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Qlik's Top 10 Trends for 2019

Did not get the chance to watch Qlik’s Top BI trends or 2019, do not worry as David Anderson, our UK MD, has summarised the key highlights below. And there is also a chance to watch the webinar as well. Have a read and join in the conversation on LinkedIn .

As a self confessed Qlik and Business Intelligence (BI) addict, I eagerly await what I believe, to be the most influential and important webinar of the year. It’s the annual communication from Qlik as to what the BI looks like and its direction for the year. Importantly, it also summaries the company direction better than anything else they publicly release.

This year, Dan Sommer (Senior Director for Market Intelligence) titled the webinar “The Dawn of Postmodern Analytics”. This really is the vision and vision that 2019 sees the move from the modern analytics space to an entirely new future of analytics.


10 trends, that point to the Postmodern platform, for the BI of the future:

My view is that Qlik have really hit the mark on all 10 of these trends, and if they are able to execute on them in 2019, we will see a great transformation of the BI market and how analytics are consumed.

Is it all moving to the cloud?

In summarising the trends, I believe that 1 , 2 and 4 really belong together. The data migration to the cloud we have seen over the last few years has been prolific, and is not slowing down any time soon. This shift to the cloud is permitting organizations to not only distribute data storage and computing power but workloads as well. The emergence of microservices, such as Kubernetes, brings about the ability to scale and disperse workloads, while making use of both the elasticity of the cloud when it comes to performance, as well as edge computing.

It was interesting to know how consumers or analytic / BI systems have a performance as not a critical measure (as it was back in the traditional BI space). The Postmodern era is sure to change this!

Centralized data v Single View

Interestingly this leads into the next trend around centralized data for single view of all data ( trend 3 ). I guess it’s no surprise that a large amount of resource has been used (wasted) on the unsuccessful setup of huge data warehouses and data lakes over the last few years. I personally have Hadoop projects which have just become cheap storage solutions! Post review of these projects and the evolution of the BI tools in the market are now seen as a theme 24 months ago (from memory) or “leaving data where it belongs” and using the power of BI tools to index, catalog, and standardize this data for consumption. Not only does this make economic sense, but also allows for faster decisions, better performance and utilization of distributed computing.

Is AI going to rule the world?

Embedded Analytics and AI (trends 5 and 6) also made the hot list for 2019. It was interesting to hear how embedded analytics are used in process shaping and refinement, especially when linked to AI or machine learning pathway. As these trends become more mainstream, the view is that intelligent process automation and process mining will help automate business processes and make them more efficient. This efficiency gained through the process will allow AI to make analytics more human. Far from the fear that “AI is taking our jobs away”, it will allow us to make better use of these efficient processes and spend more time analyzing data. This links back to the true meaning of AI being Augmented Intelligence rather than Artificial Intelligence!

Are you data literate?

This leads nicely into trends 7 and 8 . It’s no surprise that data storytelling and conversational analytics are the future, with the days of static PowerPoint (sorry Microsoft) on the decline. But this trend has a huge dependency or course on data literacy . Organizations that focus attention on data literacy have benefited from better performance, higher profits and greater market capitalization. Just look at what happened on the planet when it comes to the largest companies on the planet:


It’s those that embrace data, have a high appetite for data literacy ingrained in their ethos, that’s on top today. The notion that data literacy will become a KPI for an organization seems to be very likely and the idea of ​​conversational analytics becoming mainstream. The natural language generation (NLG) natural language query (NLQ) and natural language processing (NLP) are empowering users or all levels of data analysts in some capacity or another.

Innovation, innovation, innovation

Finally trends 9 and 10 which address the notion of the platform with emphasis on open APIs and external innovation close to the 2019 list.

Co-innovation was really key here, and platforms that allow customers, partners and users to contribute and innovate is where the future is headed. Whilst those who work in an organization know the business and their product, they are not the best when it comes to innovation and whether their resource is finite. Allowing external input allows for infinite amount of innovation. Qlik predicts that innovation from open platforms and ecosystems will outpace those with only internal capabilities by a factor of 2x.

Similarly, Qlik also discusses the notion that platforms will evolve into systems that we interact with them. Gone are the days where people are the only participants, with the evolution of bots, intelligent agents, extensions and algorithms and working alongside.

It is this open platform / system approach that leads us into 2019, and the start of a very exciting era of Postmodern Analytics. If you have the time, I really recommend everyone to watch Dan’s presentation, and look through the e-book.


UK Managing Director
+44 203 858 0668

David Anderson

Senior Consultant
+31 6 817 898 97

Stef Comello


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