Qlik's Global Study Finds Investment in Data-to-Insights Capabilities Results in 21% Increase in Revenue

Qlik | June 17, 2020

  • Organizations That Invest in Data-to-Insights Capabilities Benefit from Better Decisions And Improved Outcomes, Including 21% Increase in Revenue.

  • Organizations are inundated with data, and many are struggling to maximize the value of that data since it’s flowing through unintegrated and leaky data pipelines.

  • Companies in the survey with the highest demonstrable data-to-insights capabilities, resulting in strong data pipelines that drive better decisions, see significant bottom line impact.

Qlik® today announced a global study that shows organizations that strategically invest in creating data-to-insights capabilities through modern data and analytics pipelines are seeing significant bottom line impact. The global IDC survey, sponsored by Qlik, of 1,200 business leaders* shows that companies with a higher ability to identify, gather, transform, and analyze data to glean insights benefited from higher quality decision making and better business outcomes, including improved operational efficiencies, increased revenue and increased profits.

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Organizations are inundated with data, and many are struggling to maximize the value of that data since it’s flowing through unintegrated and leaky data pipelines. The research shows a direct relationship between creating stronger data-to-insights capabilities through data pipeline investments – ones that successfully deploy data management and analytics solutions to close pipeline gaps – to decision making that drives business outcomes.

• 86% of organizations in the top half of those surveyed with the best data analytics pipelines also get the highest decision-making scores
• 67% of organizations in the top half of those surveyed with the highest decision-making scores had the highest business outcomes scores

Even in these challenging economic times, CEOs at major enterprises are continuing to invest in their data pipelines to close the gaps and enable their organizations with more high quality and valuable data for decisions. These leaders are increasing their enterprise intelligence quotient by automating the data preparation cycle through technology, giving employees the vital tools and time needed to analyze data for impactful insights that create real business value.

- Dan Vesset, Group Vice President, Analytics and Information Management at IDC

Companies in the survey with the highest demonstrable data-to-insights capabilities, resulting in strong data pipelines that drive better decisions, see significant bottom line impact.

• 76% said operational efficiency improved by an average of 21%
• 75% said revenue increased by an average of 21%
• 74% said profit increased by an average of 22%

The challenges to deploying data pipelines that drive better decisions and business outcomes are significant. Organizations are dealing with complex and varied data types and sources, which can leak through data and analytics pipeline gaps. Of those surveyed, over 60% experienced significant challenges in assessing the value of data and identifying valuable data sources, often due to a lack of a data catalog. And over 42% surveyed identified assuring data correctness as a main challenge when processing or transforming data for analysis.

So even as organizations invest in techniques like machine learning and AI to enhance insight generation and analysis, it’s clear that the success of these investments is highly dependent on having an agile, automated and agnostic data pipeline that closes the gaps by working across any cloud, system and data source in real-time. Only by closing these gaps to eliminate data leaks can organizations transform their data pipelines to provide continuous and reliable enterprise-ready data that drives action and outcomes.

Organizations must close the gaps in their leaky data pipelines to consistently transform their data into ongoing and real business value. Our unique end-to-end approach to data integration and analytics gives organizations the ability to improve their data-to-insights capabilities at the speed of business for greater responsiveness and better outcomes.

- James Fisher, Chief Product Officer at Qlik

Qlik’s data integration and data analytics platforms, together with its data literacy as a service offering, deliver the industry’s only end-to-end approach to Active Intelligence. Unlike traditional BI, Active Intelligence realizes the potential in data pipelines by bringing together data at rest with data in motion for continuous intelligence derived from real-time, up-to-date information, and is specifically designed to take or trigger immediate actions. This eliminates data leaks by closing the gaps from relevant to actionable data (Qlik Data Integration), actionable data to actionable insights (Qlik Analytics) and from investment to value (Data Literacy as a Service).

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About Qlik:

Qlik’s vision is a data-literate world, one where everyone can use data to improve decision-making and solve their most challenging problems. Only Qlik offers end-to-end, real-time data integration and analytics solutions that help organizations access and transform all their data into value. Qlik helps companies lead with data to see more deeply into customer behavior, reinvent business processes, discover new revenue streams, and balance risk and reward. Qlik does business in more than 100 countries and serves over 50,000 customers around the world.


Python is the fastest-growing data science language and is used in production at many of the Fortune 500 companies for everything from software engineering to data engineering to rapid analytics. Despite its easy-to-learn nature and its simple syntax, Python packs surprising amounts of power and performance right out of the box. For instance, many of the newest innovations in the big data ecosystem, such as columnar storage, dataflow programming, and stream processing, can all be expressed in a relatively straightforward manner using Python.

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