Now GA, BigQuery data clean rooms has a new data contributor and subscriber experience, join restrictions, new analysis rules, usage metrics and more.

While our discussions have previously highlighted the unique analytics challenges and opportunities within industries such as automotive, healthcare, and kids' gaming, today, we turn our focus to the finance sector. In this article, we’ll zoom in on analytics challenges in the finance world, and we’ll answer why Countly is exceptionally suited for product analytics in the financial sector.

The digital landscape has witnessed an explosion of APIs in recent years. These powerful tools act as the glue binding applications together, facilitating data exchange and powering our interconnected world. But with this rapid rise comes a growing concern: securing these APIs to safeguard sensitive information. In our recent webinar at SmartBear, "Defend Your APIs: Secure by Design," API experts Frank Kilcommins and Yousaf Nabi unpacked some critical strategies for keeping your APIs safe.

It’s been said that the Federal Government is one of, if not the largest, producer of data in the United States, and this data is at the heart of mission delivery for agencies across the civilian to DoD spectrum. Data is critical to driving the innovation and decision-making that improves services, streamlines operations and strengthens national security.

In December 2023, Snowflake announced its acquisition of data clean room technology provider Samooha. Samooha’s intuitive UI and focus on reducing the complexity of sharing data led to it being named one of the most innovative data science companies of 2024 by Fast Company. Now, Samooha’s offering is integrated into Snowflake and launched as Snowflake Data Clean Rooms, a Snowflake Native App on Snowflake Marketplace, generally available to customers in AWS East, AWS West and Azure West.

Let's talk about something that might not be your favorite topic but is super important: data privacy and security. Now, I know it might sound like just another box to tick off, but hear me out. Ignoring data privacy in today's digital world is like forgetting to lock your doors in a busy neighborhood. Not the best idea, right? We previously discussed the importance of data privacy in analytics, let’s now look at the implications of lack thereof.

Stop me if you’ve heard this one before, but there’s a lot of data out there — and the amount is only growing. Estimates typically show persistent data growth roughly at a 20% annual compounded rate. Capturing, storing, analyzing, and actioning data is at the core of digital applications, and it’s critical for both the day-to-day operations and detecting trends, for reporting, forecasting, and planning purposes.

In an age of rapid technological transformation, governments are playing regulatory catch-up as they try to keep pace with technological developments and the increasing amount of personal identifiable information (“PII”) generated by our every-day lives. Privacy laws regulating the use of PII continue to strengthen (Gartner estimates that while 10% of the world’s population was covered by comprehensive privacy laws in 2020, by year-end 2024 it will be 75%).

Bot attacks are a new threat that many companies need to be aware of.