toddl.co is an all-in-one booking platform for kids' activities in Spain. Offering more than 2,000 classes, camps, and events to over 17,000 monthly visitors, toddl.co is on a mission to help parents navigate the complex world of extra-curricular activities and to help activity organizers manage and grow their businesses. For businesses, toddl.co streamlines bookings, payments, and client management. This year, toddl.co plans to serve over 15,000 businesses and 50,000 families.

Ever found yourself frustrated by glitches while shopping online? Picture this, you are about to make that crucial purchase, but suddenly, an error message pops up, stopping your transaction. What's behind these digital glitches, and how can they be fixed? That is where Golang logging steps in! When you encounter an error during checkout, Golang logging jumps into action, capturing crucial details about what went wrong.

Combining the impressive cloud storage capabilities of Snowflake with the robust and versatile processing tools of Microsoft Excel is the type of data wizardry that can deliver incredible results. By leveraging these two powerhouses, developers can tap into unparalleled data analysis, visualization, and reporting, transforming raw data into insightful decisions with ease.

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.

Over the past several years, many organizations have shifted their technology focus to the cloud. From a technical perspective, that has required a delicate balancing act, managing tradeoffs between the old and the new. Business leaders have sought to minimize the level of disruption their teams face while modernizing business applications, increasing integration, and adding important new functionality.

So, you’ve built a cutting-edge AI model! Congratulations! With the vast array of AI capabilities coming to market, it may generate realistic product descriptions, analyze customer sentiment, or perform cutting-edge processing. Innovation with AI is helping companies to discover new capabilities and use cases. However, innovation alone isn’t enough. To truly reap the rewards of an investment in AI, companies need a strategy to monetize it.

Every digital interaction generates data. This data can provide invaluable insights and drive effective decision-making when managed effectively. . However, according to a survey, up to 68% of data within an enterprise remains unused, representing an untapped resource for driving business growth. One way of unlocking this potential lies in two critical concepts: data governance and information governance.

The transformation from “testing” to “Quality Assurance (QA)” and then to “Quality Engineering (QE)” has been quite impressive, and it likely has a few more surprises in stock. In our previous article of the "Top 5 software testing trends of 2024", we highlighted the overall “quality at speed” theme and several key trends such as DevOps and Automation. But what exactly do those trends mean for you as the buyer and user of QE tools?

From new data sources to cloud regions and destinations, Fivetran continues to expand what it means to be the leader in data movement.