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Customer Profitability Analysis in E-Commerce

Five things to know about customer profitability analysis: Digital retailers often talk a lot about 'profit' without ever determining the factors that drive profitability in their businesses. One of the biggest contributors to profit in e-commerce is existing and new customers who purchase products and services from online stores. However, the connection between customers and profitability can be unclear unless you carry out the right kind of analysis.

Real-Time Streaming for Data Science

First, we collect data from an existing Kafka stream into an Iguazio time series table. Next, we visualize the stream with a Grafana dashboard; and finally, we access the data in a Jupyter notebook using Python code. We use a Nuclio serverless function to “listen” to a Kafka stream and then ingest its events into our time series table. Iguazio gets you started with a template for Kafka to time series.

What's the Best Version Control For Designers?

Version control is an essential tool for developers. But today, development includes more than just code. Using version control for artist and designers centralizes collaboration and secures valuable digital assets. In this blog, we break down why version control is so important for designers. And we answer — what's the best version control for designers and artists? Read on to learn more + see how a media company scaled Photoshop versioning.

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.