I’ve had the pleasure to participate in a few Commercial Lines insurance industry events recently and as a prior Commercial Lines insurer myself, I am thrilled with the progress the industry is making using data and analytics. However, I do not think Commercial Lines insurance gets the credit it deserves for the industry-leading role it has played in analytics. Commercial Lines truly is an “uber industry” with respect to data.

Natural language query (NLQ) is fundamentally a feature designed to democratize self-service analytics, and help make it more pervasive throughout the organization.

Interested in learning about different technologies and methodologies, such as Databricks, Amazon EMR, cloud computing and DataOps? A good place to start is reading articles that give tips, tricks, and best practices for working with these technologies. Here are some of our favorite articles from experts on cloud migration, cloud management, Spark, Databricks, Amazon EMR, and DataOps!

Erin Byrne is a Senior Customer Solutions Engineer at Qlik and shares her practical advice to successfully divest your SAP systems. Erin has worked with SAP systems for over 20 years, has built more than 100 SAP systems and managed in excess of 30 divestiture projects.

The latest United Nations IPCC report paints a sobering picture. Climate change looks likely to accelerate in all regions as we approach the critical global warming threshold of 1.5°C. Such an uptick in temperatures will increase sea level rise and intensify the frequency and magnitude of extreme weather events. For cities, these changes will make governance more difficult in nearly every respect.

A performance report delivers a plateful of benefits. Here are 9 examples of how these reports helped SaaS experts improve their product.

Data is the lifeblood that runs through your organization. It powers automated workflows, gives customer service reps the full story every time the phone rings, drives every upgrade planned for a product, informs decision-making leaders on what to focus next, and an endless list of etceteras. Wouldn’t it be amazing to have all your data in one place? Yes. Can you? Well…. It’s complicated.

Raw data—like unrefined gold buried deep in a mine—is a precious resource for modern businesses. However, before you can benefit from raw data, the process of data transformation is a necessity. Data transformation is the process where you extract data, sift through data, understand the data, and then transform it into something you can analyze. That’s where ETL (extract, transform, load) pipelines come into play.