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2020: A Continuous Focus on Data and Analytics Innovation

Despite the challenges COVID-19 brought to the world this year, Qlik continued to innovate – integrating new capabilities directly to our core offerings in the areas of alerting, augmented analytics and conversational analytics. We also continued to enhance our solutions in the direction of making data less passive and more active, and made key acquisitions like Knarr Analytics and Blendr.io, continuing our journey of delivering a true end-to-end solution that enables Active Intelligence.

2020: A Continuous Focus on Data and Analytics Innovation

Despite the challenges COVID-19 brought to the world this year, Qlik continued to innovate – integrating new capabilities directly to our core offerings in the areas of alerting, augmented analytics and conversational analytics. We also continued to enhance our solutions in the direction of making data less passive and more active, and made key acquisitions like Knarr Analytics and Blendr.io, continuing our journey of delivering a true end-to-end solution that enables Active Intelligence.

Democratizing Machine Learning Capabilities With Qlik Sense and Amazon SageMaker

The ability to discover insights from past events, transactions and interactions is how many customers currently utilize Qlik. Qlik’s unique approach to Business Intelligence (BI) using an in-memory engine and intuitive interface has democratized BI for typical business users, who usually have little to no technical savvy. But, for many years, organizations have only been able to analyze metrics or KPIs of “what has happened” (i.e., descriptive analytics).

Democratizing Machine Learning Capabilities With Qlik Sense and Amazon SageMaker

The ability to discover insights from past events, transactions and interactions is how many customers currently utilize Qlik. Qlik’s unique approach to Business Intelligence (BI) using an in-memory engine and intuitive interface has democratized BI for typical business users, who usually have little to no technical savvy. But, for many years, organizations have only been able to analyze metrics or KPIs of “what has happened” (i.e., descriptive analytics).

Beware of Creating a New Legacy of Artificial Intelligence Silos

Although the issue of silos in IT and data management are well known, companies appear to be falling back into this trap by not distributing their artificial intelligence (AI) and machine learning (ML) capabilities across their business. New research from Qlik and IDC revealed that just 20 percent of businesses widely distribute these capabilities across the organization.

Beware of Creating a New Legacy of Artificial Intelligence Silos

Although the issue of silos in IT and data management are well known, companies appear to be falling back into this trap by not distributing their artificial intelligence (AI) and machine learning (ML) capabilities across their business. New research from Qlik and IDC revealed that just 20 percent of businesses widely distribute these capabilities across the organization.

Want Post-Pandemic Business Success? Embedded Analytics is the New Normal

With COVID-19, it has become clear that ideas and assumptions that worked in the past will no longer apply now and in the future. The region is expected to face its deepest economic slowdown since the 1970s due to COVID-19. Businesses might be wondering what to do next.