Czech fashion brand Pietro Filipi has been producing clothes since 1993; since autumn 2017, a new owner has been at the helm. Michal Mička’s C2H investment firm bought 80% of Pietro Filipi, with the aim of reviving the brand’s prosperity and supporting its expansion both abroad and into e-commerce.

As we covered in our recent NLP blog, there are a lot of cool use cases for text / sentiment analysis. One recent instance we found really interesting came out of our May presentation at SeaTUG (Seattle Tableau User Group.)

We’ve recently experienced two fairly large system problems that have affected approximately 35% of our clients. The first issue took 50 minutes to resolve and the other approximately 10 hours. The root cause in both cases was the way we handled the provisioning of adhoc sandboxes on top of our SnowflakeDB (a few words about “how we started w/ them”).

How do you protect the stability of the work you’ve already done, while evangelizing experimentation, exploration and progress within your organization? The rapid evolution in business intelligence and analytics capabilities is both exhilarating and overwhelming.

Automating the invoicing process to cut down up to 2-3 mandays per month. Our goal was clear. But how did we do it? Assisting clients with data and automation is our specialty here at Keboola, with the mission of helping businesses become “data-driven.” Several months ago it was our turn to put in moto our own engines and build an automated workflow for our invoicing process.

Creative Dock is a Czech startup studio where ideas for new businesses are born, and under their management these ideas become fully-fledged companies. As a client Creative Dock, therefore, represents several clients from different sectors with different needs. A client like this can be a tough nut to crack. When we won the proposal for Creative Dock it meant implementing several tools at a time, and we knew we were in for a rough ride. But we like a challenge.

All marketers have to deal with essentially the same problem when managing their online campaigns and looking for the right attribution model: the data they need for evaluation is scattered across various systems, and collecting and collating it takes too much time. If they decide to use solutions intended to help them to handle this problem, they often find such solutions are not, in themselves, enough.