Insurance legacy systems are often seen as one of the biggest barriers to speeding up innovation and digitalization. And the COVID-19 pandemic has made even clearer how important it is to be able to respond quickly to changing conditions, and a less physical world. So how can insurers make the most of their legacy systems and avoid creating new ones in the process?

Getting quality bugs is only half the QA battle—you need issue reports showing actual testing session insights that could negatively impact your users. And if you have skilled manual testers to help you find these bugs, the next problem becomes…how do you fix them? For that, you need contextual information about the steps and environmental conditions leading up to the bug.

In Part 1 we learned how to set up our Xplenty pipeline to work with Chartio and prepared the data source. In Part 2, we will focus on using the data Xplenty provides in the Chartio platform. If you're new to Chartio, you can read through their QuickStart docs (shouldn't take more than 5-10 minutes) to gain some familiarity.

The applications that are crucial to running almost any type of business often face a variety of challenges. Connecting applications and data with IT systems is necessary for keeping your business running successfully. Automation is critical to a variety of modern business processes and functions – having this automation achieved via APIs is becoming an ever increasing popular solution used by IT departments.

Businesses have been adopting more apps over the last decade. The right applications make it easier for them to communicate with customers, analyze data, improve efficiency, and refine their business practices. The number of apps used by businesses jumped incredibly during 2020 as the pandemic made it more difficult or impossible for employees to work from their offices. As organizations rely more heavily on diverse applications, they need reliable API management tools with self-service features.

Snowflake met with Jan Doumen, Head of Expertise for Allianz Benelux, and Naveed Memon, Program Director, Data and Analytics for Emirates, at Data Cloud Summit 2020. Read excerpts from the conversation to learn how capturing data insights in the Data Cloud brings value to their businesses. Data’s value in the 21st century is often compared to oil’s value in the 18th century. It can transform organizations, opening doors to unprecedented opportunities.

Imagine you’re going through immigration at the airport. The immigration officer says, “I don’t need your passport because I trust that you are who you claim to be.” Wait, what? That would never happen, right? That’s because trust is exploitable. Sooner or later, somebody will try to lie about who they are, and thus a criminal could enter the country. That’s why countries must enforce some form of identity, like a passport, to certify travelers are who they claim.

We are living in a time where a difference of a mere couple of seconds can make you lose your business to another company with a faster, more easily accessible web application. In such a highly competitive space, it is important to squeeze out the maximum amount of performance from your application’s software stack and hardware infrastructure.

Democratization of data within an organization is essential to help users derive innovative insights for growth. In a big data environment, traceability of where the data in the data warehouse originated and how it flows through a business is critical. This traceability information is called data lineage. Being able to track, manage, and view data lineage helps you to simplify tracking data errors, forensics, and data dependency identification.

The importance of effective data analytics within an organization is widely accepted by business leaders at this point. With use cases for data analysis spanning every department—from IT management, financial planning, marketing analytics, and so on—the right data analytics tools can have a significant impact on a company’s profitability and growth.