The world produces more data than it can consume. Every minute, we watch more than 5 million videos and send over 200 million messages and emails. You read that right. Every. Single. Minute. Companies that want to tap into data-driven decision-making to dominate their competition need to collect the vast amounts of data produced and extract valuable insights using data analysis. But data collection can be extremely challenging.

Data is produced and consumed at volumes and speeds which were unimaginable just a decade ago.Top players have taken advantage of this growth. Tapping into data resources for actionable insights - aptly called the new oil - makes data-driven companies dominate their competition. But the proliferation of data can lead to growing pains. Companies find themselves increasingly incapacitated by the vast and messy nature of their in-house data.

The problem with modern analytics is that it overpromises and underdelivers. We can even quantify the disappointment: This begs the question: why even bother with analytics? Well, when analytics is done right, it pays back $13.01 for every dollar spent. In fact, data-driven companies outperform their competitors in almost every conceivable way. We have broached the topic of extracting value from data before, from how to set up the right data strategy to building a data-driven culture.

Data is the oil that fuels the growth of modern enterprises. But unless you have the tools to unlock the potential of data, you might be left stuck on the tracks as your competitors speed ahead. With the rise of Big Data, the nature of the data that we work with has changed drastically. Data scientists like to refer to the ‘3 Vs’ of Big Data: The 3 Vs of Big Data reshaped the data landscape as we knew it.

Economists have predicted that a leisurely 15-hour workweek awaits us in the future, with robots taking over the menial tasks so that we’ll be free to explore the more cognitively stimulating aspects of our jobs. Sounds like science fiction, right?

You've probably heard of Generic Extractor (Keboola's component for extracting data from virtually any API), and now get ready for Generic Writer. A tool which allows you to load data to REST APIs.

We’ve all heard the war stories born out of wrong data: These stories don’t just make you and your company look like fools, they also cause great economic damages. And the more your enterprise relies on data, the greater the potential for harm. Here, we take a look at what data quality is and how the entire data quality management process can be improved.

On average, data-driven companies grow more than 30% every year. Because of the competitive advantage that data confers to incumbents who are capable of extracting value from it, it has been called the new oil. Companies are tapping into this well of resources because of the advantages that it has to offer: But using data to run your operations poses its own set of challenges.

Data architecture is a hot topic right now. And rightfully so. Technological advances bring out a myriad of new solutions that go beyond the traditional relational databases and data warehouses. They enable companies to accelerate their entire data pipeline (or at least remove painful bottlenecks) and shorten the analytic cycles. The portfolio of data assets managed by companies is also growing.

Over the past few months, we’ve been considering how to create a platform that’s accessible to everyone. With that said, we’re happy to announce that you can now use Keboola Connection for free! No contract, no talking to our (albeit incredibly lovely) sales team - just jump in and start building.