Analytics teams shouldn't need a separate data science stack to run statistical tests, build predictive models, or apply probability distributions. This collection of IPC Global cheat sheets gives Qlik practitioners everything they need, from AutoML algorithms and distribution functions to hypothesis testing and a full research methodology to do serious science inside Qlik Cloud. One platform. Four capabilities. Zero excuses.

U.S. research institutions are operating with compliance frameworks built for a threat landscape that no longer exists. People's Republic of China-origin funding, even when fully lawful and properly disclosed, creates institutional vulnerabilities that disclosure forms alone cannot detect or prevent. This briefing gives university presidents, compliance officers, and federal agency leaders the evidence, the pattern model, and the technology roadmap to act before the next enforcement notice arrives.

Rising cloud costs, fragmented data environments, and the growing demands of AI workloads are pushing enterprises to rethink their data infrastructure from the ground up. This Nucleus Research analyst report, based on interviews with real Qlik Open Lakehouse customers, quantifies the operational and financial returns of adopting an open, Apache Iceberg-based lakehouse, and the numbers are compelling. If your organization is still managing legacy data warehouses or DIY Iceberg setups, this report shows exactly what you're leaving on the table.

Fragmented, siloed data is the single biggest obstacle to enterprise AI and the open data lakehouse is the architecture built to solve it. This ISG Research white paper, sponsored by Qlik, examines how Apache Iceberg-based lakehouses unify batch, streaming, and unstructured data into a single governed platform that powers both BI and AI at scale. For data leaders evaluating their next architecture investment, this is the evidence-based case for making the move.

Generative AI can build a dashboard in minutes. But for state and local government IT leaders, building a chart is only 10% of what enterprise analytics actually requires. This research paper delivers a 24-capability gap analysis across seven dimensions, from data accuracy and security to regulatory compliance and total cost of ownership, examining what public sector organizations actually inherit when they replace a governed analytics platform with AI-generated custom applications.

Most organizations already know what is happening in their business, the real competitive edge lies in understanding why. This eBook walks business leaders and analysts through how Qlik AutoML automates machine learning to surface hidden patterns, predict outcomes, and recommend actions without requiring a data science background. If your team is ready to move beyond dashboards and into true predictive and prescriptive intelligence, this is your roadmap.

When analytical decisions hinge on rigorous hypothesis testing, the tools you trust must meet the highest standards. This research paper demonstrates that Qlik analytics produces two-sample t-test results that align with R, the gold standard of statistical computing, across diverse scenarios, sample sizes, and variance assumptions. For organizations already using Qlik, this is evidence that your platform is ready for serious statistical work.

Most organizations use Qlik for business dashboards, but its analytical depth goes far beyond reporting. This white paper introduces IPC Global's methodology for conducting rigorous scientific research entirely within Qlik, covering everything from ETL and hypothesis testing to machine learning deployment and SHAP-based model explainability, all grounded in the three fundamental pillars of science: falsifiability, replicability, and generality.

When the same analytics project was scoped for both Qlik Cloud and Microsoft Power BI, the numbers told a clear story: Qlik delivered the full solution in 164 development hours versus 274 for Power BI, at an annual software cost of $34,200 versus $64,236. This use case study puts both platforms through identical real-world requirements, 20 data tables, 5 dashboards, machine learning, and 125 users, and breaks down exactly where the cost and complexity gaps emerge.

Feature checklists and vendor demos can't tell you how a BI platform actually performs when 50 users are hitting it simultaneously with real data. The BARC Benchmark can and the results are striking. This independent research report puts Microsoft Power BI and Qlik through identical real-world enterprise conditions, measuring what actually drives business value: productivity, scalability, and consistency under load.

Up to 87% of data science projects never reach production, and 60–80% of analytics investments end up as unused "shelfware." The culprit isn't your platform, your data, or your visualizations, it's the absence of a deliberate adoption strategy. This white paper exposes the real reasons analytics efforts fail and delivers a proven six-element blueprint to turn underused dashboards into indispensable decision-making tools.

Poor data quality costs organizations an average of $12.8 million per year according to Gartner, and with data volumes growing exponentially, that figure will only climb. This definitive guide cuts through the myths, maps the real dimensions of data quality, and delivers a practical six-step framework so every team in your organization can stop firefighting bad data and start competing on trusted insights.

School districts are drowning in data but starving for insight, and the gap between the two is costing students interventions they need, leaders decisions they can trust, and districts millions in misallocated funding. This white paper exposes the systemic root causes of K-12 data quality failure and delivers a proven, phased roadmap to turn fragmented data into a strategic engine for student success.

State agencies administering SNAP are sitting on a ticking financial time bomb, skyrocketing payment error rates are about to trigger unprecedented federal cost-sharing penalties. This white paper lays out exactly what's at stake, why traditional approaches are failing, and how data analytics can turn a compliance crisis into a competitive advantage for forward-thinking state leaders.