Data Science

Data Science is all about gaining a competitive advantage for your business by extracting value from data, but how can you do this without hiring specialists such as data scientists?

Victa will meet you where you are now with a team of experts and bring you where you need to be with the best tools and partners. We make data science and machine learning accessible to a wide range of users, including business analysts and executives

The Data Science process consists of a cycle of steps. Data is generated and stored in various data sources at any time of the day. In order to obtain the correct predictions, you must determine which data you will use.

The rearranging, filtering, transforming and enriching of data is done by means of programming. With languages ​​such as Python and R, the data is transformed into models that can be used when making predictions. If there is already BI software available such as Qlik or Power BI, these solutions can also be used as data prep for predictive analytics. For ultimate scalability, security and governance, you can also opt for one data management solution.

After the data has been prepared and transformed, the Data Analyst can get started with statistics. By establishing causal connections, a Data Analyst can make accurate predictions on the data. We can also add extra predictors to our own data set, such as weather or demographic data, in order to be able to make even sharper predictions.

The application of machine learning in data science is a new trend that is very interesting for companies where data and circumstances change frequently. Machine learning ensures that the maximum predictive value is obtained from data by continuously looking at which models give the best result in the current situation.