Analytics

In today’s digital landscape, securing sensitive information is paramount for industries like fintech, healthcare, and e-commerce. These sectors frequently handle sensitive data such as Personal Identifiable Information (PII), Card Holder Data (CHD), Social Security Numbers (SSN), and Personal Health Information (PHI). Ensuring data confidentiality and integrity is essential for regulatory compliance and maintaining customer trust.

Data is the key to better decision-making. Organizations diligently collect vast amounts of data, building data lakes and warehouses to unify it all. The promise is clear - To convert all this data into actionable insights and drive tangible business results. But the reality? Transforming data into actionable domain-specific intelligence and tangible business outcomes remains challenging.

Staying competitive requires embracing change and innovation. Modernizing legacy ERP is one such change that can equip enterprises with the tools they need to thrive. According to Gartner, 45% of CIOs seek to decrease investments in legacy infrastructure. Understanding this transition’s importance and navigating it can position businesses for sustained growth and success.

Let’s say you want to connect an Integration like GA4, and pull data from 3 different “properties” ( = 3 different Data Sources). Before, that required you to authenticate your Google account 3 times. Now, you’ll only have to log in and authenticate the Integration once. Once you do, you can select the Data Sources within that Integration you want the authentication to apply for.

The global API market’s value reached $5.42 billion in 2024 and is expected to grow to $34.17 billion by 2032. This exponential growth underscores the increasing reliance on APIs for digital transformation strategies. As the API economy expands, so does the complexity and volume of data exchanged through APIs. API reporting tools streamline this process by providing all the features you need to leverage APIs effectively.

92% of enterprises are working on or planning an application modernization strategy. This trend shows a growing focus on upgrading technology. Modernizing existing systems and data infrastructure allows organizations to turn old, inefficient setups into flexible, scalable solutions that support future growth. These initiatives mitigate the risks of outdated technology and position companies to take advantage of new opportunities, such as big data analytics and integration with cloud technologies.

We’re happy to announce that Data Apps, which have been in Public beta since September 2023, are finally here for everyone. We received great feedback from the Beta users, and we are excited to roll out Data Apps to general availability. There is also few updates, see "What's new" below. Data Apps is a functionality that allows Keboola users to create interactive web applications that can be infused with your company’s data. It’s quick and easy and only requires knowledge of Python.

A potential recipe for disaster proved to be the focus of every data executive’s agenda over the last year. A year ago many data leaders were caught off-guard. Employees embraced new gen AI tools with fervor, driving interest in all AI initiatives. Generative AI had penetrated the enterprise, with gen AI positioned in the Peak Of Inflated Expectation segment on the Gartner Hype Cycle for Artificial IntelligenceI, 20231.