Systems | Development | Analytics | API | Testing

5 benefits of modernizing your application's analytics with embedded analytics

As an ISV company selling a SaaS application, you have built analytics into your software because you know customers highly value insights into the data that's held within your application. Giving your customers business intelligence (BI) and analytics within your application offers them a window of insight into the data to help them optimize their business. You deliver more value which boosts end user adoption and means your client buys for longer.

How to Handle the Clone Not Supported Exception in Java

The CloneNotSupportedException is an exception in Java that is thrown to indicate that the clone() method in class Object was called to clone an object, but that object's class does not implement the Cloneable interface. Applications that override the clone() method can also throw this exception to indicate that an object could not or should not be cloned.

GigaOm Names Iguazio a Leader and Outperformer for 2022

We’re proud to share that the Iguazio MLOps Platform has been named a leader and outperformer in the GigaOm Radar for Data Science Platforms: Pure-Play Specialist and Startup Vendors report. The GigaOm Radar reports take a forward-looking view of the market and are geared towards IT leaders tasked with evaluating solutions with an eye to the future. GigaOm analysts emphasize the value of innovation and differentiation over incumbent market position.

How Olfin Car increased its sales by 760%

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.

Little Fluffy Hybrid Clouds

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.

What defines the modern data stack and why you should care

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.

What is a Workflow?

When we talk about technology, we should try to do it in the simplest possible terms. But while we hear many CEOs and other tech executives preach this advice, it’s rarely followed—and the workflow software space is no exception. Popular workflow lingo like hyperautomation, digital process automation, and intelligent automation all mean essentially the same thing: to digitize processes for efficiency, consistency, and compliance.

Revolt BI: Implementing Keboola results in a 20x faster data simulation model, 3-5% revenue increase, or even identifying 815,000 EUR of savings

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.