Qlik Rolls out New Release of its Next Gen App for BI & Visual Analytics
Qlik previewed Qlik Sense® June 2017, the newest release of its next-generation application for self-service business intelligence (BI) and visual analytics.
Built on a fully integrated, cloud-ready platform, and powered by the patented QIX Associative Indexing Engine, Qlik Sense combines enterprise readiness and governance with intuitive visualization and exploration, advanced analytics, and self-service data preparation capabilities. This breadth and depth allows organizations to meet the broadest range of BI use cases from a single platform leading to consistent, data-driven decision making. At its Qonnections 2017 customer and partner event, Qlik previewed functionality highlighting how the Company will advance its analytics portfolio to drive greater insight from all data, on premise and in the cloud, while augmenting the intelligence of users across the enterprise.
“Qlik pioneered the category for user-driven, governed self-service BI. With Qlik Sense, we continue to expand the market by creating a scalable, secure, and cloud-ready platform that organizations can consider the centerpiece of their enterprise-wide BI deployment,” said Anthony Deighton, Qlik CTO and SVP of Products. “Our platform approach allows us to address a breadth of use cases with more depth than other offerings. The openness of the underlying platform expands opportunities for custom analytics apps, embedded BI, and developer innovation leveraging new technologies like artificial intelligence and natural language generation.”
Building Towards Seamless Hybrid Cloud Analytics
As more and more data is born in the cloud, an increasing number of customers are also choosing to embrace visual analytics via the cloud. With more than 100,000 users visualizing data with Qlik Sense® Cloud and Qlik Sense® Cloud Business, groups and businesses can create, manage and share analytics in the cloud, and access the power of the Associative Difference via an easy-to-adopt, subscription-based service. In addition, by leveraging managed cloud offerings through partners, and online marketplaces including Amazon Web Services and Microsoft Azure, Qlik is committed to making it easier and faster for enterprises to deploy and manage Qlik Sense in the Cloud – on the customers’ terms.
During Qonnections 2017, Qlik executives laid out the roadmap to seamlessly connect on-premise deployments of Qlik Sense Enterprise, with cloud-based services, creating an environment for supporting customers’ evolving needs and choice. To achieve this, Qlik is making investments in its core infrastructure to support the customers’ ability to choose where the data resides, where the analysis happens, and where and with what device users want to access it.
“We architected Qlik Sense and the Qlik Analytics Platform to be cloud ready, and now we’ve embraced a micro-services architecture that will enable seamless spanning of data and analysis across infrastructure boundaries,” said Mike Potter, SVP of Engineering at Qlik. “This is about customer choice and flexibility, unprecedented scalability, and achieving significant cost efficiencies for our customer base.”
As another proof point in its roadmap to Hybrid Cloud Analytics, Qlik now offers several new client options for use with Qlik Sense Enterprise and Qlik Sense Cloud. Qlik Sense Mobile is a new, native app for Apple iOS, which supports the full associative model when offline, with the QIX engine running locally on the device, and integrates with EMM products such as AirWatch, MobileIron, and Blackberry. In addition, Qlik Sense Desktop is now offered as a supported client when used in Qlik Sense Enterprise environments. These options provide more flexibility for customers and help bring visual analytics directly to the point of decision.
Because people do not make decisions alone, value-added services like Qlik Connectors will always be an important part of the Qlik Cloud strategy. As such, Qlik is including Qlik Connectors in Qlik Sense Cloud Business for seamless access to REST sources, Google Analytics, Facebook and Twitter, with enhanced support for tabular sources such as CSVs and Excel files and connectivity and automated refresh capabilities. Additional connectivity is rapidly being added, including SQL Server via ODBC for on-premise data, followed by cloud-based file storage services such as Dropbox and Box.com.
