PASSIO BLOG

So, if you want your data science team to achieve more, make sure they meet these three Cs: Context, Consistency, and (secure) Collaboration

Data virtualisation is very important and a trend, but it has some myths that are based on misconceptions and even a lack of knowledge.

The data monetization landscape in changing rapidly and companies need to adapt if they do not want to be left behind.

As the amount of data available to us grows exponentially, information visualisation becomes very important to decision-making process.

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,

Today, data is an invaluable resource for all businesses and developing a data strategy can help organisations overcome challenges...

This scary good marketing data proves that Halloween consumerism is ALIVE, and data can help to reach the right audiences.

One of the hardest tasks while developing a predictive model is the selection of the right algorithm.

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

With more accurate predictions, smarter business decisions will be made, and this is the main value that data science offers to marketing.

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

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

Data virtualization tools have been gained value across the world.