Qlik Predict & Analytics Accelerator

ASHLIN’s Qlik Expert Services deliver certified expertise in application development, data modeling, and ETL scripting. We also offer end-to-end support through solution design, project management, and environment engineering to ensure the success of your Qlik deployment.

Ensuring trusted, high-quality data is foundational. Through our partnership with Talend, we help clients assess, cleanse, and govern data before it powers their Qlik dashboards, because reliable insights start with reliable data.

Our team provides tailored dashboard development and predictive analytics using Qlik on AWS, helping public sector clients leverage EC2, RDS, and S3 to modernize data workflows and enhance decision-making. We also support deployment and optimization of Qlik Sense Enterprise via AWS Marketplace.

Activities

• Conduct data readiness assessment (accuracy, completeness, model compatibility)

• Identify and prioritize candidate predictive use cases (e.g., churn, fraud, grant depletion, caseload risk)

• Deploy Predict experiments using Qlik's native machine learning interface

• Build and train ML models for classification, regression, or clustering

• Create integrated dashboards with embedded predictive insights

• Train client teams on how to use Predict tools, interpret results, and re-run experiments

Deliverables

• AI-ready dataset cleaned and structured for training

• One or more trained machine learning models deployed inside Qlik Sense

• Custom dashboards visualizing key predictive indicators (e.g., probability scores, drivers of risk, trend forecasts)

• Deployment guide: scoring logic, model refresh schedule, data flow diagram

• Training materials and optional workshop on Qlik Predict usage

• Executive summary of findings and next-step recommendations

Outcomes

• Proactive insights into emerging risks, behaviors, and trends (e.g., citizen churn, staff burnout, provider compliance flags)

• Enhanced efficiency through automation of routine forecasting and triage

• Faster, more confident decision-making based on predictive signals

• Internal capability uplift for your team to re-use Predict in other domains