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NO-CODE MACHINE LEARNING

Qlik Predict: Predicting the Future Instead of Analyzing the Past

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Stop relying on historical data alone. Qlik Predict is a no-code ML solution that enables analysts to generate accurate forecasts and integrate predictive insights directly into decision-making. The platform automatically selects the best algorithms to classify outcomes or forecast trends, revealing the key drivers behind every prediction without requiring data science expertise or coding.

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No-Code Machine Learning

Through guided workflows, Qlik Predict allows every analyst to use data science, connecting diverse data sources, defining the target variable relevant to the business, and automatically creating customized machine learning models. The platform continually fine-tunes the algorithms ensuring maximum accuracy, without needing to write scripts or manage complex code.
  • Rapid Development: Builds predictive models in minutes instead of weeks.
  • Model Automation: Automatically selects and fine-tunes the most accurate algorithm.
  • Accessible AI: Puts predictive capabilities in the hands of business analysts.

Explainable and Transparent AI (Explainable AI)

One of the biggest barriers to using AI is the “black box effect”. Qlik Predict solves this issue through complete transparency: the platform uses SHAP-based visualizations that clearly show which factors influence each prediction and the weight of each data point. This level of transparency allows decision-makers to understand the logic behind the model, build trust in the data, and create targeted strategies.
  • End to the Black Box: A clear understanding of the factors that influence every outcome.
  • SHAP Visualizations: A graphic display breaks down the model’s logic.
  • Building Business Trust: Transparency that allows managers trust and act on forecasts provided.

Fully Integrated Analytics Environment (Unified Intelligence)

Unlike external AI tools that require clunky data transfers and integrations, Qlik Predict operates as an integral part of Qlik Cloud Analytics. This means data preparation, model training, and prediction generation are all performed in the same secure, governed environment. Users can embed the generated predictions directly into existing Qlik Sense apps and run “What-if” scenarios against the organization’s real data.
  • One Unified Environment: Train models and explore data on the same platform.
  • What-if Scenarios: Run dynamic simulations within the dashboard to test future impact.
  • Built-in Governance: Centralize security and access management without risking data.

How Organizations Drive Results with Qlik

  • Financial Services (Integra Financial Services): Accelerated predictive model development by 80% and implemented an automated risk scoring and lead filtering system, resulting in operational savings of over $1 million.
  • Healthcare (Appalachian Regional Healthcare): Leveraged predictive analytics to anticipate patient behavior patterns and significantly reduce last-minute (appointment) cancellations.
  • Credit and Collections (National Credit Adjusters): Deployed advanced Qlik Predict models to streamline collection processes, enable smarter decision-making, and improve the operational agility of the entire organization.

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