When was the last time you made a major business decision and were completely certain the data behind it was accurate, complete, and trusted? For most organizations, that certainty is less common than it should be. Qlik and Amazon Quick together solve one of the biggest obstacles to AI adoption: knowing whether you can trust the output.
|
By James Fisher
Earlier this month I spent time with a group of senior executives discussing the economics of AI: what it actually costs, where the value is and is not materialising, and what the organisations that are getting returns are doing differently from the ones that are not. That conversation encapsulates why this series is called Beyond the Budget. Not because cost does not matter. It does. But because the budget is where the consequences show up.
|
By James Fisher
In the first part of this series, I argued that discernment, the ability to recognise when an AI-generated answer is wrong, is becoming one of the most valuable capabilities inside an organisation. The question this piece addresses is simpler and harder: who is actually being given the opportunity to develop it? The AI opportunity gap is real. It is not primarily a gap in access to tools. It is a gap in permission. And I believe that gap starts earlier than most leaders realise, often in school.
|
By Angelika Klidas
One thing has become increasingly clear to me: the businesses that thrive in the AI era won't be the ones with the most data, they'll be the ones where every employee knows how to use it. The World Economic Forum's 2025 Future of Jobs Report names analytical thinking as the top core skill companies need today, and a 2024 Gartner survey found poor data literacy to be one of the top five obstacles to analytics success.
|
By Julie Kae
Looking back on 2025, one idea anchors everything we set out to accomplish: make data accessible and trusted so organizations can generate better decisions for their business, their customers, and the world.
|
By James Fisher
For more than a decade, I have argued that the most valuable skill in a data-driven organisation is not access to information. It is the judgment to know when that information is wrong. AI has made that skill more important, not less. When I wrote about AI literacy in 2023, the pushback I heard most often was that the technology was not yet good enough for the question to matter. Now it is. AI can generate answers, summaries, recommendations, code, analysis, and increasingly, actions.
|
By Brittany Fournier
The future of data analytics and AI education has just become even more accessible. The Qlik Academic Program is excited to announce a major upgrade to Qlik Product licenses available for educators and students worldwide. Participants in the program will now receive access to Premium Qlik Cloud Analytics and Premium Qlik Talend Cloud, providing an even more powerful environment for teaching, learning, and innovating with data.
|
By Brendan Grady
We are excited to share that Qlik has been recognized as a Leader in the 2026 Gartner Magic Quadrant for Analytics & Business Intelligence Platforms, recognized for both our Completeness of Vision and Ability to Execute. Download the complimentary report here. Sixteen years. Our Sweet Sixteen, if you're counting. I'd argue it's less a milestone for us and more a proof point.
|
By Jason Hall
One line from Snowflake Summit 2026 stood out above everything else. Christian Kleinerman, EVP of Product at Snowflake: "We do not want any of you spending money with Snowflake, in any use case, if you are not getting more value in return." It's a refreshing commitment, and it points directly at the cost efficiency conversation we've been having with customers around open lakehouse architectures. Here's the core argument: data movement doesn't directly generate value.
|
By Josh Good
There's a pattern we see repeatedly in enterprise AI projects. A team identifies a compelling use case. They build the model. They staff the project. Then they spend the next six to eighteen months trying to solve a problem that was never on the roadmap: their data isn't ready. Not because it doesn't exist. It exists everywhere: in cloud warehouses, on-premises databases, SaaS platforms, and data lakes across multiple regions.
|
By Qlik
With the Data Quality Agent in Qlik, AI can guide data engineers through a full dataset quality assessment using natural language prompts. The agent can identify trusted catalog definitions, generate intelligent data quality validation rules, and provide transparent reasoning behind every recommendation.
|
By Qlik
With Declarative Pipelines in Qlik, teams can use tools like Claude Code, GitHub Copilot, and integration with VS Code, to build and update Qlik Talend Cloud data integration pipelines using natural language prompts.
|
By Qlik
With the Data Product Agent in Qlik, AI can automatically generate curated Data Products using trusted catalog definitions, datasets and metadata. It defines the specification, contract, and reasoning behind the data, while also providing action confirmation before anything is changed.
