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Choosing an analytics tool demands being conscious of the responsibility that comes with it. When you're handing over behavioral data about your users while relying on third-party infrastructure to manage it, and trusting that their policies and security remain sound, you cannot leave anything to chance. You'd also have to factor in possible scenarios like a vendor being shit down or changing direction, or whether you'll be able to extract your data. Will you be locked into a state of dependency?

A joint post from the teams at NeuBird and Confluent For organizations leveraging Confluent, ensuring smooth operations is mission-critical. While Confluent Cloud eliminates the operational burden of managing Apache Kafka, application teams still need to monitor and troubleshoot client applications connecting to Kafka clusters.

Some data problems are universal — like dealing with unstructured data. At Bystronic, a global leader in sheet metal processing, we have mountains of it. From technical documentation to sales decks, HR policies, and IT knowledge bases, data is scattered across folders, servers, and systems. Industry research shows that 80% of enterprise data is unstructured, meaning it’s often invisible to the teams that need it most. As a result, up to 68% of that data goes unused. The impact is real.

Data is the backbone of modern business, and in the dynamic retail landscape, harnessing this power through retail data analytics isn't just an advantage, it's essential. With the right business intelligence (BI) tool, retailers can transform vast amounts of transactional data into actionable insights, helping optimize operations significantly. Gone are the days when intuition alone sufficed.

For many organizations, achieving effective dashboard design is a recurring problem. Simply put, a lot of effort is likely going into creating dashboards your intended audience don’t even look at. However, it's a problem that can be easily remedied following a few core principles.

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.