Data predicts
by Machine Learning
apply correctly
Currently, it is unimaginable; Artificial Intelligence. For many, this was still a step too far, but ChatGTP and MidJourney have proven otherwise in this. Developments are moving very fast and we are moving with them. That’s why we have a team focused on Machine Learning solutions. It is not too early to get in. Every day you wait is actually too late.
BI tools provide insight into what has happened in the past and help analyze historical data to identify trends. This is important for understanding the company’s performance and making decisions based on these insights.
Machine Learning, on the other hand, allows you to look into the future and make predictions about what might happen. This can help in making proactive decisions rather than being reactive to events that have already occurred.
Machine Learning can also help discover patterns in data that are not always easy to see with traditional BI tools. For example, it can detect patterns in unstructured data such as text, images and videos, which are not easily analyzed by BI tools.
Moreover, Machine Learning can help automate tasks that would normally take a lot of time and human effort. This allows companies to optimize their processes and increase efficiency.
In short, Machine Learning complements BI because it adds additional intelligence to the data already available in a BI system, allowing companies to make better decisions and optimize their processes.
These are just some of the many benefits of Machine Learning on your data. Depending on the specific application and available data, there are many more benefits to be gained.
A company has a significant inventory of various products and finds it difficult to keep track of which products are selling well and which are not. The company uses traditional methods to track and order inventory. This client requires a solution to optimize product inventory to ensure better sales and fewer losses.
Machine learning allows the company to predict which products are likely to sell based on historical sales data. With this new insight, the company can increase or decrease inventory of certain products to increase sales and reduce losses.
Please feel free to contact us for more information!
We have been doing this since 1998 with a tremendous passion for data and technology and a real results-oriented, no-nonsense mentality. In an open, transparent working environment, we like to give our specialists the space to get the best out of themselves. The love of the profession, freedom and synergy between our young potentials and professionals result in a close-knit team feeling.