|
By Qlik
Join Ouadie Limouni and Mike Tarallo on this week's Qlik Live Stream Friday for a look at Choose Your Champion 2026, an interactive World Cup prediction experience powered by. Ouadie will walk through the application, highlighting how machine learning, interactive analytics, and conversational were combined to create a unique fan experience for World Cup 2026 predictions.
|
By Qlik
Welcome to Part 7 of the “Data Products for Qlik Analytics” series! In this episode, we take Data Quality to the next level by building advanced data validation rules using IF / THEN / ELSE logic within Qlik Analytics. You’ll learn how to create conditional validation logic that evaluates relationships across multiple columns, enabling smarter and more dynamic data quality checks for your data products.
|
By Qlik
In Part 6 of the Data Products for Qlik Analytics series, we explore how to improve trust and reliability in your data products using validation rules within datasets. Learn how data validation helps enforce consistent standards, identify data issues early, and ensure higher-quality analytics across your organization.
|
By Qlik
In this video, we dive into how Click Data Products combine Data Quality, Semantic Types, and business context to create trusted, scalable, and reusable data assets. We explore how semantic types in Qlik help classify and validate data using meaningful business definitions — improving consistency, discoverability, and confidence in analytics and AI-driven insights.
|
By Qlik
In part 4 of this series, Mike Tarallo form Qlik, walks you through the core components of Qlik Datasets, giving you a clear understanding of how to navigate and interpret key features within the platform. We explore the Profile tab, Data Lineage, Impact Analysis, and Data Preview to see how each helps you better understand your data and its flow across systems.
|
By Qlik
NKT makes the “electrical superhighways” that bring renewable energy to city consumers. Its 24/7 site in Karlskrona, Sweden is the world’s largest producer of high voltage undersea cables, making operational stability vital. However, the plant faced hurdles. Data was trapped in silos, leading to intuition-based decisions with no single source of truth.
|
By Qlik
Insights to actions to outcomes Qlik Sense’s interactive user experience allows us to dynamically interact with apps to find hidden patterns and obtain meaningful insights. Qlik Automate turns those insights into actions, directly from within Qlik. In Qlik Automate you can build simple workflows to directly integrate with your 3rd party business applications or databases. This leads to meaningful and measurable outcomes.
|
By Qlik
You have access to more data than ever before. Are you truly using it to your advantage? And where are you most likely to get results when you do? Businesses around the world are using data to transform every aspect of operations - but some use cases are more powerful, and more profitable, than others.
|
By Qlik
Collecting "big data" was once big news. But companies are realizing that big data projects aren't delivering their expected ROI because building a repository is just part of the equation. Read this eBook to see how Qlik helps organizations like biopharmaceutical company Shire plc, Texas Children's Hospital, online gaming developer King.com, and more gain big insights from big data-for big impact.
|
By Qlik
Data has always held tremendous value. But for decades, most of that value has been left on the table. Complexity, technical limits, bottlenecks, and skill gaps have kept insights hidden and analytics out of the hands of business users. With the 3rd generation of BI, that's about to change.
|
By Qlik
Businesses everywhere understand a basic truth in today's economy: No enterprise can lead - or even survive - without analytics. But not all analytics platforms are created equal. Choosing the right one is essential to making discoveries that have the power to drive real change. But too often the evaluation is based on narrowly-focused criteria around just features and functions, limiting the impact analytics can bring to your organization.
|
By Qlik
Qlik Core is a new product offering for developers wanting to create and deploy analytic data-driven cloud applications at scale. Qlik Core is a developer's platform for building, deploying, extending data driven analytical applications at massive scale within any environment resulting in better user adoption, engagement and customer satisfaction.
|
By Qlik
Data-driven retailers are using visual analytics to address the 3 major shifts surrounding omni-channel retail. Three major shifts have shaken the very foundations of retail: Consumers are empowered and more demanding; supply chains must accommodate omni-channel shopping and services; and the role of stores goes far beyond converting show-roomers.
|
By Qlik
There continues to be an incredible amount of interest in the topic of Big Data. It has transcended from a trend to being simply part of the current IT lexicon. For some organizations, its use has already become an operational reality; providing unprecedented ability to store and analyze large volumes of disparate data that are critical to the organization's competitive success.
