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Struggling to create a comprehensive customer service report? Here’s everything you need to know, including tips for better data analysis.

ETL pipelines help companies extract, transform, and load data so it is ready to provide insights and value to the company. But running a smooth data operation depends on building reliable and scalable data ingestion pipelines. SaaS vendors like Keboola and Azure Data Factory take away the heavy lifting.

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. Surely there are ways to comb through the data to minimise the risks from spiralling out of control. We need to get to the root of the problem. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI.

ETL (extract, transform, load) is the backbone of modern data integration, efficiently migrating massive quantities of information into a data warehouse like Snowflake. But with so many Snowflake ETL tools on the market these days, how can you choose the best for migrating your data? Below we’ll discuss our favorite Snowflake ETL tools, including their pros, cons, and user reviews so that you can make the choice that’s right for your situation.

It's a week after Black Friday, and the results are in! While online spending didn't break a new record this year, it still totaled a massive $8.9 billion, making Black Friday one of the biggest sales days ever for digital merchants. Online sales were even healthier on Cyber Monday, totaling $10.7 billion. But how did paid marketing contribute to all those holiday shopping season sales? Some e-commerce retailers struggle to measure the effectiveness of their paid campaigns.

29 experts share their take on what’s a good profit margin for a new business to help you understand what you should be aiming for your own company.

There is an explosion of data from a myriad of sources and an insatiable demand to consume it. Traditional manual ETL methods are too brittle to keep up. Leaving many a BI team struggling to provide meaningful business insights quickly.