Systems | Development | Analytics | API | Testing

The business intelligence dashboard, also referred to as BI dashboard or business dashboard, is an important data analytics tool for aggregating, accessing and analyzing operational metrics and key performance indicators (KPIs). Business intelligence dashboards allow your organization to display its most important information on one screen, and share data and insights quickly for strategic planning and decision-making.

What can quality assurance (QA) teams expect in 2025? This article will cover what software testing trends QA teams should prepare for to succeed this year.

Suppose you launch a new app after months of development and find out users complaining about crashes and slow performance. This is every software team’s nightmare in 2025, and exactly what quality assurance (QA) testing is used for.

System UI is the visual elements and interactive components built into an operating system for users to navigate and interact with it. The system UI is responsible for how the OS looks, feels, and functions. It is a bridge between the user and the system.

Event tracking is critical to product analytics, providing deep insights into how users interact with your product. It involves monitoring and analyzing specific actions (events) users take within your application or website. These insights are pivotal for enhancing user experience, improving product features, and driving growth.

New AI and Machine Learning (ML) solutions have become one of the most powerful tools in today’s technology stacks. These support the ability to process and analyze vast amounts of data to identify patterns and to make forecasting more reliable. AI has been driving innovation in healthcare, finance, and retail. Now, it's beginning to revolutionize the field of software engineering. This article shares some of our innovations in applying AI to software engineering processes.

Sales reps dedicate just two hours each day to active selling, according to HubSpot research. At Snowflake, our sales team found they were wasting 10 to 15 minutes searching for the right content every time they needed to answer a single question, like “Can you explain how Snowflake handles data integration from various sources?” Valuable content was scattered across different platforms, forcing employees to hop between various tools to assemble the right information.

In Today's digital-first business world, startups handling customer data must put security and trust first. Without proper security controls, a breach in data can cost an average of $4.45 million, as per IBM's Cost of a Data Breach Report 2024. For startups, these breaches would be devastating—not only economically but also reputationally and in the loss of customers.

If you ask any advertiser about the most disruptive factor in recent years, they’ll probably hesitate between two contenders: privacy and AI. While AI is poised to have a transformative impact far beyond advertising in the future, one thing is certain: No organization today can address use cases involving consumer data without prioritizing privacy. Before we dive into the world of data clean rooms, let’s take a quick trip back in time to set the stage.

“Quality First” sounds like it could be a generalised marketing platitude to promise customers everything and nothing. But what happens when a business adopts an aggressive focus on implementing high quality across every level of their organisation? That’s exactly what a quality-first culture entails. More than simply developing great products and services, a quality-first organisation embeds excellence through all their processes.