Forecast Smarter with Multivariate Time Series in Qlik Predict

Accurate forecasting is one of the hardest problems for analytics teams. Demand shifts, supply chain constraints, and external factors like weather or pricing often interact in ways that simple models cannot capture. With the release of multivariate time series forecasting in Qlik Predict, business analysts can now model how multiple variables evolve together over time, directly inside Qlik Cloud, without writing code.

Keller Postman's Journey To Data Driven Growth

As businesses grow, so does the complexity of their data. Teams often juggle multiple CRMs, finance systems, marketing platforms, and custom apps, only to end up with fragmented insights, rising costs, and frustrated stakeholders. In this webinar, Sorin Petrea, Director of Data Engineering at Keller Postman LLC, shares how his team unified data across dozens of sources, empowered 400+ users with self-service BI, and turned data into a lever for better decision-making.

JDBC Drivers and Types: Enabling Reliable Java Database Connectivity

JDBC (Java Database Connectivity) drivers are the bridges that let Java-based applications interact directly with relational and cloud databases. Whether connecting an enterprise ERP built in Java to Oracle Database, a Spring Boot microservice to PostgreSQL, or a data ingestion pipeline to Snowflake, JDBC drivers ensure a consistent and secure data exchange layer.

Types of Dashboards: Operational, Strategic, Analytical & More

You need dashboards to turn big data into quick, smart decisions. But with operational, strategic, and analytical dashboard options, choosing the right one is crucial for BI success. This post cuts through the confusion to reveal which types of dashboards are the absolute best fit for your organization.

Iceberg 101: Working with Iceberg Tables

Apache Iceberg has rapidly become the leading open table format for modern data lakehouses, enabling organizations to combine the cost-effectiveness of data lakes with the reliability and performance of data warehouses. However, successfully implementing and managing Iceberg tables at enterprise scale requires understanding both the technical fundamentals and the operational complexities involved. This guide walks through the essentials of working with Iceberg tables, from creation to optimization.