April is an exciting time at Qlik as we build momentum towards Qonnections 2019 and later in the quarter, the global Qlik Analytics Tour. These great events will showcase Qlik Sense April 2019 – which is now available! This release sets us apart from the competition with significant advancements to our multi-cloud capabilities – including a new enterprise SaaS deployment option, as well as innovative advancements to our market leading AI capabilities.
When the Application Program Interface (API) first came into existence, developers viewed it as a revolutionary approach to creating re-usable software fragments. Instead of creating new code from scratch for every new program, they could now use existing functionality to develop new features. Not only did this decrease the amount of time needed to deploy a program but also meant they could leverage existing code which was already tried and tested.
We decided to pursue a regional growth strategy quite early on. As an Australian company, we believed it was necessary to look overseas to grow our business quicker. We knew it wasn’t going to be easy, but there were three important lessons that we didn’t expect to learn when we set out overseas.
We are in the era of the information economy. Now, more than ever, companies have the capabilities to optimize their process through the use of data and analytics. While there are endless possibilities to data analysis, there are still challenges with maintaining, integrating, cleaning it to ensure that it will empower the people to take decisions.
In the first blog post of the series, we saw the dire state of analytics adoption. This problem feeds into the low usage and governance of data across organizations. Then, in the second post, we saw how the evolution of analytics has brought us to a prime position for augmented analytics. But will this new wave of augmented analytics break through the barriers to BI adoption?
DevOps is all the rage right now, and it is only the beginning. In this blog, I’ll cover how to get started with Talend continuous integration, delivery and deployment (CI/CD) on Azure. The first part of the blog will briefly present some basic DevOps and CI/CD concepts. I will then show you how the Talend CI/CD architecture and how it fits in Azure ecosystem with a hands-on example.
Software vendors that are looking to accelerate their path to AI need to take advantage of the AI already in analytics platforms. Gartner believes that the future of analytics is augmented. That is, analytics will be AI-driven and all end-to-end use cases will be automated. I also believe it won’t be long before analytics is no longer on our desktops - instead it’ll be embedded in applications.
I am very excited to introduce Pipeline Designer, a next-generation cloud data integration design environment that enables developers to develop and deploy data pipelines in minutes, design seamlessly across batch and streaming use cases, and scale natively with the latest hybrid and multi-cloud technologies.
If, as we saw in part one of this series, 77% of businesses are 'definitely not' or 'probably not' using analytics to its full extent and the adoption rate of analytics platforms is an abysmal 32%, something drastic needs to happen. Can the era of augmented analytics with its machine learning and AI fix this adoption issue?
Last month we brought together two data experts for a webinar discussion on best practices and approaches to implementing analytics and defining data roadmaps. The renowned Dan Vesset from IDC joined Qlik’s Michael Distler to review the current state of the data journey and how users can plan for success.
