In April this year, we announced that Qlik had successfully achieved Google Cloud Ready – BigQuery Designation for its Qlik Sense® cloud analytics solution and Qlik Data Integration®. We continue increasing customer confidence by combining multiple Qlik solutions alongside Google Cloud BigQuery to both help activate SAP data, and now mainframe data as well.
Many mission-critical business applications continue to run on mainframes. It's the backbone of many global enterprises including the financial sector, manufacturing and the public sector. However, with increasing reliance on mainframes to run these businesses, costs are increasing too, including those for hardware, licensing, and MIPS (millions of instructions per second) usage.
In addition to the increasing costs of just running existing mainframe workloads, it's becoming increasingly difficult to innovate on a platform with a dwindling skill set. And being locked into a legacy platform prevents organizations from accessing the innovations taking place in public clouds.
That’s where Qlik’s mainframe modernization approach can help. Qlik, in partnership with Google Cloud, addresses business imperatives and challenges from legacy platforms and helps organizations embark on new digital journeys. Mainframe modernization provides exponential benefits to organizations by increasing business agility and operational efficiency. This drives high business growth and the adoption of newer business models while reducing software, hardware, and operational costs and minimizing risks from shrinking talent pools and dated technologies.
Qlik augments Google Cloud's data-modernization approach to help organizations unlock mainframe data and move it to the cloud so you can get more value without impacting important mainframe workloads. You can retain mainframe infrastructures while building out use cases such as offline queries with a modern data platform and take advantage of AI/ML and cloud capabilities as well as API technology.
Qlik can help organizations leverage repeatable analytics solution accelerators by delivering real-time data from SAP and other data sets into a consolidated enterprise data warehouse with built-in data cataloging capability. Additionally, organizations can combine data from everyday business processes such as financials, inventory management, procure-to-pay, and order-to-cash with other cross-enterprise data sets for advanced insights. Organizations also benefit from predefined operational data marts, change data processing, and machine learning templates for common business scenarios as part of the Google Cloud Cortex Framework.
The latest Qlik innovations and the growing market embrace of active intelligence has facilitated real-world developments of best practices while deploying Qlik alongside Google Cloud. Here are a few standout successes earned through the combined implementation of Qlik with Google BigQuery:
Together, Qlik and Google Cloud drive value and innovation for enterprises with SAP and mainframe that help you get the most out of your investment. To learn more, visit the Google Cloud Migration & Data Transfer - Google Cloud Platform | Qlik page or request a demo.