Systems | Development | Analytics | API | Testing

Enterprise Data Consolidation: Your Comprehensive Guide

Organizations tend to accumulate data systems the way cities accumulate roads—one at a time, for specific purposes, typically with little consideration for how they’ll eventually need to work together in the future. Customer records sit in five CRMs. Financial data spans three ERP systems. Operational metrics scatter across dozens of legacy databases. The infrastructure works. Each system performs its designated function.

Zero Downtime Data Migration: A Real-World Healthcare Blueprint

Patient care systems don’t shut down for maintenance. Emergency rooms process admissions at 3 AM. Surgical units access medical histories mid-procedure. Yet healthcare organizations still face a persistent challenge: moving years of clinical data, billing records, and operational systems to modern platforms without interrupting any of these critical functions. This operational reality creates a specific technical problem.

Coming Soon - Passing Dynamic Selections - Taking Action On Your Data - Qlik Automate & Qlik Cloud

In the works: Part 4 of the Do More with hashtag#Qlik Taking Action on Your Data series! This chapter dives into how you can be proactive with your analytics — dynamically passing discovered insights from Qlik Analytics into Qlik Automate. Qlik automations can trigger any backend process — helping you close the loop between insight and action. From notifications and approvals to system updates and workflows, you’ll see how intelligent, action-driven dashboards can do more than visualize data — they can actually move business forward.

Snowflake: The Platform For The AI Era

The age of AI has arrived, bringing unprecedented opportunities and complex new challenges. The Snowflake AI Data Cloud is the unified platform and connected ecosystem built for this new era of innovation. Our platform empowers organizations to break down silos, activate their data and build powerful AI applications with speed and trust. Join us and discover why Snowflake is the place where data does more.

What is Data Warehousing? Concepts, Features, and Examples

In today’s business environment, an organization must have reliable reporting and analysis of large amounts of data. Businesses collect and integrate their data for different levels of aggregation, from customer service to partner integration to top-level executive business decisions. This is where data warehousing comes in to make reporting and analysis easier. To understand the importance of data storage, let’s first discuss the important data warehousing concepts.

Break the Boundaries Between Product and UX with Embedded Intelligence

For years, product teams from software companies have faced the same uphill battle: deliver analytics that hopefully fulfill their customers’ expectations while keeping their own roadmaps on track. Too often, the result is static dashboards tacked onto an application—uninspiring, difficult to maintain, and disconnected from user workflows. Meanwhile, customer expectations have evolved. They want analytics that feels alive, intelligent, and seamlessly part of the products they use every day.