But it can be a challenge to access and integrate data in SAP systems with data from other sources to get a full view of the end-to-end process. Adding in organizational silos and data fragmentation makes it even more difficult to integrate SAP data with modern analytics projects.
But what if there was a way to expand the value of your SAP data? To utilize the power of Amazon Web Services (AWS) and its artificial intelligence (AI) and machine learning (ML) engine together with the data processing and management of Snowflake and Qlik Cloud’s Data and Analytics services. Such a solution could help organizations accelerate many common SAP centric business transformation initiatives.
It’s here! Qlik, together with AWS and Snowflake, is excited to announce a single solution that combines the modern capabilities and experience of three technology leaders to help everyone within the organization gain SAP data insights.
Qlik is an AWS Data and Analytics Competency Partner as well as a Migration and Modernization Competency Partner that provides an end-to-end, real-time data integration and cloud analytics platform. Snowflake has AWS Competencies in Data and Analytics, as well as Machine Learning, and has reimagined the data cloud for today’s digital transformation needs.
Qlik Cloud Data Integration easily works with Snowflake on AWS to solve some of the most common SAP business problems. The solution automates the ingestion, transformation, and analytics to make it easy for users to derive business insights that can drive decision-making. Qlik also offers pre-defined templates for those customers who want to further accelerate the implementation
Qlik Cloud Data Integration extracts data from SAP and lands the data into Snowflake as the data repository. Qlik then keeps the data synchronized with its change data capture (CDC) technology. Qlik’s transformation engine then converts the raw SAP data into business-friendly data ready for analytics, leveraging the efficiency of the Snowflake data platform. To complete the solution, Qlik uses its Qlik Cloud Analytics service along with Amazon SageMaker to produce SAP data analytics and visualizations together with predictions rendered using the AWS AI/ML engine.
In a typical order management cycle, sharing information across organizations has become paramount to the successful operation of the modern enterprise. Improved customer satisfaction, increased competitiveness, and the reduction of supply chain bottlenecks and DSO (days sales outstanding) are key indicators for an optimized cash flow for the business. Qlik, in collaboration with Snowflake and AWS, can speed up your SAP data modernization, enable more agility and cross-organizational collaboration, and quickly deliver business solutions through optimized order-to-cash business insights.
To learn more about this solution, visit the Qlik (#3538) or Snowflake (#2604) booth at AWS re:Invent, read our joint technical blog, or contact us directly here to start realizing the full potential of your SAP data.