PASSIO BLOG

Machine learning is nowadays a hot topic with great development, especially for the advantages it brings to business.

The total amount of data created, captured, copied and consumed globally has increased more than 5000% and is expected to continue...

Data Science is a competitive weapon and can improve operational efficiency and customer relationships...

Predicting the future is difficult and risky and in the tech industry is even more. In 2022, the covid-19 pandemic will continue to...

Data is one of the most valuable assets of any organisation and using data effectively can directly improve business results...

Big data allow football clubs to gain a competitive edge on and off the pitch. But, analyse and extracting valuable insights is not...

Companies use PowerBI as a tool for analysing the data obtained, to make more assertive decisions and improve their businesses.

The amount of data available grows each day and never was so much data generated has today, but this data is only valued when it is stored,

Organisations should learn from COVID-19, as successful businesses will be those that can adapt to any type of unexpected emergency.

Data collection is a huge asset for companies, but more important is the analysis and use of that data.

The main role of DOMO software is to transform large amounts of data into relevant insights, which will help decision-makers.

There are so many events that impact a business performance and a dashboard summarizes the most important events so you can take decisions.

One of the biggest apps, MicroStrategy, recently presented its news for 2020, which promises to streamline and improve the 2019 version.

Estimating the average object creation time in traditional ETL tools depends on the structures of the organizations and the type of creation

Nowadays everyone talks about big data, and many companies are using it to improve their businesses, and Netflix is the perfect example.

I admit that, like many professionals in my area, the initial skepticism about the DataRobot platform - and many AutoML platforms - was big,