Systems | Development | Analytics | API | Testing

In certain sectors, such as healthcare data is not just valuable—it's SACRED. The same goes for data analytics in the healthcare sector, where the stakes are incredibly high. Healthcare data analytics consists of the systematic analysis of any health-related data that can be used not only to improve patient care, but also to find a way to improve healthcare ops and make informed decisions based on the analysis of said data.

The digital landscape is changing. More and more, consumers are realising the importance of data privacy. This shift in mindset is something businesses must attune to if they hope to build strong relationships with their customers. The phasing out of third-party cookies by Google at the end of 2024 and global regulations like GDPR and CCPA tightening data collection mean companies that embed privacy as a core part of their operations have the most to gain.

At Countly, we’re passionate about empowering businesses and developers with analytics that work everywhere - even when the internet doesn’t. In a world where applications and devices don’t always stay connected, we’ve built robust capabilities to track user behavior and performance, no matter the scenario. From IoT gadgets in remote locations to industrial systems in secure facilities, we ensure you never miss a data point.

When people search for "best analytics tools," they usually find lists that include the same names: Depending on the month, some new or unexpected names may also appear. Regardless, they typically lead to a quick summary, showing off their respective pros and cons for each, and a link to their pricing pages. Useful basic information, sure, but what they do not do is show what matters most: Showing what your team needs to own, understand, and protect.

Most companies believe they own their customer data. Most are wrong. Data is your most powerful asset for fueling decisions, improving customer experiences, and providing a competitive edge. But if your customer, marketing, or product teams rely on third-party analytics tools, there’s a great chance you don’t actually own your data. It’s processed, stored, and sometimes even monetized by vendors who decide your access and control levels.

Anyone who has tried to build a recommendation engine or a churn predictor knows the moment the excitement fades. The prototype looks good in the notebook, but the training data contains typos, half-missing properties, and events that somehow morphed between different devices. The model stumbles, engineers lose faith, and everyone wonders where all that AI magic went.

It’s not every day you get to zoom out and talk about the why behind what you’re building. That’s exactly what Countly’s CEO, Onur Alp Soner, did recently on The SaaS Podcast—a conversation that turned into part reflection, part therapy, and part roadmap. The episode dives into the early days of Countly—when it was just a Hacker News post, a stubborn belief in data ownership, and a string of long nights spent building in open source.

Have you ever felt personally offended by a 4-star review, even after giving 110% to your customers? You’re not alone. Even the smallest product hiccup can spark a Reddit thread or a sarcastic TikTok. Getting customer engagement right is more challenging and important than ever. You will likely face ongoing challenges in customer engagement with new and evolving expectations, and meeting these needs is vital to fostering brand loyalty.

Are you leading the development or marketing of an app or website that involves protected health information (PHI)? If you have not heard the term before, PHI involves information related to an individual’s health status, healthcare, and healthcare payments. The Health Insurance Portability and Accountability Act (HIPAA) protects said individuals and their health-related information, which you must comply with before progressing further with your product or service.

If you’re building AI systems—whether for personalization, fraud detection, or predictive analytics—you already know the brutal truth: your models are only as good as the data you feed them. Enter Countly, an analytics platform that doesn’t just collect user data but transforms it into rocket fuel for AI. This isn’t about explaining what Countly does (AI can do that for you).