cloud Data Integration builds upon Qlik’s extensive experience in overcoming complex challenges associated with transforming and delivering SAP data. The offering leverages Qlik Cloud Data Integration’s suite of Software-as-a-Service (SaaS) services, empowering customers to harness the power of their most valuable SAP-related data within the convenience and flexibility of the cloud.

Qlik achieves this by leveraging fully automated change data capture (CDC) technology, enabling continuous real-time ingestion of SAP data without impacting source systems. Once the SAP data is ingested into popular cloud storage platforms like Amazon S3 or Snowflake, Qlik automates the creation of data pipelines, eliminating the need for manual coding typically associated with extracting, transforming, and loading (ETL) processes. This not only ensures efficient data modeling but also increases agility and productivity throughout the entire data warehouse lifecycle.

Additionally, Qlik’s solution accelerators further enhance the acceleration process by integrating agile workflows, refining data models, creating tailored key performance indicators (KPIs), and developing purpose-built analytic dashboards. These accelerators cater to specific use cases such as Order-to-Cash, Financial Analytics, and Inventory Management.

The SAP Accelerators on Qlik Cloud Data Integration are now available for integration with Databricks and Snowflake platforms. This expansion enables more organizations to leverage advanced analytics capabilities on these popular cloud platforms while harnessing the full potential of their SAP data.

In conclusion, Qlik’s introduction of SAP Accelerators on Qlik Cloud Data Integration brings forth a comprehensive solution for organizations seeking to optimize their SAP data management in the cloud. By combining Qlik’s expertise in handling complex transformation challenges with its innovative integration platform as a service offering, businesses can unlock valuable insights from their SAP data while speeding up time-to-value and reducing costs. With an extensive range of accelerators available for common use cases, organizations can tailor their analytics experience to suit specific business requirements seamlessly.

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