|
By Qlik
Every action a healthcare provider, payer, administrator, or patient takes creates new data. The challenge in healthcare is no longer finding data - but making it usable and actionable. This requires knowing what to do with the data you have, and understanding the relationships that exist within it.
|
By Qlik
Join Qlik's Global Market Intelligence lead and former Gartner analyst Dan Sommer to learn why 2018 is the year for the "de-silofication" of data.
|
By Qlik
Whether you are a product manager looking to get to market fast with powerful and intuitive visual analytics for your customers or a business owner looking to differentiate your solution to gain a competitive advantage we hope you will find this paper useful.
- July 2026 (11)
- June 2026 (3)
- May 2026 (6)
- April 2026 (10)
- March 2026 (5)
- February 2026 (16)
- January 2026 (10)
- December 2025 (11)
- November 2025 (13)
- October 2025 (14)
- September 2025 (10)
- August 2025 (6)
- July 2025 (16)
- June 2025 (9)
- May 2025 (10)
- April 2025 (14)
- March 2025 (10)
- February 2025 (6)
- January 2025 (12)
- December 2024 (5)
- October 2024 (2)
- September 2024 (11)
- August 2024 (6)
- July 2024 (11)
- June 2024 (10)
- May 2024 (8)
- April 2024 (5)
- March 2024 (9)
- February 2024 (10)
- January 2024 (10)
- December 2023 (9)
- November 2023 (12)
- October 2023 (4)
- September 2023 (11)
- August 2023 (8)
- July 2023 (10)
- June 2023 (12)
- May 2023 (16)
- April 2023 (8)
- March 2023 (6)
- February 2023 (8)
- January 2023 (8)
- December 2022 (13)
- November 2022 (15)
- October 2022 (5)
- September 2022 (8)
- August 2022 (12)
- July 2022 (8)
- June 2022 (8)
- May 2022 (11)
- April 2022 (13)
- March 2022 (15)
- February 2022 (9)
- January 2022 (11)
- December 2021 (21)
- November 2021 (14)
- October 2021 (15)
- September 2021 (11)
- August 2021 (9)
- July 2021 (6)
- June 2021 (8)
- May 2021 (11)
- April 2021 (5)
- March 2021 (12)
- February 2021 (11)
- January 2021 (6)
- December 2020 (12)
- November 2020 (8)
- October 2020 (12)
- September 2020 (13)
- August 2020 (9)
- July 2020 (6)
- June 2020 (8)
- May 2020 (8)
- April 2020 (10)
- March 2020 (3)
- February 2020 (7)
- January 2020 (2)
- December 2019 (1)
- November 2019 (8)
- October 2019 (4)
- September 2019 (2)
- August 2019 (4)
- July 2019 (5)
- June 2019 (5)
- May 2019 (5)
- April 2019 (11)
- March 2019 (5)
- February 2019 (12)
- January 2019 (9)
- December 2018 (4)
- November 2018 (8)
- October 2018 (13)
- September 2018 (6)
- August 2018 (8)
- July 2018 (8)
- June 2018 (8)
- May 2018 (4)
- April 2018 (3)
Qlik® delivers intuitive platform solutions for self-service data visualization, guided analytics applications, embedded analytics and reporting to approximately 48,000 customers worldwide. Companies of all sizes, across all industries and geographies, use Qlik solutions to visualize and explore information, generate insight and make better decisions.
QlikView is a proven, market-leading data discovery product that offers rapidly developed, highly interactive guided analytics applications and dashboards, purpose built for business challenges. QlikView allows users to rapidly build and deploy analytic apps without the need for professional development skills, driving faster response to changing business requirements, shorter time to value, and more insight across the organization.
Qlik Sense gives you data superpowers. Easily combine all your data sources, no matter how large, into a single view. Qlik’s Associative engine indexes every possible relationship in your data so you can gain immediate insights and explore in any direction your intuition takes you. Unlike query-based tools, there’s no pre-aggregated data and predefined queries to hold you back. That means you can ask new questions and create analytics without having to build new queries or wait for the experts.