Data Literacy, Cloud solution, Embedded Analytics, Artificial Intelligence, Machine Learning, Conversational Analytics, Data Management, Data Integration, Data Governance, Data Discovery, Self Service BI, Big Data, Data Story Telling etc. etc. I am hearing this kind of words every day from every kind of people in my BI eco-system environment.
Sometimes these words are getting missused by people, but it is becoming more and more a daily topic which we are facing in our daily business, therefore I would like to give a short summary of the emerging trends and how Qlik is giving to the market the necessary tools to fit in this modern trends.
Trends that have clearly increased in importance compared to last years which has lead to new agile BI development methodologies and usage of advanced analytics techniques by creation of specific analytics teams. This new methodolgies allows a more suitable cooperation between the IT and business needs, to be able to guarantee a centralized IT data governance and meet the fast changing business needs by establsihing Self Service BI platforms. Additionaly advanced analytics tecniques which includes machine learning models are used to even better bridge the gap between data and the human decision maker, by allowing a multi level data exploration experience, knowing that the system is learning right along with every new insights it gets from the user. The sol called Augmented Intelligence is becoming reality.
Is this not exciting?
As for a Data and BI enthusiastic like me it is very inspiring and opens new possibilities and new ideas in creation and delivery of new solutions and services for our daily life which helps us to improve our live and working quality. I have to admit that sometimes it is quite challenging to keep ourself up-to-date with all this new stuff and the lack of time, but it makes our work interesting and never boring.
How Qlik is keeping up with all this new trend?
I would say that Qlik is not only keeping up with the new trends but is also making new trends by the introduction of new solutions and services, which allows comapnies “to eat and speak” data to foster a data literacy culture in their organizations.
Here listed some new tools Qlik brought out recently which meets all this new trends described in my post:
- Attuinity for faster Data Integration
- Data Catalyst for for better and easier Data Management
- Data Robotics to allow and easy and fast adoption of advanced analytics tecniques by using machine learning models
- Qlik Insights Bot for the conversational analytics part, very similar to my personal project www.botyiscoming.ch.
- Qlik Sense on Kubernetes
As part of a Qlik Sense Enterprise Multi-Cloud deployment, finally it is possible to install Qlik Sense Enterprise on Kubernetes under usage of containers and dedicated micro-services. But please note this not means under LINUX, as many people would think ! 🙂 This is an implementation of Qlik Sense Enterprise running on a Kubernetes cluster using containers. This approach allows deployments into Kubernetes clusters running in public or private clouds on customer managed infrastructures. For further information related to it just checkout the videos of the great Christof Schwarz which explains a bit the new deployment possibilities using Kubernetes. Related to it there are some new changes also on how the Hub is presenting itself, by introducing some new concepts like app collection instead of streams, reviewed and optimized Security Rules concept which will have a benefit in the performance as well, usage of MongoDB instead of PostgreSQL and son on.
- Qlik Insight Advisor
The Qlik Insight Advisor which supports business user during the data discovery phase and the decision making phase. With the Insight Advisor we can search a governed library of familiar business terms that produce multiple insights for you to explore instead of a just a single presentation of data. Taking this one step further, the new Qlik Cognitive Engine not only learns from the data, but your behavior as well, allowing you to teach the Cognitive Engine so it produced significantly relevant insights for you to explore.
However please take in mind, in the same way we can not expect that Alexa is responding you well to anything we ask, we cannot pretend or handover all our data to the Insights Advisor and expect we can get ALWAYS meaningful insights out of our data. We may get lucky, but in many cases we’ll get nonsense back.
What I would like to see?
Personally I am really curious if Qlik will going to open the Qlik Cognitive Engine also for the developers by exposing some API’s, which will make things quite interesting when it comes to build up new solutions in the world of Data and Analytics. Looking forward to see something on that point. Additionaly I hope that Qlik will create a really fully integrated platform with all the new tools acquired as hopping from one tool to another is quite annoying, which will also make the life for us Consultant and Customers easier. I think we still need to wait a bit that Qlik is digesting all this new acquisitions and bringing out a meaningful strategy realted to this product. Still a lot to do but I think Qlik is moving in the right direction as market leader when it comes to BI and Analytics solution to build a really complete platform for data integration, data provision and analytics. Following the motto we are not just playing following the rules, but we are making them :-).
Finally in conclusion of this article a short video by Qlik Joe Good which in my opinion is a good summary of the new features and capabilities of Qlik for 2019.
Soon on my blog you will find a fully dedicated post to Qlik Core and the Engine API. Together with Alexander Torngren we have developed a React based webapp on top of Qlik Core using Docker and Containers. We will share our experience and our journey which has started at the Mastersummit in Sweden and has last till now.