Olfin Car is a leading seller of new and used cars in the Czech Republic with additional services in the field of financing, authorized car service, and insurance. They have sales of up to two billion CZK and sell over 2500 cars yearly. By combining data analysis, reporting and targeted marketing Olfin Car was able to fundamentally improve the company results both in online sales and in working with data. They ended up running all data processes in Keboola with the help of our partners Marketing BI.

In this series of demystifying the tech trends, my colleagues and I will be looking at busting the buzzwords to help you keep on track. Concerned about puzzling parlance, analytics argot, techie terminology – or plain old jargon? This series breaks down words and concepts to give you the deepest insight and understanding into how to talk the talk in the world of tech, so you can engage in conversations with the confidence of being data literate.

When I was working at Google back in the mid 2000’s, we dealt with tens of billions of ad impressions a day, trained several machine learning models on years worth of historic data, and used frequently-updated models in ranking ads. The whole system was an amazing feat of engineering and there was no system out there that was even close to handling this much data. It took us years and hundreds of engineers to make this happen, today, the same scale can be achieved in any enterprise.

Better HR analytics bring benefits to every business, but data integration must come first.

Revolt BI is a consultancy and data implementation agency that provides comprehensive business intelligence solutions for companies of all sizes, by implementing best-of-breed solutions available on the market. For DataOps, they swear by Keboola to bring all the data neatly together and to automatically process it according to the needs of their clients which in total have over 6,9 billion dollars in revenue combined.

Welcome to the second installment of our ChaosSearch for FinTech blog series, where we explore how financial technology (FinTech) companies can solve analytics challenges and drive business outcomes with ChaosSearch. In Part One of this series, we brought you an in-depth look at how FinTech companies could accelerate application development and streamline operations in the cloud by adopting ChaosSearch for log analytics at scale.

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